Resources
Above all else, it is important for this course that you have internet access during the lectures. We will conduct many examples and exercises that refer to online resources.
Within the university, the Eduroam networks can be used. You can find the necessary profile data here.
Furthermore, there are many other well-structured resources about Python available online. Below you will find only a very small selection.
Molecular Nanophotonics Group
Additional Advanced Courses
- Rosenow Group (Theory), Master Course on Statistical Mechanics of Deep Learning
Python Documentation
Python Tutorials
Further Reading
- Python Official Documentation on Functions
- Real Python: Python Loops and Iterators
- Python Conditional Statements
For interactive practice: