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.


<!-- &nbsp;
This page: http://selavo.lv/pysem


'''Python seminar will continue in the next (Spring 2020) semester'''
[https://docs.google.com/presentation/d/1yxaR_ZL3K6Z0QtOQM2dkQKXFEKGXldfy_4xsHkHWP3w/edit?usp=sharing Introduction slides (English)]
* 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.'' -->


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'''Important links:'''
----
* this page: http://selavo.lv/pysem
* [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:'''
* 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)


&nbsp;

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

&nbsp;

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

&nbsp;

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

<!-- &nbsp;

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


* Final project signup form: https://forms.gle/LrMprE4Spx3qJ6BY6
Sign-up form (fill it out if you want to register for the seminar): http://bit.ly/py-df-2019-register
-->


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'''Seminar takes place on Fridays @ 14:30'''
'''Seminar takes place on Fridays @ 14:45'''
* location: room 336 (LU, Raiņa bulv. 19)
* location: room 336 (LU, Raiņa bulv. 19)
* first seminar: 11-Sept-2020


&nbsp;
&nbsp;


Slack channel:
----

'''Discussion space:'''
* join the Slack channel (invite link): http://bit.ly/py-df-2019
** '''all participants should join seminar's Slack channel'''
** the link (for joining) is valid until 04-Oct-2019. if it does not work, please ask the organizers.
* https://pythonludf.slack.com
* https://pythonludf.slack.com


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=== Seminar materials ===
=== Seminar materials ===


''Seminar materials (slides, ...) will be placed on Github and links will be added here.''
Seminar materials will be published in the GitHub repository:
* https://github.com/ValRCS/ValRCS-LU_PySem_2020_2


&nbsp;
GitHub repository:
* https://github.com/ValRCS/LU_PySem_2019


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


&nbsp;
&nbsp;

=== Presentations ===

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

&nbsp;

==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''

&nbsp;

* '''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

&nbsp;

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

&nbsp;

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

&nbsp;

''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?==
==Why Python?==
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Experts who might present guest lectures at the seminar:
Experts who might present guest lectures at the seminar:


* 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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