DiLab - User contributions [en]

LU-pysem

2020-12-02T13:55:14Z

CaptSolo:

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.



 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

'''Exams (presentation of the course project) will take place:'''
* on 08-Jan-2021 and 22-Jan-2021 at 14:00
** location: online (Zoom)
* you can also present the course project at the last lecture (18-Dec-2020)

 

Presentation sign-up form:
* https://forms.gle/joPBuJWeo4os5MXr6

 





 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:45'''
* location: room 336 (LU, Raiņa bulv. 19)
* first seminar: 11-Sept-2020

 

Slack channel:
* https://pythonludf.slack.com

 

=== Seminar materials ===

Seminar materials will be published in the GitHub repository:
* https://github.com/ValRCS/ValRCS-LU_PySem_2020_2

 

Last years' repositories:
* (Spring 2020) https://github.com/ValRCS/LU_PySem_2020_1
* (Autumn 2019) https://github.com/ValRCS/LU_PySem_2019

 

=== Presentations ===

Presentation sign-up form:
* https://forms.gle/joPBuJWeo4os5MXr6

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = up to 7 points (out of 10)
** Project should be a Python program or a Jupyter notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = up to 4 points
** Presentation on a cool Python library or project = 1..3 points each (2 presentations possible)
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
*** everyone needs to present at least once
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.

More information: [[LU-pysem/CourseProject|Course Project]]

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, on machine learning)
* Pēteris Paikens (LU MII)
* ...

LU-pysem/CourseProject

2020-11-15T20:19:36Z

CaptSolo: /* Final project presentations */

Parent page: [[LU-pysem|LU-pysem]]

==Course Project==

=== Submit your project topic: ===

Final project topic sign-up form (Autumn 2020):
* https://forms.gle/jPTMcEeGMfnpSFQk6
* '''enter your project topic by November 8, 2020'''

=== About the Course Project ===
During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Python libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

=== Final project presentations ===

Project presentation dates:
* during the last class (18-Dec-2020)
* on 08-Jan-2021 and 22-Jan-2021 at 14:00 (online)



'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Before presenting: each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

LU-pysem

2020-11-15T20:16:49Z

CaptSolo:

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.



 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

'''Exams (presentation of the course project) will take place:'''
* on 08-Jan-2021 and 22-Jan-2021 at 14:00
** location: online
* you can also present the course project at the last lecture (18-Dec-2020)

 

Presentation sign-up form:
* https://forms.gle/joPBuJWeo4os5MXr6

 





 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:45'''
* location: room 336 (LU, Raiņa bulv. 19)
* first seminar: 11-Sept-2020

 

Slack channel:
* https://pythonludf.slack.com

 

=== Seminar materials ===

Seminar materials will be published in the GitHub repository:
* https://github.com/ValRCS/ValRCS-LU_PySem_2020_2

 

Last years' repositories:
* (Spring 2020) https://github.com/ValRCS/LU_PySem_2020_1
* (Autumn 2019) https://github.com/ValRCS/LU_PySem_2019

 

=== Presentations ===

Presentation sign-up form:
* https://forms.gle/joPBuJWeo4os5MXr6

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = up to 7 points (out of 10)
** Project should be a Python program or a Jupyter notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = up to 4 points
** Presentation on a cool Python library or project = 1..3 points each (2 presentations possible)
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
*** everyone needs to present at least once
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.

More information: [[LU-pysem/CourseProject|Course Project]]

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, on machine learning)
* Pēteris Paikens (LU MII)
* ...

LU-pysem/CourseProject

2020-10-30T10:45:07Z

CaptSolo: /* Course Project */

Parent page: [[LU-pysem|LU-pysem]]

==Course Project==

=== Submit your project topic: ===

Final project topic sign-up form (Autumn 2020):
* https://forms.gle/jPTMcEeGMfnpSFQk6
* '''enter your project topic by November 8, 2020'''

=== About the Course Project ===
During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Python libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

=== Final project presentations ===

Project presentation = during the last class



'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Before presenting: each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

LU-pysem

2020-10-02T07:46:57Z

CaptSolo:

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.



 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

Presentation sign-up form:
* https://forms.gle/joPBuJWeo4os5MXr6

 

Course registration form (Autumn 2020): https://forms.gle/FBGsJiS6CxA8eQZu5

 

Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/zt-h5jgmncj-HztHdIwet3Xrgxei8hgnBw link for joining Slack]



 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:45'''
* location: room 336 (LU, Raiņa bulv. 19)
* first seminar: 11-Sept-2020

 

Slack channel:
* https://pythonludf.slack.com

 

=== Seminar materials ===

Seminar materials will be published in the GitHub repository:
* https://github.com/ValRCS/ValRCS-LU_PySem_2020_2

 

Last years' repositories:
* (Spring 2020) https://github.com/ValRCS/LU_PySem_2020_1
* (Autumn 2019) https://github.com/ValRCS/LU_PySem_2019

 

=== Presentations ===

Presentation sign-up form:
* https://forms.gle/joPBuJWeo4os5MXr6

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = up to 7 points (out of 10)
** Project should be a Python program or a Jupyter notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = up to 4 points
** Presentation on a cool Python library or project = 1..3 points each (2 presentations possible)
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
*** everyone needs to present at least once
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.

More information: [[LU-pysem/CourseProject|Course Project]]

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, on machine learning)
* Pēteris Paikens (LU MII)
* ...

LU-pysem

2020-10-02T07:46:31Z

CaptSolo: /* Seminar: Getting things done with Python */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.



 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

Presentation sign-up form:
* https://forms.gle/joPBuJWeo4os5MXr6

 

* course registration form (Autumn 2020): https://forms.gle/FBGsJiS6CxA8eQZu5

 

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/zt-h5jgmncj-HztHdIwet3Xrgxei8hgnBw link for joining Slack]



 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:45'''
* location: room 336 (LU, Raiņa bulv. 19)
* first seminar: 11-Sept-2020

 

Slack channel:
* https://pythonludf.slack.com

 

=== Seminar materials ===

Seminar materials will be published in the GitHub repository:
* https://github.com/ValRCS/ValRCS-LU_PySem_2020_2

 

Last years' repositories:
* (Spring 2020) https://github.com/ValRCS/LU_PySem_2020_1
* (Autumn 2019) https://github.com/ValRCS/LU_PySem_2019

 

=== Presentations ===

Presentation sign-up form:
* https://forms.gle/joPBuJWeo4os5MXr6

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = up to 7 points (out of 10)
** Project should be a Python program or a Jupyter notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = up to 4 points
** Presentation on a cool Python library or project = 1..3 points each (2 presentations possible)
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
*** everyone needs to present at least once
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.

More information: [[LU-pysem/CourseProject|Course Project]]

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, on machine learning)
* Pēteris Paikens (LU MII)
* ...

LU-pysem

2020-09-14T08:12:27Z

CaptSolo: /* Information and Resources */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.



 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

* course registration form (Autumn 2020): https://forms.gle/FBGsJiS6CxA8eQZu5

 

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/zt-h5jgmncj-HztHdIwet3Xrgxei8hgnBw link for joining Slack]



 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:45'''
* location: room 336 (LU, Raiņa bulv. 19)
* first seminar: 11-Sept-2020

 

Slack channel:
* https://pythonludf.slack.com

 

=== Seminar materials ===

Seminar materials will be published in the GitHub repository:
* https://github.com/ValRCS/ValRCS-LU_PySem_2020_2

 

Last years' repositories:
* (Spring 2020) https://github.com/ValRCS/LU_PySem_2020_1
* (Autumn 2019) https://github.com/ValRCS/LU_PySem_2019

 

=== Presentations ===

Presentation sign-up form:
* https://forms.gle/joPBuJWeo4os5MXr6

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = up to 7 points (out of 10)
** Project should be a Python program or a Jupyter notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = up to 4 points
** Presentation on a cool Python library or project = 1..3 points each (2 presentations possible)
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
*** everyone needs to present at least once
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.

