This repository gathers some lecture notes on the scientific Python ecosystem that can be used for a full course of scientific computing with Python.
These documents are written with the rest markup language (
extension) and built using Sphinx.
You can view the online version at: https://scipy-lectures.org
Reusing and distributing
As stated in the
LICENSE.txt file, this material comes with no strings
attached. Feel free to reuse and modify for your own teaching purposes.
However, we would like this reference material to be improved over time, thus we encourage people to contribute back changes. These will be reviewed and edited by the original authors and the editors.
Building and contributing
CONTRIBUTING.rst contains instructions to build from source
and to contribute.