You’ve now learned the basics of functional programming, and how to write parallel Python scripts that can run across the cores of your desktop, or across the processors of a distributed or HPC cluster.
If you want to learn more then take a look at the documentation for the in-built Python modules multiprocessing and concurrent.futures.
The MPI4Py documentation will give you a lot of detail on making more advanced parallel Python programs.
This course was originally written by Christopher Woods and published at https://chryswoods.com/parallel_python/. Some changes were made by the ACRC at the Unviersity of Bristol. The course was revised by Matt Williams.
All text is published under a Creative Commons Attribution 4.0 International License with all code snippets licensed as MIT.
The source for the material can be found on GitLab where fixes are welcome.