This seminar has been designed to provide materials for a 3-session Python seminar. It consists of several Python scripts and Jupyter notebooks with self-contained solutions, designed for every participant to proceed at their own pace.
The participant is expected to have a basic experience of programming languages, if possible with Python, and a decent scientific background with a good understanding of common algorithmic and programming design challenges.
After the seminar, the participant should be able to:
Participants are considered consenting adults. Enough material is provided to get proficient quickly and ask questions when needed. Obviously, the more assiduous you are, the better, and learning practices best suiting you are in your hands. In particular, it is perfectly acceptable:
Be sure to set up your environment before coming to class.
|🏠||Setting up your environment|
|Managing Python dependencies|
|1||Basic types and arithmetic|
|Advanced data structures (optional)|
|Numpy and Matplotlib|
|Introduction to Pandas|
|Grammar of graphics with Altair (optional)|
|Iteration with Pandas|
|3||Object-oriented programming and protocols with Pandas|
|Solving puzzles (optional)|
|Asynchronous programming (optional)|
Some of the materials offered here is directly taken from the book
Programmation Python avancée.
The book (in French) is neither required nor really necessary for the seminar; it however brings a lot of advanced complementary materials for the curious reader.