**Part 3: Python / Sphinx**

Parts 1 and 2 of

*Quantitative Economics*, by Stachurski and Sargent, are great routes into Python for economists. There's lots of good comparative discussion of Python vs. Matlab or Julia, the benefits of public-domain, open-source code, etc. And it's always up to the minute, because it's an on-line e-book! Just check it out.

Sphinx is instantly downloadable, beautifully documented (the documentation is written in Sphinx, of course!), open source, and public domain (licensed under BSD). ReStructuredText is the powerful markup language. (You can learn all you need in ten minutes, since math is the only complicated thing, and math stays in LaTeX, rendered either by JavaScript via MathJax or as png images, your choice.) In addition to publishing to HTML, you can publish to LaTeX or pdf.

Want to see how Sphinx performs with math even more dense than Stachurcski and Sargent's? Just check, for example, the Sphinx book

*Theoretical Physics Reference*. Want to see how it performs with graphics even more slick than Stachurcski and Sargent's? Just check the

*Matplotlib Documentation*. It's all done in Sphinx.

Sphinx is a totally class act. In my humble opinion, nothing else in its genre comes close.