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Introduction to (scientific) python

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Binder with CERN's ROOT (see https://anaconda.org/conda-forge/root and https://root.cern.ch):

Binder

Binder without CERN's ROOT (to speed up the build):

Binder

Binder without CERN's ROOT but with working latex distribution:

Binder

Introduction to scientific python for people living in confinement (and maybe also other people)

This repository is a very close copy of https://github.com/MaxNoe/scientific_python_notebooks so all praise go to @MaxNoe who himself cites:

""" The material mostly comes from the

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

For an introduction to machine learning in python, see
https://github.com/kbruegge/machine-learning-lecture
and our Tutorial @ DPG Frühjahrstagung Aachen 2019:
https://github.com/tudo-astroparticlephysics/dpg2019-ml-tutorial

"""

Most of the modifications for the first commit of this repository were done by @Broko55 so some praise to him as well.

License

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.

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A repository first used to give an introduction to python during the Covid-19 confinement.

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