More information: [[LU-pysem/CourseProject|Course Project]]

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, on machine learning)
* Pēteris Paikens (LU MII)
* ...

LU-pysem

2020-09-14T08:12:02Z

CaptSolo:

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.



 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

* course registration form (Autumn 2020): https://forms.gle/FBGsJiS6CxA8eQZu5

 

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/zt-h5jgmncj-HztHdIwet3Xrgxei8hgnBw link for joining Slack]



 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:45'''
* location: room 336 (LU, Raiņa bulv. 19)
* first seminar: 11-Sept-2020

 

Slack channel: https://pythonludf.slack.com

 

=== Seminar materials ===

Seminar materials will be published in the GitHub repository:
* https://github.com/ValRCS/ValRCS-LU_PySem_2020_2

 

Last years' repositories:
* (Spring 2020) https://github.com/ValRCS/LU_PySem_2020_1
* (Autumn 2019) https://github.com/ValRCS/LU_PySem_2019

 

=== Presentations ===

Presentation sign-up form:
* https://forms.gle/joPBuJWeo4os5MXr6

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = up to 7 points (out of 10)
** Project should be a Python program or a Jupyter notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = up to 4 points
** Presentation on a cool Python library or project = 1..3 points each (2 presentations possible)
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
*** everyone needs to present at least once
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.

More information: [[LU-pysem/CourseProject|Course Project]]

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, on machine learning)
* Pēteris Paikens (LU MII)
* ...

LU-pysem

2020-09-11T10:24:01Z

CaptSolo: /* Seminar materials */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.



 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

* course registration form (Autumn 2020): https://forms.gle/FBGsJiS6CxA8eQZu5

 

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/zt-h5jgmncj-HztHdIwet3Xrgxei8hgnBw link for joining Slack]
** https://pythonludf.slack.com



 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:45'''
* location: room 336 (LU, Raiņa bulv. 19)
* first seminar: 11-Sept-2020

 

=== Seminar materials ===

Seminar materials will be published in the GitHub repository:
* https://github.com/ValRCS/ValRCS-LU_PySem_2020_2

 

Last years' repositories:
* (Spring 2020) https://github.com/ValRCS/LU_PySem_2020_1
* (Autumn 2019) https://github.com/ValRCS/LU_PySem_2019

 

=== Presentations ===

Presentation sign-up form:
* https://forms.gle/joPBuJWeo4os5MXr6

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = up to 7 points (out of 10)
** Project should be a Python program or a Jupyter notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = up to 4 points
** Presentation on a cool Python library or project = 1..3 points each (2 presentations possible)
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
*** everyone needs to present at least once
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.

More information: [[LU-pysem/CourseProject|Course Project]]

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, on machine learning)
* Pēteris Paikens (LU MII)
* ...

LU-pysem

2020-09-11T08:05:47Z

CaptSolo: /* Course Requirements and Grading */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.



 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

* course registration form (Autumn 2020): https://forms.gle/FBGsJiS6CxA8eQZu5

 

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/zt-h5jgmncj-HztHdIwet3Xrgxei8hgnBw link for joining Slack]
** https://pythonludf.slack.com



 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:45'''
* location: room 336 (LU, Raiņa bulv. 19)
* first seminar: 11-Sept-2020

 

=== Seminar materials ===

Seminar materials will be published in a GitHub repository:
* https://github.com/ValRCS/ValRCS-LU_PySem_2020_2

 

Last years' repositories:
* (Spring 2020) https://github.com/ValRCS/LU_PySem_2020_1
* (Autumn 2019) https://github.com/ValRCS/LU_PySem_2019

 

=== Presentations ===

Presentation sign-up form:
* https://forms.gle/joPBuJWeo4os5MXr6

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = up to 7 points (out of 10)
** Project should be a Python program or a Jupyter notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = up to 4 points
** Presentation on a cool Python library or project = 1..3 points each (2 presentations possible)
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
*** everyone needs to present at least once
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.

More information: [[LU-pysem/CourseProject|Course Project]]

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, on machine learning)
* Pēteris Paikens (LU MII)
* ...

LU-pysem

2020-09-11T08:05:21Z

CaptSolo: /* Course Requirements and Grading */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.



 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

* course registration form (Autumn 2020): https://forms.gle/FBGsJiS6CxA8eQZu5

 

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/zt-h5jgmncj-HztHdIwet3Xrgxei8hgnBw link for joining Slack]
** https://pythonludf.slack.com



 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:45'''
* location: room 336 (LU, Raiņa bulv. 19)
* first seminar: 11-Sept-2020

 

=== Seminar materials ===

Seminar materials will be published in a GitHub repository:
* https://github.com/ValRCS/ValRCS-LU_PySem_2020_2

 

Last years' repositories:
* (Spring 2020) https://github.com/ValRCS/LU_PySem_2020_1
* (Autumn 2019) https://github.com/ValRCS/LU_PySem_2019

 

=== Presentations ===

Presentation sign-up form:
* https://forms.gle/joPBuJWeo4os5MXr6

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = up to 7 points (out of 10)
** Project should be a Python program or a Jupyter notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = up to 4 points
** Presentation on a cool Python library or project = 1-3 points each (2 presentations possible)
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
*** everyone needs to present at least once
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.

More information: [[LU-pysem/CourseProject|Course Project]]

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, on machine learning)
* Pēteris Paikens (LU MII)
* ...

LU-pysem

2020-09-11T08:01:50Z

CaptSolo: /* Course Requirements and Grading */

LU-pysem

2020-09-11T07:59:50Z

CaptSolo: /* Course Requirements and Grading */

LU-pysem

2020-09-11T07:59:32Z

CaptSolo: /* Course Requirements and Grading */

LU-pysem

2020-09-10T11:42:34Z

CaptSolo: /* Information and Resources */

LU-pysem/CourseProject

2020-09-07T13:17:28Z

CaptSolo:

Parent page: [[LU-pysem|LU-pysem]]

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

=== Submit your project topic: ===

Final project topic sign-up form (Autumn 2020):
* https://forms.gle/jPTMcEeGMfnpSFQk6

=== Final project presentations ===

Project presentation = during the last class



'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Before presenting: each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

LU-pysem/CourseProject

2020-09-07T13:17:09Z

CaptSolo:

[[LU-pysem|Parent page: LU-pysem]]

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

=== Submit your project topic: ===

Final project topic sign-up form (Autumn 2020):
* https://forms.gle/jPTMcEeGMfnpSFQk6

=== Final project presentations ===

Project presentation = during the last class



'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Before presenting: each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

LU-pysem/CourseProject

2020-09-07T13:16:08Z

CaptSolo: /* Final project presentations */

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

=== Submit your project topic: ===

Final project topic sign-up form (Autumn 2020):
* https://forms.gle/jPTMcEeGMfnpSFQk6

=== Final project presentations ===

Project presentation = during the last class



'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Before presenting: each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

LU-pysem/CourseProject

2020-09-07T13:15:25Z

CaptSolo: /* Final project presentations */

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

=== Submit your project topic: ===

Final project topic sign-up form (Autumn 2020):
* https://forms.gle/jPTMcEeGMfnpSFQk6

=== Final project presentations ===

Project presentation = during the last class



'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

LU-pysem/CourseProject

2020-09-07T13:14:50Z

CaptSolo: /* Final project presentations */

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

=== Submit your project topic: ===

Final project topic sign-up form (Autumn 2020):
* https://forms.gle/jPTMcEeGMfnpSFQk6

