Earlier quoted context omitted.
Having read plenty of python numerical code, I'm not sure "easy to parse and understand" is what exactly comes to mind.
Most of the problem comes from Pandas which is of course R-inspired.
Now, the only time I write base-R like code is in Python, which is pretty weird.
It's also strange as sklearn is beautiful, and in general python libraries are nicer than the equivalents in R, but pandas is a large, warty exception.