• Official Website
• Structure & Concept
• Project ideas

• git - the simple guide
• git cheat sheet
• workflow cheat sheet

• NumPy tutorial: Especially outstanding is the explanation of slicing and broadcasting in the appendix.

• NumPy for MATLAB users

We prepared a lot of material in the notebook folder. The files there are IPython Notebooks (somewhat like wiki pages where code can be executed interactively). After cloning the repository, you can run them locally on your computer. On Linux run ipython notebook to start the server, on the CIP-Pool you'll find the notebook server under Start -> Anaconda -> Launcher.

• Python Introduction.ipynb
• List Comprehensions.ipynb

• Python OOP.ipynb
• Python-Unittest.ipynb
• Profiling with IPython.ipynb
• Parallelization and Caching.ipynb

• NumPy Introduction.ipynb
• Linear Regression.ipynb
• PCA and Eigenfaces.ipynb