=== Final project presentations ===

Project presentation = during the last class (29.05.2020 @ 14:30)



 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

LU-pysem/CourseProject

2020-09-07T13:14:20Z

CaptSolo: /* Submit your project topic: */

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

=== Submit your project topic: ===

Final project topic sign-up form (Autumn 2020):
* https://forms.gle/jPTMcEeGMfnpSFQk6

=== Final project presentations ===

Project presentation = during the last class (29.05.2020 @ 14:30)
* Location: online (Zoom teleconference)

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

LU-pysem

2020-09-07T13:02:44Z

CaptSolo: /* Presentations */

LU-pysem

2020-09-07T13:02:27Z

CaptSolo: /* Information and Resources */

LU-pysem

2020-09-07T12:55:24Z

CaptSolo: /* Seminar: Getting things done with Python */

LU-pysem

2020-09-06T19:40:12Z

CaptSolo: /* Organizers */

LU-pysem

2020-09-06T19:39:35Z

CaptSolo: /* Course Project */

LU-pysem/CourseProject

2020-09-06T19:37:49Z

CaptSolo: Created page with "==Course Project== During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools. * pr..."

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

=== Submit your project topic: ===

Final project topic sign-up form:
* https://forms.gle/LrMprE4Spx3qJ6BY6

=== Final project presentations ===

Project presentation = during the last class (29.05.2020 @ 14:30)
* Location: online (Zoom teleconference)

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

LU-pysem

2020-09-04T14:12:52Z

CaptSolo: /* Information and Resources */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.



 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6

 

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/zt-h5jgmncj-HztHdIwet3Xrgxei8hgnBw link for joining Slack]
** https://pythonludf.slack.com



 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:45'''
* location: room 336 (LU, Raiņa bulv. 19)
* first seminar: 11-Sept-2020

 

=== Seminar materials ===

Seminar materials will be published in a GitHub repository.

 

Last years' repositories:
* (Spring 2020) https://github.com/ValRCS/LU_PySem_2020_1
* (Autumn 2019) https://github.com/ValRCS/LU_PySem_2019

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = up to 7 points (out of 10)
** Project should be a Python program or notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = up to 4 points (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

=== Submit your project topic: ===

Final project topic sign-up form:
* https://forms.gle/LrMprE4Spx3qJ6BY6

=== Final project presentations ===

Project presentation = during the last class (29.05.2020 @ 14:30)
* Location: online (Zoom teleconference)

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

LU-pysem

2020-09-04T14:06:53Z

CaptSolo: /* Grading */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.



 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6

 

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/zt-h5jgmncj-HztHdIwet3Xrgxei8hgnBw link for joining Slack]
** https://pythonludf.slack.com



 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:45'''
* location: room 336 (LU, Raiņa bulv. 19)

 

=== Seminar materials ===

Seminar materials will be published in a GitHub repository.

 

Last years' repositories:
* (Spring 2020) https://github.com/ValRCS/LU_PySem_2020_1
* (Autumn 2019) https://github.com/ValRCS/LU_PySem_2019

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = up to 7 points (out of 10)
** Project should be a Python program or notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = up to 4 points (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

=== Submit your project topic: ===

Final project topic sign-up form:
* https://forms.gle/LrMprE4Spx3qJ6BY6

=== Final project presentations ===

Project presentation = during the last class (29.05.2020 @ 14:30)
* Location: online (Zoom teleconference)

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

LU-pysem

2020-09-04T14:04:02Z

CaptSolo: /* Information and Resources */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.



 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6

 

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/zt-h5jgmncj-HztHdIwet3Xrgxei8hgnBw link for joining Slack]
** https://pythonludf.slack.com



 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:45'''
* location: room 336 (LU, Raiņa bulv. 19)

 

=== Seminar materials ===

Seminar materials will be published in a GitHub repository.

 

Last years' repositories:
* (Spring 2020) https://github.com/ValRCS/LU_PySem_2020_1
* (Autumn 2019) https://github.com/ValRCS/LU_PySem_2019

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = up to 7 points (out of 10)
** Project should be a Python program or notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = up to 4 points (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

=== Submit your project topic: ===

Final project topic sign-up form:
* https://forms.gle/LrMprE4Spx3qJ6BY6

=== Final project presentations ===

Project presentation = during the last class (29.05.2020 @ 14:30)
* Location: online (Zoom teleconference)

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

== Grading ==

Grading will be based on your participation in the seminar (and its discussions) and your group project work.
* Participants will do a practical project using Python. Projects can be done in groups of two.

At the end of the course participants must fill out the course evaluation questionnaire in LUIS (this is a formal requirement for all courses).

LU-pysem

2020-09-04T14:03:06Z

CaptSolo:

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.



 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6

 

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/zt-h5jgmncj-HztHdIwet3Xrgxei8hgnBw link for joining Slack]
** https://pythonludf.slack.com



 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:30'''
* location: room 336 (LU, Raiņa bulv. 19)

 

=== Seminar materials ===

Seminar materials will be published in a GitHub repository.

 

Last years' repositories:
* (Spring 2020) https://github.com/ValRCS/LU_PySem_2020_1
* (Autumn 2019) https://github.com/ValRCS/LU_PySem_2019

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = up to 7 points (out of 10)
** Project should be a Python program or notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = up to 4 points (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

=== Submit your project topic: ===

Final project topic sign-up form:
* https://forms.gle/LrMprE4Spx3qJ6BY6

=== Final project presentations ===

Project presentation = during the last class (29.05.2020 @ 14:30)
* Location: online (Zoom teleconference)

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

== Grading ==

Grading will be based on your participation in the seminar (and its discussions) and your group project work.
* Participants will do a practical project using Python. Projects can be done in groups of two.

At the end of the course participants must fill out the course evaluation questionnaire in LUIS (this is a formal requirement for all courses).

LU-pysem

2020-09-04T14:02:43Z

CaptSolo:

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.



 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/zt-h5jgmncj-HztHdIwet3Xrgxei8hgnBw link for joining Slack]
** https://pythonludf.slack.com



 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:30'''
* location: room 336 (LU, Raiņa bulv. 19)

 

=== Seminar materials ===

Seminar materials will be published in a GitHub repository.

 

Last years' repositories:
* (Spring 2020) https://github.com/ValRCS/LU_PySem_2020_1
* (Autumn 2019) https://github.com/ValRCS/LU_PySem_2019

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = up to 7 points (out of 10)
** Project should be a Python program or notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = up to 4 points (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

=== Submit your project topic: ===

Final project topic sign-up form:
* https://forms.gle/LrMprE4Spx3qJ6BY6

=== Final project presentations ===

Project presentation = during the last class (29.05.2020 @ 14:30)
* Location: online (Zoom teleconference)

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

== Grading ==

Grading will be based on your participation in the seminar (and its discussions) and your group project work.
* Participants will do a practical project using Python. Projects can be done in groups of two.

At the end of the course participants must fill out the course evaluation questionnaire in LUIS (this is a formal requirement for all courses).

LU-pysem/Archive2019

2020-09-04T13:38:31Z

CaptSolo:

= Arhīva lapa =

'''Uzmanību: šī lapa satur novecojušu informāciju - tā ir jau notikuša LU DF semināra informācijas arhīvs.'''

----

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.

