- Mail original -
> De: "Stefan Krah"
> À: "numpy-discussion"
> Envoyé: Mercredi 7 Mai 2025 18:17:38
> Objet: [Numpy-discussion] Re: Better compatibility of the Python
> scientific/data stack with fast Python interpreters
> On Wed, May 07, 2025
- Mail original -
> De: "Stefan Krah"
> À: "numpy-discussion"
> Envoyé: Mercredi 7 Mai 2025 13:47:19
> Objet: [Numpy-discussion] Re: Better compatibility of the Python
> scientific/data stack with fast Python interpreters
> On Wed, Apr 30, 2025 at
Thanks Matti for this interesting and sad piece of news.
I also reply on numpy-discussion@python.org since your message was not post on
this list and take the opportunity to signal another important post about his
subject on discuss.python.org by Stepan Sindelar:
https://discuss.python.org/t/c-
Re: Better compatibility of the Python
> scientific/data stack with fast Python interpreters
> On Tue, Apr 29, 2025 at 11:24 AM PIERRE AUGIER < [
> mailto:pierre.aug...@univ-grenoble-alpes.fr |
> pierre.aug...@univ-grenoble-alpes.fr ] > wrote:
>
>
> Dear Numpy co
- Mail original -
> De: "Stefan Krah"
> À: "numpy-discussion"
> Envoyé: Mardi 29 Avril 2025 12:09:26
> Objet: [Numpy-discussion] Re: Better compatibility of the Python
> scientific/data stack with fast Python interpreters
> On Tue, Apr 29, 2025 at
and fast Python interpreters?
- Do you have points of view on how this should be done, technically (HPy?,
something else?) and on other aspects (community, NEP?, founding, ...).
- Anything else interesting on this subject?
Best regards,
Pierre
--
Pierre Augier - CR CNRS http://ww
or: 'type'
D:\a\pyFFTW\pyFFTW\pyfftw\fftw3.h(358): error C2059: syntax error: ')'
D:\a\pyFFTW\pyFFTW\pyfftw\fftw3.h(358): fatal error C1003: error count
exceeds 100; stopping compilation
error: command 'C:\\Program Files\\Microsoft Visual
Studio\\2022\\Enterprise\\
arrays do not give to the same performance). This
makes sense because it is indeed about the array creation.
I haven't yet studied in details this commit (which is quite big and not
simple) and I'm not sure I'm going to be able to understand it and in
particular understand why
gt; De: "Sebastian Berg"
> À: "numpy-discussion"
> Envoyé: Vendredi 12 Mars 2021 22:50:24
> Objet: Re: [Numpy-discussion] Looking for a difference between Numpy 0.19.5
> and 0.20 explaining a perf regression with
> Pythran
> On Fri, 2021-03-12 at 21:3
Hi,
I'm looking for a difference between Numpy 0.19.5 and 0.20 which could explain
a performance regression (~15 %) with Pythran.
I observe this regression with the script
https://github.com/paugier/nbabel/blob/master/py/bench.py
Pythran reimplements Numpy so it is not about Numpy code for com
Hi,
When Numpy 1.20 was released, I discovered numpy.typing and its documentation
https://numpy.org/doc/stable/reference/typing.html
I know that it is very new but I'm a bit lost. A good API to describe Array
type would be useful not only for type checkers but also for Python
accelerators usin
ons
are also wrong.
I'd like to know if some people involved in the community are willing to be
co-authors of this potential reply.
Cheers,
Pierre
--
Pierre Augier - CR CNRS http://www.legi.grenoble-inp.fr
LEGI (UMR 5519) Laboratoire des Ecoulements Geophysiques et Ind
s, one can be extremely efficient with Python".
Pierre
>
> On Tue, Nov 24, 2020 at 11:12 AM Ilhan Polat < [ mailto:ilhanpo...@gmail.com |
> ilhanpo...@gmail.com ] > wrote:
>
> Do we have to take it seriously to start with? Because, with absolutely no
> offense meant, I a
placing whole
Python functions with optimized compiled code). Of course, I hope I'm wrong!
IMHO, it does not remove the need for a successful HPy!
--
Pierre Augier - CR CNRS http://www.legi.grenoble-inp.fr
LEGI (UMR 5519) Laboratoire des Ecoulements Geophysiques et Indus
gt;
> On Mon, Nov 4, 2019 at 4:54 PM PIERRE AUGIER <
> pierre.aug...@univ-grenoble-alpes.fr> wrote:
>
>> Dear Python-Numpy community,
>>
>> Transonic is a pure Python package to easily accelerate modern
>> Python-Numpy code with different accelerators (curre
s of these functions with pure Numpy, Numba
and Pythran ?
You can find out the answer in our note http://tiny.cc/transonic-vision :-)
Pierre
> Message: 1
> Date: Thu, 31 Oct 2019 21:16:06 +0100 (CET)
> From: PIERRE AUGIER
> To: numpy-discussion@python.org
> Subject: [Numpy-dis
iated!
Pierre
--
Pierre Augier - CR CNRS http://www.legi.grenoble-inp.fr
LEGI (UMR 5519) Laboratoire des Ecoulements Geophysiques et Industriels
BP53, 38041 Grenoble Cedex, Francetel:+33.4.56.52.86.16
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s and get a good
idea of their overall performance?
I explain a little bit more in the stackoverflow question...
Pierre Augier
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