On Fri, May 10, 2024 at 04:42:49PM +0200, Ralf Gommers wrote:
> It gets ever-easier to install new Python versions, with pyenv/conda/etc. The
> "my single Python install comes from python.org and I'm using the same one
> because I am afraid to upgrade" is much less of an issue than it was 10 year
On Tue, May 07, 2024 at 11:31:02AM +0200, Ralf Gommers wrote:
> make `pip install scikit-image==0.22` work if that version of scikit-image
> depends on an unconstrained numpy version.
Would an option be for the scikit-image maintainers to release a version of
scikit-image 0.22 (like 0.22.1) with
many useful reflections), you might know people who could
benefit from this course to learn machine learning. Please help us spread the
word.
Pythonly yours,
Gaël
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Gael Varoquaux
Research Director, INRIA
http://gael-varoquaux.info
Thanks. Exactly what I needed. I don't know why I did not find it myself
:).
Cheers,
Gaël
On Wed, Jan 22, 2020 at 05:02:01PM +0100, Ralf Gommers wrote:
> On Wed, Jan 22, 2020 at 1:13 AM Gael Varoquaux
> wrote:
> Did someone tweet about this, so that I retweet? I'
ion@python.org
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Gae
> The one thing I worry about is maintenance burden, where numpydoc is already
> spread a little bit thin -- would any of the Pandas developers be willing to
> maintain it?
Any reason that this is not done in sphinx, with the napoleon extension?
https://www.sphinx-doc.org/en/master/usage/extension
On Mon, May 20, 2019 at 11:01:15AM -0700, Nelle Varoquaux wrote:
> I'm pretty sure not all funding is acknowledged on scikit-learn's frontpage. I
> think the minimum amount to be acknowledge with a logo is funding for a full
> time developer for at least a year, ie at least 100k€.
These days, it's
It used to be enthought.
Sorry, I'm traveling for vacations, and I cannot take care of this right now.
Gaël
Sent from my phone. Please forgive typos and briefness.
On Aug 18, 2018, 07:44, at 07:44, Charles R Harris
wrote:
>Hi All,
>
>Anyone know who hosts http://planet.scipy.org/?
>
>Chuck
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Phone: ++ 33-1-
On Tue, Jul 03, 2018 at 09:42:08AM +0200, Andrea Gavana wrote:
> I’m happy if you feel better after your tirade.
Not really. I worry a lot that many users are going to be surprised when
Python 2 stops being supported, which is in a couple of years. I wrote
this tirade not to make me feel better, b
On Tue, Jul 03, 2018 at 08:54:51AM +0200, Andrea Gavana wrote:
> This sound so very powerful... it’s such a pity that these type of gems won’t
> be backported to Python 2 - we have so many legacy applications smoothly
> running in Python 2 and nowhere near the required resources to even start
> por
On Mon, Jul 02, 2018 at 05:31:05PM -0600, Charles R Harris wrote:
> ISTR that some parallel processing applications sent pickled arrays around to
> different processes, I don't know if that is still the case, but if so, no
> copy
> might be a big gain for them.
Yes, most parallel code that's acro
While we are in the crazy wish-list: having dtypes that are universal
enough for pandas to use them and export their columns with them would be
my crazy wish. I hope that it would help adding more uniform support for
things like categorical variables in the pydata ecosystem.
Gaël
_
> The other packages are nice but I would really love to just use scipy/
> sklearn and have decompositions, factorizations, etc for big matrices
> go a little faster without recoding the algorithms. Thanks
If you have very big matrices, scikit-learn's PCA already uses randomized
linear algebra, w
> - There are major projects like scikit-learn that simply have no
> alternative to using np.matrix, because of scipy.sparse.
Well, we have no love for np.matrix, we just use scipy.sparse and
np.ndarray.
> - After there's an alternative to scipy.sparse:
+1 for alternative to scipy.sparse before
On Mon, Nov 13, 2017 at 10:26:31AM -0800, Matthias Bussonnier wrote:
> This behavior is "new" (Nov/Dec 2016). [snip]
> It _does_ require to have a version of pip which is not decades old
Just to check that I am not misunderstanding: the version of pip should
not be more than a year old; "decades o
Another point in defence of vstack vs stack/concatenate: last time I
looked, it was faster on smallish arrays.
Gaël
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t a space, so
> >> that
> >> `repr(array([True]))` is now 'array([True])' instead of
> >> 'array([ True])'.
> >> Allan
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owledge and the opportunity to go ahead and organize a similar
> workshop in any conference they go to.
> Jaime
> P.S. I also got a chance to catch up with Francesc Alted and Travis Oliphant,
> which is always great!
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Gael Varoquaux
Researcher, INRIA Parietal
NeuroSpin/
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