 

'''Update: lectures will take place online (Zoom)'''



 

* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/enQtOTM2MDkxNzcwMDM4LWE2NmQ3MmMwMWUyZThjMDIyZDI2ODZhNmE0ZTBlMjhiOTA0NmI2YjNiNzg2YTIxZWMyNGYzMDcyMWM1ZTI5NWU link for joining Slack]
** https://pythonludf.slack.com

 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

* Presentation topic signup form: https://forms.gle/46Liu7bSQJKUpy31A

* Final project signup form: https://forms.gle/LrMprE4Spx3qJ6BY6

 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:30'''
* location: room 336 (LU, Raiņa bulv. 19)

 

=== Seminar materials ===

Seminar materials can be found in the GitHub repository:
* https://github.com/ValRCS/LU_PySem_2020_1

 

Last year's (Autumn 2019) repository:
* https://github.com/ValRCS/LU_PySem_2019

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = up to 7 points (out of 10)
** Project should be a Python program or notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = up to 4 points (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

=== Submit your project topic: ===

Final project topic sign-up form:
* https://forms.gle/LrMprE4Spx3qJ6BY6

=== Final project presentations ===

Project presentation = during the last class (29.05.2020 @ 14:30)
* Location: online (Zoom teleconference)

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

== Grading ==

Grading will be based on your participation in the seminar (and its discussions) and your group project work.
* Participants will do a practical project using Python. Projects can be done in groups of two.

At the end of the course participants must fill out the course evaluation questionnaire in LUIS (this is a formal requirement for all courses).

LU-pysem/Archive2019

2020-09-04T13:38:01Z

CaptSolo: Created page with "= Arhīva lapa = '''Uzmanību: šī lapa satur novecojušu informāciju - tā ir jau notikuša LU DF semināra informācijas arhīvs.''' ----"

= Arhīva lapa =

'''Uzmanību: šī lapa satur novecojušu informāciju - tā ir jau notikuša LU DF semināra informācijas arhīvs.'''

----

LU-pysem

2020-05-25T13:05:50Z

CaptSolo: /* Seminar: Getting things done with Python */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.

 

'''Update: lectures will take place online (Zoom)'''



 

* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/enQtOTM2MDkxNzcwMDM4LWE2NmQ3MmMwMWUyZThjMDIyZDI2ODZhNmE0ZTBlMjhiOTA0NmI2YjNiNzg2YTIxZWMyNGYzMDcyMWM1ZTI5NWU link for joining Slack]
** https://pythonludf.slack.com

 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

* Presentation topic signup form: https://forms.gle/46Liu7bSQJKUpy31A

* Final project signup form: https://forms.gle/LrMprE4Spx3qJ6BY6

 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:30'''
* location: room 336 (LU, Raiņa bulv. 19)

 

=== Seminar materials ===

Seminar materials can be found in the GitHub repository:
* https://github.com/ValRCS/LU_PySem_2020_1

 

Last year's (Autumn 2019) repository:
* https://github.com/ValRCS/LU_PySem_2019

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = up to 7 points (out of 10)
** Project should be a Python program or notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = up to 4 points (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

=== Submit your project topic: ===

Final project topic sign-up form:
* https://forms.gle/LrMprE4Spx3qJ6BY6

=== Final project presentations ===

Project presentation = during the last class (29.05.2020 @ 14:30)
* Location: online (Zoom teleconference)

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

== Grading ==

Grading will be based on your participation in the seminar (and its discussions) and your group project work.
* Participants will do a practical project using Python. Projects can be done in groups of two.

At the end of the course participants must fill out the course evaluation questionnaire in LUIS (this is a formal requirement for all courses).

LU-pysem

2020-05-25T13:01:31Z

CaptSolo: /* Final project presentations */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.

 

'''Update: all lectures will be in room 345.'''

 

'''Python seminar will continue in the next (Spring 2020) semester'''
* It will take place on Fridays @ 14:30 in room 345 (LU, Raiņa bulv. 19)
* First lecture: 07-Feb-2020
* '''everyone must join Slack and fill out seminar registration form'''

''You can also join if you did not participate in the Python seminar before.''

 

* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/enQtOTM2MDkxNzcwMDM4LWE2NmQ3MmMwMWUyZThjMDIyZDI2ODZhNmE0ZTBlMjhiOTA0NmI2YjNiNzg2YTIxZWMyNGYzMDcyMWM1ZTI5NWU link for joining Slack]
** https://pythonludf.slack.com

 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

* Presentation topic signup form: https://forms.gle/46Liu7bSQJKUpy31A

* Final project signup form: https://forms.gle/LrMprE4Spx3qJ6BY6

 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:30'''
* location: room 336 (LU, Raiņa bulv. 19)

 

=== Seminar materials ===

Seminar materials can be found in the GitHub repository:
* https://github.com/ValRCS/LU_PySem_2020_1

 

Last year's (Autumn 2019) repository:
* https://github.com/ValRCS/LU_PySem_2019

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = up to 7 points (out of 10)
** Project should be a Python program or notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = up to 4 points (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

=== Submit your project topic: ===

Final project topic sign-up form:
* https://forms.gle/LrMprE4Spx3qJ6BY6

=== Final project presentations ===

Project presentation = during the last class (29.05.2020 @ 14:30)
* Location: online (Zoom teleconference)

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

== Grading ==

Grading will be based on your participation in the seminar (and its discussions) and your group project work.
* Participants will do a practical project using Python. Projects can be done in groups of two.

At the end of the course participants must fill out the course evaluation questionnaire in LUIS (this is a formal requirement for all courses).

LU-pysem

2020-04-03T09:45:03Z

CaptSolo: /* Course Project */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.

 

'''Update: all lectures will be in room 345.'''

 

'''Python seminar will continue in the next (Spring 2020) semester'''
* It will take place on Fridays @ 14:30 in room 345 (LU, Raiņa bulv. 19)
* First lecture: 07-Feb-2020
* '''everyone must join Slack and fill out seminar registration form'''

''You can also join if you did not participate in the Python seminar before.''

 

* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/enQtOTM2MDkxNzcwMDM4LWE2NmQ3MmMwMWUyZThjMDIyZDI2ODZhNmE0ZTBlMjhiOTA0NmI2YjNiNzg2YTIxZWMyNGYzMDcyMWM1ZTI5NWU link for joining Slack]
** https://pythonludf.slack.com

 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

* Presentation topic signup form: https://forms.gle/46Liu7bSQJKUpy31A

* Final project signup form: https://forms.gle/LrMprE4Spx3qJ6BY6

 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:30'''
* location: room 336 (LU, Raiņa bulv. 19)

 

=== Seminar materials ===

Seminar materials can be found in the GitHub repository:
* https://github.com/ValRCS/LU_PySem_2020_1

 

Last year's (Autumn 2019) repository:
* https://github.com/ValRCS/LU_PySem_2019

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = up to 7 points (out of 10)
** Project should be a Python program or notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = up to 4 points (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

=== Submit your project topic: ===

Final project topic sign-up form:
* https://forms.gle/LrMprE4Spx3qJ6BY6

=== Final project presentations ===

''Update: projects can also be presented on 15.01.2020 @ 10:30.''
* Location: room 444 (4th floor)

Project presentation 08.01.2020 @ 10:30. Location: Auditorium 12.
* You can also present during the last class (22.12.2019)

If a project is not presented on these dates the project grade will be decreased by up to 2 points.

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

== Grading ==

Grading will be based on your participation in the seminar (and its discussions) and your group project work.
* Participants will do a practical project using Python. Projects can be done in groups of two.

At the end of the course participants must fill out the course evaluation questionnaire in LUIS (this is a formal requirement for all courses).

LU-pysem

2020-04-03T09:43:26Z

CaptSolo:

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.

 

'''Update: all lectures will be in room 345.'''

 

'''Python seminar will continue in the next (Spring 2020) semester'''
* It will take place on Fridays @ 14:30 in room 345 (LU, Raiņa bulv. 19)
* First lecture: 07-Feb-2020
* '''everyone must join Slack and fill out seminar registration form'''

''You can also join if you did not participate in the Python seminar before.''

