Scientific Python QuickStart¶

This is a short sequence of lectures on Python programming for scientific work, written by Thomas J. Sargent and John Stachurski.

Note

These lectures were built using the new Sphinx-based Jupyter Book 2.0 tool set, as part of the ExecutableBookProject. They are intended mainly as a demonstration of these tools. Instructions for how to build them from source can be found in the Jupyter Book documentation.

These lectures are a mini-version of a longer series of lectures, also built using Jupyter Book 2.0. That series contains more features and applications but also requires more libraries and takes longer to run.

Both lecture series are taken from a more complete set of lectures on open source computing hosted by QuantEcon.