Introduction to Python for Computational Science, Hans Fangohr, Max Planck Institute for the Structure and Dynamics of Matter & University of Southampton

Support material used in this course

Slides - as used in lectures (may be updated without notice at any time)
Textbook - background reading for this module
Snippets: files that have been developed during lectures
Installation of Python on your own machine
Notes on Spyder and Recommended steps for beginners
Introduction to IPython Notebook (html, ipynb)
- More details about the IPython Notebook (html, ipynb)
Introduction and brief reference for Matplotlib (html, ipynb)
Introduction to Pandas (html, ipynb)
Introduction to Testing (html, ipynb)
Python Style Guide (PEP8)
Python Docstring Guide (PEP257)
Black
pytest
First steps using the Python debugger (pdb)
Official Jupyter Notebook documentation
tutor magic . Mini summary: pip install tutormagic; in Notebook %load_ext tutormagic and then %%tutor followed by python code.

Other lecture courses and tutorials

Learn Python with Socratia - Short video summaries of important Python features
Official Python Tutorial
MIT Course Introduction to Computer Science and Programming (providing videos and podcasts, thorough introduction to Python from computer science point of view).
Another Lecture course for Scientific Python
Another Python Course

Additional materials about use of Python

Talk on how YouTube is built around Python
Why floating point number representation usually works, but not always: Floating point numbers are a leaky abstraction
Google Python Style Guide