 

* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/enQtOTM2MDkxNzcwMDM4LWE2NmQ3MmMwMWUyZThjMDIyZDI2ODZhNmE0ZTBlMjhiOTA0NmI2YjNiNzg2YTIxZWMyNGYzMDcyMWM1ZTI5NWU link for joining Slack]
** https://pythonludf.slack.com

 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

* Presentation topic signup form: https://forms.gle/46Liu7bSQJKUpy31A

* Final project signup form: https://forms.gle/LrMprE4Spx3qJ6BY6

 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:30'''
* location: room 336 (LU, Raiņa bulv. 19)

 

=== Seminar materials ===

Seminar materials can be found in the GitHub repository:
* https://github.com/ValRCS/LU_PySem_2020_1

 

Last year's (Autumn 2019) repository:
* https://github.com/ValRCS/LU_PySem_2019

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = up to 7 points (out of 10)
** Project should be a Python program or notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = up to 4 points (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

Submit the project:
* https://forms.gle/kmgjsfeiqWn2KWfv6

=== Final project presentations ===

''Update: projects can also be presented on 15.01.2020 @ 10:30.''
* Location: room 444 (4th floor)

Project presentation 08.01.2020 @ 10:30. Location: Auditorium 12.
* You can also present during the last class (22.12.2019)

If a project is not presented on these dates the project grade will be decreased by up to 2 points.

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

== Grading ==

Grading will be based on your participation in the seminar (and its discussions) and your group project work.
* Participants will do a practical project using Python. Projects can be done in groups of two.

At the end of the course participants must fill out the course evaluation questionnaire in LUIS (this is a formal requirement for all courses).

LU-pysem

2020-03-20T15:48:06Z

CaptSolo: /* Course Requirements and Grading */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.

 

'''Update: all lectures will be in room 345.'''

 

'''Python seminar will continue in the next (Spring 2020) semester'''
* It will take place on Fridays @ 14:30 in room 345 (LU, Raiņa bulv. 19)
* First lecture: 07-Feb-2020
* '''everyone must join Slack and fill out seminar registration form'''

''You can also join if you did not participate in the Python seminar before.''

 

* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/enQtOTM2MDkxNzcwMDM4LWE2NmQ3MmMwMWUyZThjMDIyZDI2ODZhNmE0ZTBlMjhiOTA0NmI2YjNiNzg2YTIxZWMyNGYzMDcyMWM1ZTI5NWU link for joining Slack]
** https://pythonludf.slack.com

 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

* Presentation topic signup form: https://forms.gle/46Liu7bSQJKUpy31A



 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:30'''
* location: room 336 (LU, Raiņa bulv. 19)

 

=== Seminar materials ===

Seminar materials can be found in the GitHub repository:
* https://github.com/ValRCS/LU_PySem_2020_1

 

Last year's (Autumn 2019) repository:
* https://github.com/ValRCS/LU_PySem_2019

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = up to 7 points (out of 10)
** Project should be a Python program or notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = up to 4 points (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

Submit the project:
* https://forms.gle/kmgjsfeiqWn2KWfv6

=== Final project presentations ===

''Update: projects can also be presented on 15.01.2020 @ 10:30.''
* Location: room 444 (4th floor)

Project presentation 08.01.2020 @ 10:30. Location: Auditorium 12.
* You can also present during the last class (22.12.2019)

If a project is not presented on these dates the project grade will be decreased by up to 2 points.

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

== Grading ==

Grading will be based on your participation in the seminar (and its discussions) and your group project work.
* Participants will do a practical project using Python. Projects can be done in groups of two.

At the end of the course participants must fill out the course evaluation questionnaire in LUIS (this is a formal requirement for all courses).

LU-pysem

2020-02-14T10:44:14Z

CaptSolo: /* Seminar: Getting things done with Python */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.

 

'''Update: all lectures will be in room 345.'''

 

'''Python seminar will continue in the next (Spring 2020) semester'''
* It will take place on Fridays @ 14:30 in room 345 (LU, Raiņa bulv. 19)
* First lecture: 07-Feb-2020
* '''everyone must join Slack and fill out seminar registration form'''

''You can also join if you did not participate in the Python seminar before.''

 

* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/enQtOTM2MDkxNzcwMDM4LWE2NmQ3MmMwMWUyZThjMDIyZDI2ODZhNmE0ZTBlMjhiOTA0NmI2YjNiNzg2YTIxZWMyNGYzMDcyMWM1ZTI5NWU link for joining Slack]
** https://pythonludf.slack.com

 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

* Presentation topic signup form: https://forms.gle/46Liu7bSQJKUpy31A



 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:30'''
* location: room 336 (LU, Raiņa bulv. 19)

 

=== Seminar materials ===

Seminar materials can be found in the GitHub repository:
* https://github.com/ValRCS/LU_PySem_2020_1

 

Last year's (Autumn 2019) repository:
* https://github.com/ValRCS/LU_PySem_2019

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = 60% of course grade (mandatory)
** Project should be a Python program or notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = 40% of course grade (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

Submit the project:
* https://forms.gle/kmgjsfeiqWn2KWfv6

=== Final project presentations ===

''Update: projects can also be presented on 15.01.2020 @ 10:30.''
* Location: room 444 (4th floor)

Project presentation 08.01.2020 @ 10:30. Location: Auditorium 12.
* You can also present during the last class (22.12.2019)

If a project is not presented on these dates the project grade will be decreased by up to 2 points.

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

== Grading ==

Grading will be based on your participation in the seminar (and its discussions) and your group project work.
* Participants will do a practical project using Python. Projects can be done in groups of two.

At the end of the course participants must fill out the course evaluation questionnaire in LUIS (this is a formal requirement for all courses).

LU-pysem

2020-02-07T14:38:05Z

CaptSolo: /* Seminar: Getting things done with Python */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.

 

'''Update: the first two lectures (07.02 and 14.02) will be in another place: room 345.'''

 

'''Python seminar will continue in the next (Spring 2020) semester'''
* It will be in the usual place and time: Fridays @ 14:30 in room 336 (LU, Raiņa bulv. 19)
* First lecture: 07-Feb-2020
* '''everyone must join Slack and fill out seminar registration form'''

''You can also join if you did not participate in the Python seminar before.''

 

* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/enQtOTM2MDkxNzcwMDM4LWE2NmQ3MmMwMWUyZThjMDIyZDI2ODZhNmE0ZTBlMjhiOTA0NmI2YjNiNzg2YTIxZWMyNGYzMDcyMWM1ZTI5NWU link for joining Slack]
** https://pythonludf.slack.com

 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

* Presentation topic signup form: https://forms.gle/46Liu7bSQJKUpy31A



 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:30'''
* location: room 336 (LU, Raiņa bulv. 19)

 

=== Seminar materials ===

Seminar materials can be found in the GitHub repository:
* https://github.com/ValRCS/LU_PySem_2020_1

 

Last year's (Autumn 2019) repository:
* https://github.com/ValRCS/LU_PySem_2019

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = 60% of course grade (mandatory)
** Project should be a Python program or notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = 40% of course grade (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

Submit the project:
* https://forms.gle/kmgjsfeiqWn2KWfv6

=== Final project presentations ===

''Update: projects can also be presented on 15.01.2020 @ 10:30.''
* Location: room 444 (4th floor)

Project presentation 08.01.2020 @ 10:30. Location: Auditorium 12.
* You can also present during the last class (22.12.2019)

If a project is not presented on these dates the project grade will be decreased by up to 2 points.

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

== Grading ==

Grading will be based on your participation in the seminar (and its discussions) and your group project work.
* Participants will do a practical project using Python. Projects can be done in groups of two.

