Introduction to scientific python.

The material mostly comes from the

• PeP et al. Toolbox Workshop
• A workshop for Astronomers and Particle Physicists at IFAE and ICE
• The Second Asterics-Obelics School 2018
• The Third Asterics-Obelics School 2019
• Python Workshop GRK Uni Freiburg 2019
• Escape Data Science School 2021
• Escape Data Science School 2022

And was put together and presented by @kbruegge and me.

For the statistics and machine learning lecture I teach, see
https://github.com/tudo-astroparticlephysics/machine-learning-lecture

@kbruegge and me also gave a machine learning tutorial @ DPG Frühjahrstagung Aachen 2019:
https://github.com/tudo-astroparticlephysics/dpg2019-ml-tutorial

The code examples in this material are shared under the GnuGPLv3 license. The lecture material (e.g. jupyter notebooks) are shared under the Creative Commons Attribution-NonCommercial License: https://creativecommons.org/licenses/by-nc/4.0/legalcode.txt, so they cannot be used for commercial training / tutorials / lectures.