issue_comments: 529578839

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https://github.com/pydata/xarray/issues/2799#issuecomment-529578839 https://api.github.com/repos/pydata/xarray/issues/2799 529578839 MDEyOklzc3VlQ29tbWVudDUyOTU3ODgzOQ== 6213168 2019-09-09T17:15:08Z 2019-09-09T17:15:08Z MEMBER

Pythran supports Python 2.7 and also has a decent Python 3 support. [...] Pythran now supports Python3 and can be installed as a regular Python3 program. Note however that Python3 support is still in early stage and compilation failure may happen. Report them!

This is not a great start :(

It's the first time I hear about Pythran. At first sight it looks somewhat like a hybrid between Cython (for the ahead-of-time transpiling to C++) and numba (for having python-compatible syntax).

That said, I didn't see anything that hints at potential speedups on the python boilerplate code.

I already had experience with compiling pure-python code (tight __iter__ methods) with Cython, and got around 30% performance boost which - while nothing to scoff at - is not life-changing either.

This said, I'd have to spend more time on it to get a more informed opinion.

 
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