At the end of the course participants must fill out the course evaluation questionnaire in LUIS (this is a formal requirement for all courses).

LU-pysem

2020-02-07T13:45:44Z

CaptSolo: /* Seminar: Getting things done with Python */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.

 

'''Update: the first two lectures (07.02 and 14.02) will be in another place: room 345.'''

 

'''Python seminar will continue in the next (Spring 2020) semester'''
* It will be in the usual place and time: Fridays @ 14:30 in room 336 (LU, Raiņa bulv. 19)
* First lecture: 07-Feb-2020
* '''everyone must join Slack and fill out seminar registration form'''

''You can also join if you did not participate in the Python seminar before.''

 

* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/enQtOTM2MDkxNzcwMDM4LWE2NmQ3MmMwMWUyZThjMDIyZDI2ODZhNmE0ZTBlMjhiOTA0NmI2YjNiNzg2YTIxZWMyNGYzMDcyMWM1ZTI5NWU link for joining Slack]
** https://pythonludf.slack.com

 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

'''Useful links:'''


* Presentation topic signup form: https://forms.gle/eboGVK8HWVTUKgTJ9

 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:30'''
* location: room 336 (LU, Raiņa bulv. 19)

 

=== Seminar materials ===

Seminar materials can be found in the GitHub repository:
* https://github.com/ValRCS/LU_PySem_2020_1

 

Last year's (Autumn 2019) repository:
* https://github.com/ValRCS/LU_PySem_2019

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = 60% of course grade (mandatory)
** Project should be a Python program or notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = 40% of course grade (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

Submit the project:
* https://forms.gle/kmgjsfeiqWn2KWfv6

=== Final project presentations ===

''Update: projects can also be presented on 15.01.2020 @ 10:30.''
* Location: room 444 (4th floor)

Project presentation 08.01.2020 @ 10:30. Location: Auditorium 12.
* You can also present during the last class (22.12.2019)

If a project is not presented on these dates the project grade will be decreased by up to 2 points.

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

== Grading ==

Grading will be based on your participation in the seminar (and its discussions) and your group project work.
* Participants will do a practical project using Python. Projects can be done in groups of two.

At the end of the course participants must fill out the course evaluation questionnaire in LUIS (this is a formal requirement for all courses).

LU-pysem

2020-02-07T13:45:04Z

CaptSolo: /* Seminar: Getting things done with Python */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.

 

'''Update: the first two lectures (07.02 and 14.02) will be in another place: room 345.'''

 

'''Python seminar will continue in the next (Spring 2020) semester'''
* It will be in the usual place and time: Fridays @ 14:30 in room 336 (LU, Raiņa bulv. 19)
* First lecture: 07-Feb-2020
* '''everyone must join Slack and fill out seminar registration form'''

''You can also join if you did not participate in the Python seminar before.''

 

* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/enQtOTM2MDkxNzcwMDM4LWE2NmQ3MmMwMWUyZThjMDIyZDI2ODZhNmE0ZTBlMjhiOTA0NmI2YjNiNzg2YTIxZWMyNGYzMDcyMWM1ZTI5NWU link for joining Slack]
** https://pythonludf.slack.com

 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

Useful links:


* Presentation topic signup form: https://forms.gle/eboGVK8HWVTUKgTJ9

 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:30'''
* location: room 336 (LU, Raiņa bulv. 19)

 

=== Seminar materials ===

Seminar materials can be found in the GitHub repository:
* https://github.com/ValRCS/LU_PySem_2020_1

 

Last year's (Autumn 2019) repository:
* https://github.com/ValRCS/LU_PySem_2019

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = 60% of course grade (mandatory)
** Project should be a Python program or notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = 40% of course grade (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

Submit the project:
* https://forms.gle/kmgjsfeiqWn2KWfv6

=== Final project presentations ===

''Update: projects can also be presented on 15.01.2020 @ 10:30.''
* Location: room 444 (4th floor)

Project presentation 08.01.2020 @ 10:30. Location: Auditorium 12.
* You can also present during the last class (22.12.2019)

If a project is not presented on these dates the project grade will be decreased by up to 2 points.

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

== Grading ==

Grading will be based on your participation in the seminar (and its discussions) and your group project work.
* Participants will do a practical project using Python. Projects can be done in groups of two.

At the end of the course participants must fill out the course evaluation questionnaire in LUIS (this is a formal requirement for all courses).

LU-pysem

2020-02-07T10:13:43Z

CaptSolo: /* Course Requirements and Grading */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.

 

'''Update: the first two lectures (07.02 and 14.02) will be in another place: room 345.'''

 

'''Python seminar will continue in the next (Spring 2020) semester'''
* It will be in the usual place and time: Fridays @ 14:30 in room 336 (LU, Raiņa bulv. 19)
* First lecture: 07-Feb-2020
* '''everyone must join Slack and fill out seminar registration form'''

''You can also join if you did not participate in the Python seminar before.''

 

* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/enQtOTM2MDkxNzcwMDM4LWE2NmQ3MmMwMWUyZThjMDIyZDI2ODZhNmE0ZTBlMjhiOTA0NmI2YjNiNzg2YTIxZWMyNGYzMDcyMWM1ZTI5NWU link for joining Slack]
** https://pythonludf.slack.com

 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

Useful links:

* Project signup form: https://forms.gle/kmgjsfeiqWn2KWfv6
* Presentation topic signup form: https://forms.gle/eboGVK8HWVTUKgTJ9

 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:30'''
* location: room 336 (LU, Raiņa bulv. 19)

 

=== Seminar materials ===

Seminar materials can be found in the GitHub repository:
* https://github.com/ValRCS/LU_PySem_2020_1

 

Last year's (Autumn 2019) repository:
* https://github.com/ValRCS/LU_PySem_2019

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = 60% of course grade (mandatory)
** Project should be a Python program or notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = 40% of course grade (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Attend at least 50% of seminars'''

 

* '''Submitted course evaluation in LUIS''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

Submit the project:
* https://forms.gle/kmgjsfeiqWn2KWfv6

=== Final project presentations ===

''Update: projects can also be presented on 15.01.2020 @ 10:30.''
* Location: room 444 (4th floor)

Project presentation 08.01.2020 @ 10:30. Location: Auditorium 12.
* You can also present during the last class (22.12.2019)

If a project is not presented on these dates the project grade will be decreased by up to 2 points.

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

== Grading ==

Grading will be based on your participation in the seminar (and its discussions) and your group project work.
* Participants will do a practical project using Python. Projects can be done in groups of two.

At the end of the course participants must fill out the course evaluation questionnaire in LUIS (this is a formal requirement for all courses).

LU-pysem

2020-02-07T10:11:14Z

CaptSolo: /* Seminar materials */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.

 

'''Update: the first two lectures (07.02 and 14.02) will be in another place: room 345.'''

 

'''Python seminar will continue in the next (Spring 2020) semester'''
* It will be in the usual place and time: Fridays @ 14:30 in room 336 (LU, Raiņa bulv. 19)
* First lecture: 07-Feb-2020
* '''everyone must join Slack and fill out seminar registration form'''

''You can also join if you did not participate in the Python seminar before.''

