Yes, I do feel NumExpr does very similar things as Repa, while Repa works
rather statically for Haskell code, NumExpr is much more interactive.
Well, honestly as a long time Numpy user, I'm aware of NumExpr since early days
I learning Numpy, but never ever resorted to NumExpr, it's neither as co
Hi All,
Just a note that latest pip release broke the numpy wheel builds. The fix
is to update multibuild to the latest version. I'm sending this out in case
others are affected.
Chuck
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This is great!!
Did someone tweet about this, so that I retweet? I'm happy crafting a
tweet myself, but I'd rather shine light on someone who deserves the
attention.
Thanks a lot to all involved, in the name of the community,
Gaël
On Tue, Jan 21, 2020 at 03:20:06PM -0800, Anne Bonner wrote:
> W
What an exciting day!!! Thank you!
~Anne
On Tue, Jan 21, 2020 at 2:20 PM alexander baker
wrote:
> This looks really helpful, thanks to all those whom took the time to
> write. Alex b.
>
> On 21 Jan 2020, at 19:19, Ralf Gommers wrote:
>
> Hi all,
>
> I think this is worth announcing: we have a
On Tue, Jan 21, 2020 at 2:14 PM Matti Picus wrote:
> A few months ago we merged an implementation of "NEP 34 - Disallow
> inferring dtype=object from sequences"
> https://numpy.org/neps/nep-0034.html but it broke downstream packages
> like scipy, pandas, matplotlib, astropy (those are the ones we
This looks really helpful, thanks to all those whom took the time to write.
Alex b.
> On 21 Jan 2020, at 19:19, Ralf Gommers wrote:
>
> Hi all,
>
> I think this is worth announcing: we have a new tutorial in the user guide
> titled "NumPy: the absolute basics for beginners". This was Anne Bon
Hi all,
There will be a NumPy Community meeting Wednesday January 22 at 11 am
Pacific Time. Everyone is invited to join in and edit the work-in-
progress meeting topics and notes:
https://hackmd.io/76o-IxCjQX2mOXO_wwkcpg?both
Best wishes
Sebastian
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Description: This is a digitall
A few months ago we merged an implementation of "NEP 34 - Disallow
inferring dtype=object from sequences"
https://numpy.org/neps/nep-0034.html but it broke downstream packages
like scipy, pandas, matplotlib, astropy (those are the ones we know
about). Since then, the downstream projects seem to
Hi all,
I think this is worth announcing: we have a new tutorial in the user guide
titled "NumPy: the absolute basics for beginners". This was Anne Bonner's
Season of Docs project, and it is a big step in the right direction for
making are docs more accessible to new users.
Up at https://numpy.or
The description you make tell me that this look similar to numexpr[1]. It could
be useful that you look it up.
[1] https://github.com/pydata/numexpr
-Original Message-
From: NumPy-Discussion
On Behalf Of Compl Yue
Sent: Tuesday, January 21, 2020 10:33 AM
To: numpy-discussion@python.o
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Hash: SHA256
Hi all,
On behalf of the SciPy development team I'm pleased to announce
the release of SciPy 1.2.3, which is a bug fix release. This is part
of the long-term support (LTS) branch that includes Python 2.7.
Sources and binary wheels can be found at:
Hi Matthew,
I hate to say I'm still a noob in the implementation details of Numpy, I
just got an interpreter for sth else working, and suddenly realized it
can make seemingly better magic methods in Python spirit.
Repa and Accelerate per my learning so far, are focused on loop-fusion,
i.e. o
Hi,
On Mon, Jan 20, 2020 at 3:00 PM YueCompl wrote:
>
> Hello folks,
>
> Myself a long time Numpy user, and recently done some Haskell stuff,
>
> Please have a look at
> https://github.com/e-wrks/edh/tree/master/Tour#defining-more-magic-methods
> and https://github.com/e-wrks/edh/tree/master/T
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