PhD Python Course

Course Format

I am responsible for the PhD course about Python, which is part of the mandatory "Introduction to research in embedded and intelligent systems" (FOIT002)... it used to be called "Advanced Python Programming" and I believe the current official name is "Embedded Intelligent Systems Languages and Tools".

This is a reminder and a "call for presentations" email. If you want to prepare a presentation for the course, let me know :)

This course is very application-driven (the goal is to make it easier for students to use Python as a tool) and also participant-driven (since I do not necessarily know what specific topics are useful for you). The focus is on exploring available tools and libraries, and on figuring out how to make best use out of them.

To this end, the course consists of presentations by students -- each about two hours total, with the first half being a lecture/presentation, and the second half being some form of hands-on exercise/demo. The topic can be anything related to programming tools... preferably Python, but not necessarily -- for example, we have had presentations about R before.

You can also check the course webpage on the wiki, with past presentations: https://wiki.hh.se/caisr/index.php/Python_Course

In order to get credits for the course, you will need to do one such presentation, and attend most of presentations by other students (at least three).

Also, if you know of somebody who is interested in the course but didn't get this email, let me know (and/or subscribe them to the mailing list)

-- Slawomir

Recent Presentations

• Kevin Hernandez Diaz (2024-02-12):
• Anna Vettoruzzo (2023-11-23): PyCaret Presentation
• Abu Mohammed Raisuddin (2023-10-19): Advanced git
• Felix Rosberg (2023-09-21): Gradio
• Talha Hanif Butt (2023-05-26): Presentation and Notebooks
• Quentin Delooz (2023-01-10): manim library
• Pablo Del Moral (2022-09-29): R language
• Sina Entekhabi (2022-09-06) Z3
• Kunru Chen (2022-04-20) Keras
• Awais Ashfaq (2022-04-07)
• Ece Calikus (2022-03-30)
• Rebeen on PyTorch (2021-11-11): Presentation and Tutorial
• Nesma on TensorFlow: presentation and examples

Presentations from years ago

• 2021-01-12 Gensim (presented by Alexander) Media:Gensim presentation and code.zip
• 2020-04-26 Visualisation using bokeh (presented by Sundas) Media:Vista_Bokeh.pptx
• NumPy and SciPy (presented by Wagner) File:Python course (scipy and numpy) (Wagner).zip
• Scikit (presented by Jens) File:Presentation v3 final.pdf
• Matplotlib (presented by Saeed) File:Matplotlib pres.zip
• OpenCV (presented by Anna) File:OpenCV by Anna.zip
• Interactive Python (presented by Saeed) File:GUI by saeed.zip
• Optimization (presented by Mahboobeh) File:Optimization by mahboobeh.zip
• Parallel Programming (presented by Süleyman) File:Parallel by Süleyman.zip
• What else? (Maybe Simpy? Pygame? Cython? PIL? PySerial? ...)

Introduction

Books (those are quite a bit dated, I am sure there are newer ones out there, but I don't know them):

• http://www.diveintopython.net/ - quite good
• http://learnpythonthehardway.org/book/ - seems good, even if a little basic (but I have not read it)

IDE:

• IDLE: http://www.ai.uga.edu/mc/idle/index.html
• Wing IDE: http://www.wingware.com/
• Eric: http://eric-ide.python-projects.org/
• codeblocks: http://www.codeblocks.org/
• Eclipse & PyDev plugin: http://pydev.org/
• pyscripter: http://code.google.com/p/pyscripter/
• also, http://bit.ly/tgMCbD

Official:

• Download: http://www.python.org/
• Documentation: http://docs.python.org/
• Tutorial: http://docs.python.org/3/tutorial/index.html
• Library Reference: http://docs.python.org/3/library/index.html

Things to start with

• pip: https://docs.python.org/3/installing/

Essential libraries:

• numpy / scipy
• matplotlib

2015.12.04

Things I have talked about today (non-obvious and important stuff in bold):

• Hello, world!
• list / dictionary / string / number / tuple / set
• functions
  • default arguments, keyword arguments, variable argument lists
  • anonymous functions / lambda
• exceptions
• if / for / while / else / break / continue
  • else also works for loops
• variables & assignment
  • pass-by-reference semantics
  • difference between = and ==
• generators / iterators
• list comprehension / generator comprehension / dictionary comprehension
• string formatting
• modules / import / import as / import from
• classes
  • special methods: __init__ / __str__ / __eq__ / __call__ / ...
  • descriptors
• advanced ideas
  • decorators
  • metaclasses

Modules in standard library you should definitely know about:

• sqlite3
• collections (especially defaultdict)
• re
• datetime
• threading / multiprocessing / Queue
• random
• itertools / functools
• os / sys / shutil / os.path
• pickle
• md5
• subprocess
• socket
• urllib / httplib / email / cgi / urlparse / cookielib
• pdb (especially pm)
• win32api / win32gui

Additional

Advanced stuff:

• http://lanyrd.com/2011/europython/sftym/

Fun:

• http://www.pythonchallenge.com/