 

* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/enQtOTM2MDkxNzcwMDM4LWE2NmQ3MmMwMWUyZThjMDIyZDI2ODZhNmE0ZTBlMjhiOTA0NmI2YjNiNzg2YTIxZWMyNGYzMDcyMWM1ZTI5NWU link for joining Slack]
** https://pythonludf.slack.com

 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

Useful links:

* Project signup form: https://forms.gle/kmgjsfeiqWn2KWfv6
* Presentation topic signup form: https://forms.gle/eboGVK8HWVTUKgTJ9

 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:30'''
* location: room 336 (LU, Raiņa bulv. 19)

 

=== Seminar materials ===

Seminar materials can be found in the GitHub repository:
* https://github.com/ValRCS/LU_PySem_2020_1

 

Last year's (Autumn 2019) repository:
* https://github.com/ValRCS/LU_PySem_2019

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = 60% of course grade (mandatory)
** Project should be a Python program or notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = 40% of course grade (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Submitted course evaluation''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

Submit the project:
* https://forms.gle/kmgjsfeiqWn2KWfv6

=== Final project presentations ===

''Update: projects can also be presented on 15.01.2020 @ 10:30.''
* Location: room 444 (4th floor)

Project presentation 08.01.2020 @ 10:30. Location: Auditorium 12.
* You can also present during the last class (22.12.2019)

If a project is not presented on these dates the project grade will be decreased by up to 2 points.

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

== Grading ==

Grading will be based on your participation in the seminar (and its discussions) and your group project work.
* Participants will do a practical project using Python. Projects can be done in groups of two.

At the end of the course participants must fill out the course evaluation questionnaire in LUIS (this is a formal requirement for all courses).

LU-pysem

2020-02-07T10:10:56Z

CaptSolo: /* Seminar materials */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.

 

'''Update: the first two lectures (07.02 and 14.02) will be in another place: room 345.'''

 

'''Python seminar will continue in the next (Spring 2020) semester'''
* It will be in the usual place and time: Fridays @ 14:30 in room 336 (LU, Raiņa bulv. 19)
* First lecture: 07-Feb-2020
* '''everyone must join Slack and fill out seminar registration form'''

''You can also join if you did not participate in the Python seminar before.''

 

* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/enQtOTM2MDkxNzcwMDM4LWE2NmQ3MmMwMWUyZThjMDIyZDI2ODZhNmE0ZTBlMjhiOTA0NmI2YjNiNzg2YTIxZWMyNGYzMDcyMWM1ZTI5NWU link for joining Slack]
** https://pythonludf.slack.com

 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

Useful links:

* Project signup form: https://forms.gle/kmgjsfeiqWn2KWfv6
* Presentation topic signup form: https://forms.gle/eboGVK8HWVTUKgTJ9

 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:30'''
* location: room 336 (LU, Raiņa bulv. 19)

 

=== Seminar materials ===

Seminar materials can be found in the GitHub repository:
* https://github.com/ValRCS/LU_PySem_2020_1

Last year's (Autumn 2019) repository:
* https://github.com/ValRCS/LU_PySem_2019

----

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = 60% of course grade (mandatory)
** Project should be a Python program or notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = 40% of course grade (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Submitted course evaluation''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

Submit the project:
* https://forms.gle/kmgjsfeiqWn2KWfv6

=== Final project presentations ===

''Update: projects can also be presented on 15.01.2020 @ 10:30.''
* Location: room 444 (4th floor)

Project presentation 08.01.2020 @ 10:30. Location: Auditorium 12.
* You can also present during the last class (22.12.2019)

If a project is not presented on these dates the project grade will be decreased by up to 2 points.

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

== Grading ==

Grading will be based on your participation in the seminar (and its discussions) and your group project work.
* Participants will do a practical project using Python. Projects can be done in groups of two.

At the end of the course participants must fill out the course evaluation questionnaire in LUIS (this is a formal requirement for all courses).

LU-pysem

2020-02-07T09:47:10Z

CaptSolo: /* Course Requirements and Grading */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.

 

'''Update: the first two lectures (07.02 and 14.02) will be in another place: room 345.'''

 

'''Python seminar will continue in the next (Spring 2020) semester'''
* It will be in the usual place and time: Fridays @ 14:30 in room 336 (LU, Raiņa bulv. 19)
* First lecture: 07-Feb-2020
* '''everyone must join Slack and fill out seminar registration form'''

''You can also join if you did not participate in the Python seminar before.''

 

* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/enQtOTM2MDkxNzcwMDM4LWE2NmQ3MmMwMWUyZThjMDIyZDI2ODZhNmE0ZTBlMjhiOTA0NmI2YjNiNzg2YTIxZWMyNGYzMDcyMWM1ZTI5NWU link for joining Slack]
** https://pythonludf.slack.com

 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

Useful links:

* Project signup form: https://forms.gle/kmgjsfeiqWn2KWfv6
* Presentation topic signup form: https://forms.gle/eboGVK8HWVTUKgTJ9

 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:30'''
* location: room 336 (LU, Raiņa bulv. 19)

 

=== Seminar materials ===

Seminar materials can be found in the GitHub repository:
* https://github.com/ValRCS/LU_PySem_2019

----

 

==Course Requirements and Grading==

* '''Course Project (in groups of 2-3 students or individually)''' = 60% of course grade (mandatory)
** Project should be a Python program or notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = 40% of course grade (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Submitted course evaluation''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

Submit the project:
* https://forms.gle/kmgjsfeiqWn2KWfv6

=== Final project presentations ===

''Update: projects can also be presented on 15.01.2020 @ 10:30.''
* Location: room 444 (4th floor)

Project presentation 08.01.2020 @ 10:30. Location: Auditorium 12.
* You can also present during the last class (22.12.2019)

If a project is not presented on these dates the project grade will be decreased by up to 2 points.

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

== Grading ==

Grading will be based on your participation in the seminar (and its discussions) and your group project work.
* Participants will do a practical project using Python. Projects can be done in groups of two.

At the end of the course participants must fill out the course evaluation questionnaire in LUIS (this is a formal requirement for all courses).

LU-pysem

2020-02-05T14:19:25Z

CaptSolo: /* Course Requirements and Grading */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.

 

'''Update: the first two lectures (07.02 and 14.02) will be in another place: room 345.'''

 

'''Python seminar will continue in the next (Spring 2020) semester'''
* It will be in the usual place and time: Fridays @ 14:30 in room 336 (LU, Raiņa bulv. 19)
* First lecture: 07-Feb-2020
* '''everyone must join Slack and fill out seminar registration form'''

''You can also join if you did not participate in the Python seminar before.''

 

* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/enQtOTM2MDkxNzcwMDM4LWE2NmQ3MmMwMWUyZThjMDIyZDI2ODZhNmE0ZTBlMjhiOTA0NmI2YjNiNzg2YTIxZWMyNGYzMDcyMWM1ZTI5NWU link for joining Slack]
** https://pythonludf.slack.com

 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

Useful links:

* Project signup form: https://forms.gle/kmgjsfeiqWn2KWfv6
* Presentation topic signup form: https://forms.gle/eboGVK8HWVTUKgTJ9

 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:30'''
* location: room 336 (LU, Raiņa bulv. 19)

 

=== Seminar materials ===

Seminar materials can be found in the GitHub repository:
* https://github.com/ValRCS/LU_PySem_2019

----

 

==Course Requirements and Grading==

* '''Group Project (2-3 students preferable)''' = 60% of course grade (mandatory)
** Project should be a Python program or notebook
** ''Scope: project theme examples will be discussed in lectures''

 

* '''Presentations and participation in class''' = 40% of course grade (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Submitted course evaluation''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

Submit the project:
* https://forms.gle/kmgjsfeiqWn2KWfv6

=== Final project presentations ===

''Update: projects can also be presented on 15.01.2020 @ 10:30.''
* Location: room 444 (4th floor)

Project presentation 08.01.2020 @ 10:30. Location: Auditorium 12.
* You can also present during the last class (22.12.2019)

If a project is not presented on these dates the project grade will be decreased by up to 2 points.

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

== Grading ==

Grading will be based on your participation in the seminar (and its discussions) and your group project work.
* Participants will do a practical project using Python. Projects can be done in groups of two.

At the end of the course participants must fill out the course evaluation questionnaire in LUIS (this is a formal requirement for all courses).

