The slides shown here have been used for talks given to scientists in informal contexts.
Python is introduced as a valuable tool for both producing and evaluating data.
The talk is essentially a guided tour of the author's favourite parts of the Python ecosystem. Besides the Python language itself, NumPy and SciPy as well as Matplotlib are mentioned.
A last part of the talk concerns itself with code execution speed. With this problem in sight, Cython and f2py are introduced as means of glueing different languages together and speeding Python up.
The source code for the slides, code snippets and further links are available in a git repository at
Clipping is a handy way to collect important slides you want to go back to later.