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Python lectures
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`YouTube playlist for 2023 round <https://www.youtube.com/playlist?list=PLgLiRoLGqjOiNVW08NJmcUYedk4OEIF0u>`_

`YouTube playlist for 2022 round <https://www.youtube.com/playlist?list=PLgLiRoLGqjOjT7KExlcPEULqMOwdqCRZt>`_

Notebooks for the lectures:

`Introduction to Python <https://colab.research.google.com/drive/11lGeQcQYQyp5I0njfailwpwV-Zs-gkRP?usp=sharing>`_

`Introduction to Numpy <https://colab.research.google.com/drive/1MNGbYDxLn_djt2gjn0BqYUT2llWmytWh?usp=sharing>`_

`Python built-in functions <https://colab.research.google.com/drive/1njCv9sxn5y75DJyjVfIHJFr-sNXUL0gB?usp=sharing>`_ 

`Object-oriented programming <https://colab.research.google.com/drive/1WdA_4pA8anBGtGlM2OP3vmozLtI02IQU?usp=sharing>`_ 

`Introduction to Matplotlib <https://colab.research.google.com/drive/1PK8d-hfU5ameSTW2RzyttD0ww4wXFAI-?usp=sharing>`_

`Visualisation with PyVTK <https://colab.research.google.com/drive/17USVTWfRlaRYtJq3wRI5q0Bry0xTDH_2?usp=sharing>`_

Python source code for the lectures:

`Course github repo <https://github.com/jonaslindemann/compute-course-public>`_

`Course source in zip-file <https://github.com/jonaslindemann/compute-course-public/archive/refs/heads/master.zip>`_