[Numpy-discussion] Showing by examples how Python-Numpy can be efficient even for computationally intensive tasks

Ralf Gommers ralf.gommers at gmail.com
Thu Nov 26 17:48:40 EST 2020


On Thu, Nov 26, 2020 at 9:15 PM PIERRE AUGIER <
pierre.augier at univ-grenoble-alpes.fr> wrote:

>
> I conclude from these types of results that we need to tell Python users
> how to accelerate their Python-Numpy codes when they feel the need of it. I
> think acceleration tools should be mentioned in Numpy website. I also think
> we should spend a bit of energy to play some benchmark games.
>

Good point, added an issue for it on the website repo:
https://github.com/numpy/numpy.org/issues/370

Cheers,
Ralf
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