Scientific Programming in Python (2024)

Note

The course materials Scientific Programming in Python (2024), with exception of the YouTube videos, are licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.

0 – Setting up the working environment

• Installing Conda and JupyterLab on Linux: tutorial slides

• Installing Conda and JupyterLab on Windows: tutorial slides

• First steps with JupyterLab: tutorial slides

1 – Python basics

• About Python (a 3 minutes motivation): video tutorial, tutorial slides

• Basic (scalar) data types: video tutorial, tutorial slides, cheat sheet

• Control structures: video tutorial, tutorial slides, cheat sheet

• Exercises: exercises

2 – Tuples and lists

• Tuples and lists: video tutorial, tutorial slides, cheat sheet

• Functions in a nutshell: video tutorial, tutorial slides, cheat sheet

• Exercises: exercises

3 – Sets and dictionaries

• Sets and dictionaries: video tutorial, tutorial slides, cheat sheet

• String methods (a minimal selection) video tutorial, tutorial slides, cheat sheet

• Exercises: exercises

4 – Functions and arrays

• Functions: video tutorial, tutorial slides, cheat sheet

• Arrays video tutorial, tutorial slides, cheat sheet

• Exercises: exercises

5 – File I/O and plotting

• File I/O: video tutorial, tutorial slides, cheat sheet

• Plotting video tutorial, tutorial slides, cheat sheet

• Exercises: exercises, exercises data

6 – Git basics and Python modules

• Setting up Git and Visual Studio Code: tutorial slides

• Git basics: video tutorial, tutorial slides, cheat sheet

• Python Modules: video tutorial, tutorial slides

• Exercises: exercises, project files (Linux/MacOS), project files (Windows)

7 – Further Git features

• Further Git features: video tutorial tutorial slides, cheat sheet

• Exercises: exercises

8 – Unit testing and code quality analysis

• Unit testing: video tutorial tutorial slides, cheat sheet

• Code quality analysis: video tutorial tutorial slides

• Exercises: exercises

9 – Exceptions and API-documentation

• Exceptions: video tutorial tutorial slides, cheat sheet

• API-documentation via Sphinx: video tutorial tutorial slides

• Exercises: exercises

10 – Parallel and collaborative development with Git

• Git branches: video tutorial tutorial slides

• Collaborative development via Git: video tutorial tutorial slides

• Remotely hosted Git-repositories video tutorial tutorial slides

• Cheat sheet Complete Git cheat sheet

• Exercises: exercises

11 – Command line arguments, packaging and distribution

• Command line arguments: video tutorial tutorial slides

• Python packages: video tutorial tutorial slides

• Packaging and distribution video tutorial tutorial slides

• Exercises: exercises