When you're trying to get the best performance out of Python, most developers immediately jump to complex algorithmic fixes, using C extensions, or obsessively running profiling tools. However, one of ...

It is tested on Python 2.7, 3.4, 3.5 and 3.6. It requires numpy and scipy.

Let's say that you're using mkdocs for your documentation. Then you're writing down markdown to explain how your Python packages work. It'd be a shame if a codeblock ...