News for hackers. Stuff that matters.

A comment on How to Make Python Run as Fast as Julia (2015). Parent comment

Re:How to Make Python Run as Fast as Julia (2015) by Asdfbla on Tuesday August 29, 2017 @06:25AM (#15123315)
Numpy is such an essential library for any type of scientific computing in Python that ignoring it would be missing the point, if anything. The library infrastructure is part of the appeal of a programming language and Numpy is the default for anything compute-heavy in Python.
[ Parent | on HN ]
Re:How to Make Python Run as Fast as Julia (2015) by mbaha on Tuesday August 29, 2017 @07:25AM (#15123523)
Completely agree.

Python users shouldn't run standard loops in any scientific computing. Only valid examples are looping over a set of http parameters in a web app...

In which case, the computation will definitely not be the bottleneck.

[ Parent | on HN ]