Difference between revisions of "LU-pysem"

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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.
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.


 
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'''Update: Python seminar will continue in the next (Spring 2020) semester'''
'''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)
* It will take place on Fridays @ 14:30 in room 345 (LU, Raiņa bulv. 19)
** ''the first two lectures will be in another place: room 345''
* First lecture: 07-Feb-2020
* First lecture: 07-Feb-2020
* '''everyone must join Slack and fill out seminar registration form'''
* Slack channel (discussion space): [https://join.slack.com/t/pythonludf/shared_invite/enQtOTM2MDkxNzcwMDM4LWE2NmQ3MmMwMWUyZThjMDIyZDI2ODZhNmE0ZTBlMjhiOTA0NmI2YjNiNzg2YTIxZWMyNGYzMDcyMWM1ZTI5NWU link for joining Slack]
** everyone must join Slack
** https://pythonludf.slack.com


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


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



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'''Exams (presentation of the course project) will take place:'''
Useful links:
* 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)


* Project signup form: https://forms.gle/kmgjsfeiqWn2KWfv6
* Presentation topic signup form: https://forms.gle/eboGVK8HWVTUKgTJ9


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Presentation sign-up form:
==Information and Resources==
* https://forms.gle/joPBuJWeo4os5MXr6


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<!-- Course registration form (Autumn 2020): https://forms.gle/FBGsJiS6CxA8eQZu5
'''Seminar takes place on Fridays @ 14:30'''
* location: room 336 (LU, Raiņa bulv. 19)


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


<!-- &nbsp;
Seminar materials can be found in the GitHub repository:
* https://github.com/ValRCS/LU_PySem_2019


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

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


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==Course Requirements and Grading==
==Information and Resources==

* '''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''


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'''Seminar takes place on Fridays @ 14:45'''
* '''Presentations and participation in class''' = 40% of course grade (optional)
* location: room 336 (LU, Raiņa bulv. 19)
** Presentation on a cool Python library or project = 1..3 points
* first seminar: 11-Sept-2020
*** 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


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


Slack channel:
* '''Submitted course evaluation''' (mandatory)
* https://pythonludf.slack.com


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=== Seminar materials ===
==Course Project==


Seminar materials will be published in the GitHub repository:
During the course, students are required to complete a project that accomplishes a non-trivial programming / data processing task using Python tools.
* https://github.com/ValRCS/ValRCS-LU_PySem_2020_2
* projects can be developed in teams of 2-3 people or individually.


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Last years' repositories:
Possible project topics:
* (Spring 2020) https://github.com/ValRCS/LU_PySem_2020_1
* process, analyze, and/or visualize one or more datasets
* (Autumn 2019) https://github.com/ValRCS/LU_PySem_2019
* develop a simple game
* web or desktop application
* ... other ideas ...


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


=== Presentations ===
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.


Presentation sign-up form:
Other topics may also be selected with prior agreement with the faculty.
* https://forms.gle/joPBuJWeo4os5MXr6


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


==Course Requirements and Grading==
=== Final project presentations ===


* '''Course Project (in groups of 2-3 students or individually)''' = up to 7 points (out of 10)
''Update: projects can also be presented on 15.01.2020 @ 10:30.''
** Project should be a Python program or a Jupyter notebook
* Location: room 444 (4th floor)
** ''Scope: project theme examples will be discussed in lectures''


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


* '''Presentations and participation in class''' = up to 4 points
If a project is not presented on these dates the project grade will be decreased by up to 2 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


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* '''Attend at least 50% of seminars'''
'''Project presentation = 5-10 min. presentation consisting of:'''


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


* '''Submitted course evaluation in LUIS''' (mandatory)
You have to show what the project has done in practice = show code and results.


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''Note: sign up for presentations ahead of time''
'''Each group should send an email to uldis.bojars(at)lu.lv''' (with text "Python seminar" in the subject line) '''containing:'''

==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]]
* 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?==
==Why Python?==
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* [[User:Leo | Leo Seļāvo]] (LU DF)
* [[User:Leo | Leo Seļāvo]] (LU DF)
* Jānis Zuters (LU DF, par mašīnmācīšanos)
* Jānis Zuters (LU DF, on machine learning)
* Normunds Gruzītis (LU MII, par NLP)
* Pēteris Paikens (LU MII)
* 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).

Latest revision as of 15:55, 2 December 2020

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:

 

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:

 


 

Information and Resources

 

Seminar takes place on Fridays @ 14:45

  • location: room 336 (LU, Raiņa bulv. 19)
  • first seminar: 11-Sept-2020

 

Slack channel:

 

Seminar materials

Seminar materials will be published in the GitHub repository:

 

Last years' repositories:

 

Presentations

Presentation sign-up form:

 

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: 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)

Organizers

This seminar is lead by Uldis Bojārs and Valdis Saulespurēns.

Experts who might present guest lectures at the seminar:

  • Leo Seļāvo (LU DF)
  • Jānis Zuters (LU DF, on machine learning)
  • Pēteris Paikens (LU MII)
  • ...
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