Scientific Programming Lecture Material
A word of warning: you NEED to practice in between the lectures. Otherwise you will get lost.
All lecture material is provided as jupyter notebooks. You can directly view it here within GitHub, but can also clone them and play around with them. Any feedback and corrections are welcome as pull requests.
This lecture material is supposed to serve a lecture at the Department of Geography, University of Munich. However all other contributors are welcome as well.