LU-pysem

2020-02-05T11:42:58Z

CaptSolo: /* Seminar: Getting things done with Python */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.

 

'''Update: the first two lectures (07.02 and 14.02) will be in another place: room 345.'''

 

'''Python seminar will continue in the next (Spring 2020) semester'''
* It will be in the usual place and time: Fridays @ 14:30 in room 336 (LU, Raiņa bulv. 19)
* First lecture: 07-Feb-2020
* '''everyone must join Slack and fill out seminar registration form'''

''You can also join if you did not participate in the Python seminar before.''

 

* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/enQtOTM2MDkxNzcwMDM4LWE2NmQ3MmMwMWUyZThjMDIyZDI2ODZhNmE0ZTBlMjhiOTA0NmI2YjNiNzg2YTIxZWMyNGYzMDcyMWM1ZTI5NWU link for joining Slack]
** https://pythonludf.slack.com

 

'''Important links:'''
* this page: http://selavo.lv/pysem
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

Useful links:

* Project signup form: https://forms.gle/kmgjsfeiqWn2KWfv6
* Presentation topic signup form: https://forms.gle/eboGVK8HWVTUKgTJ9

 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:30'''
* location: room 336 (LU, Raiņa bulv. 19)

 

=== Seminar materials ===

Seminar materials can be found in the GitHub repository:
* https://github.com/ValRCS/LU_PySem_2019

----

 

==Course Requirements and Grading==

* '''Group Project (2-3 students preferable)''' = 60% of course grade (mandatory)
** Project should be a Python program or notebook
** ''Scope: see examples shown in Sep. 20 lecture for awesome final projects''

 

* '''Presentations and participation in class''' = 40% of course grade (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Submitted course evaluation''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

Submit the project:
* https://forms.gle/kmgjsfeiqWn2KWfv6

=== Final project presentations ===

''Update: projects can also be presented on 15.01.2020 @ 10:30.''
* Location: room 444 (4th floor)

Project presentation 08.01.2020 @ 10:30. Location: Auditorium 12.
* You can also present during the last class (22.12.2019)

If a project is not presented on these dates the project grade will be decreased by up to 2 points.

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

== Grading ==

Grading will be based on your participation in the seminar (and its discussions) and your group project work.
* Participants will do a practical project using Python. Projects can be done in groups of two.

At the end of the course participants must fill out the course evaluation questionnaire in LUIS (this is a formal requirement for all courses).

LU-pysem

2020-02-05T11:41:59Z

CaptSolo: /* Seminar: Getting things done with Python */

{{TocRight}}
= Seminar: Getting things done with Python =

In this seminar you will learn about the Python programming language, its libraries and frameworks.

The goal of the seminar is to give participants an insight into Python programming language and what can be done with it (including how it is used in practice). You will also learn how to use Python for data analysis and visualization.

Specseminārā tiks iepazīta Python programmēšanas valoda kā arī tās bibliotēkas un ietvari. Semināra mērķis ir dot ieskatu gan valodā, tās iespējās, gan plašajā pielietojumu lokā. Seminārā Python tiks lietots dažādu datu apstrādei un vizualizācijai.

 

'''Update: the first two lectures (07.02 and 14.02) will be in another place: room 345.'''

 

'''Python seminar will continue in the next (Spring 2020) semester'''
* It will be in the usual place and time: Fridays @ 14:30 in room 336 (LU, Raiņa bulv. 19)
* First lecture: 07-Feb-2020
* '''everyone must join Slack and fill out seminar registration form'''

''You can also join if you did not participate in the Python seminar before.''

 

* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/enQtOTM2MDkxNzcwMDM4LWE2NmQ3MmMwMWUyZThjMDIyZDI2ODZhNmE0ZTBlMjhiOTA0NmI2YjNiNzg2YTIxZWMyNGYzMDcyMWM1ZTI5NWU link for joining Slack]
** https://pythonludf.slack.com

 

'''Important links:'''
* this page: http://selavo.lv/pysem
* course registration form (Spring 2020): https://forms.gle/1kNph9X7LkhCdffA6
* [https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]

 

Useful links:

* Project signup form: https://forms.gle/kmgjsfeiqWn2KWfv6
* Presentation topic signup form: https://forms.gle/eboGVK8HWVTUKgTJ9

 

==Information and Resources==

 

'''Seminar takes place on Fridays @ 14:30'''
* location: room 336 (LU, Raiņa bulv. 19)

 

=== Seminar materials ===

Seminar materials can be found in the GitHub repository:
* https://github.com/ValRCS/LU_PySem_2019

----

 

==Course Requirements and Grading==

* '''Group Project (2-3 students preferable)''' = 60% of course grade (mandatory)
** Project should be a Python program or notebook
** ''Scope: see examples shown in Sep. 20 lecture for awesome final projects''

 

* '''Presentations and participation in class''' = 40% of course grade (optional)
** Presentation on a cool Python library or project = 1..3 points
*** 3 points = long and serious presentation (30 min)
*** 2 points = medium presentation (10-15 min)
*** 1 point = short presentation
** Participation in class = 1 point
*** ... or/and Python exercises solved on Project Euler, www.codewars.com, other exercise sites

 

* '''Submitted course evaluation''' (mandatory)

 

''Note: sign up for presentations ahead of time''

==Course Project==

During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* projects can be developed in teams of 2-3 people or individually.

Possible project topics:
* process, analyze, and/or visualize one or more datasets
* develop a simple game
* web or desktop application
* ... other ideas ...

Data sets can come from a variety of sources, such as kaggle.com, data.gov.lv, or faculty.

All processing and visualization will have to be done in the Python programming language with the appropriate Pyhon libraries.
* you can use libraries covered in the course or/and from outside the course.

Other topics may also be selected with prior agreement with the faculty.

Submit the project:
* https://forms.gle/kmgjsfeiqWn2KWfv6

=== Final project presentations ===

''Update: projects can also be presented on 15.01.2020 @ 10:30.''
* Location: room 444 (4th floor)

Project presentation 08.01.2020 @ 10:30. Location: Auditorium 12.
* You can also present during the last class (22.12.2019)

If a project is not presented on these dates the project grade will be decreased by up to 2 points.

 

'''Project presentation = 5-10 min. presentation consisting of:'''

* Introduction (what the work is about)
* Project realization (what was programmed, what software was used)
* Demonstrations of results

You have to show what the project has done in practice = show code and results.

 

'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

* project description (including a list of group members + info about the role of each participant)
* developed source code (or its URL at Github, Gitlab etc)
* work results (e.g. Jupyter notebook)

==Why Python?==
* Python is easy to use and effective.
* Its code is easy to read and write.
* Python is a flexible language that can support many programming paradigms.
* Suitable for beginners and professionals alike.
* Popular and well-supported.
* Used by large and small companies and organizations worldwide.
* Used in many courses and workshops.

== Contents ==
The seminar consists of two parts:
* Introduction to the Python programming language (What is Python)
** Assumption: participants know the basics of programming and, preferably, already know other programming languages
* Practical applications of Python, with examples (Getting things done with Python)
** Tools, libraries, frameworks ("batteries included")
*** [https://jupyter-notebook.readthedocs.io/en/stable/notebook.html Jupyter notebook], IPython environment
*** [https://www.anaconda.com/download/ Anaconda Python distribution]
*** Libraries: NumPy, SciPy, Pandas, Matplotlib, Flask, ...

== Organizers ==

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* ...

== Grading ==

Grading will be based on your participation in the seminar (and its discussions) and your group project work.
* Participants will do a practical project using Python. Projects can be done in groups of two.

At the end of the course participants must fill out the course evaluation questionnaire in LUIS (this is a formal requirement for all courses).