Teaching

• Introduction to numerical and statistical methods for physics students. 
• Lecture with hands-on sessions using Jupyter notebooks.
• Course material available on Moodle.

Numerical Python in Astronomy and Astrophysics: A practical guide to astrophysical problem solving by Wolfram Schmidt (University of Hamburg) and Marcel Völschow (HAW Hamburg) published in Undergraduate Lecture Notes in Physics by Springer Nature. Available as eBook and printed book.

If you have any feedback or want to report errors, send us a mail to python-book"AT"hs.uni-hamburg.de.

Online Resources

Jupyter notebooks, Python source code, and data files for book chapters can be downloaded as zip archives:

• Chapter 1: Python Basics
• Chapter 2: Computing and Displaying Data
• Chapter 3: Functions and Numerical Methods
• Chapter 4: Solving Differential Equations
• Chapter 5: Astronomical Data Analysis
• Appendix A: Object-Oriented Programming in a Nutshell
• Appendix B: Making Python Faster