**The current course takes place
April 3-5 + 13-14**
in the CIP pool at Philosopenweg 12.

**Registration**
at
this address

This lecture is to a large part based on the lecture by
**Thomas Robitaille**.

Below you can find the text and the jupyter **notebooks**
that are used for **this lecture**.

Additions to the original lecture material
were made by **Markus Demleitner**,
**Markus Hundertmark** and myself.

Day 1:

- 00. About the course [notebook]
- 01. What is Python [notebook]
- 02. Using the jupyter notebook [notebook]
- 03. Numbers, String, and Lists [notebook]
- 04. Booleans, Tuples, and, Dictionaries [notebook]
- 05. Control Flow [notebook]
- Practice Problem - Cryptography [notebook]

- 06. Functions [notebook]
- 07. Reading and writing files [notebook]
- 08. Modules and Variable Scope [notebook]
- Practice Problem - Temperatures [notebook]
- Problem set 1 [notebook]

- 09. Introduction to Numpy [notebook]
- 10. Introduction to Matplotlib [notebook]
- 11. Files and paths [notebook]
- 12. String Formatting [notebook]
- Practice Problem - Monte-Carlo Error Propagation [notebook]
- Problem set 2 [notebook]

- 13. Python variables - behind the scenes [notebook]
- 14. Fitting models to data [notebook]
- 15. Interpolation and Integration [notebook]
- 16. Understanding Python errors [notebook]
- Practice Problem - Radioactive Decay [notebook]
- Problem set 3 [notebook]

- 17. Accessing remote resources [notebook]
- 18. Object-oriented programming [notebook]
- 19. List comprehension [notebook]

edited: Robert Schmidt (5-2023)