[Numpy-discussion] Scipy 2017 NumPy sprint
David Cournapeau
cournape at gmail.com
Wed Jul 5 09:00:33 EDT 2017
On Wed, Jul 5, 2017 at 10:43 AM, Ralf Gommers <ralf.gommers at gmail.com>
wrote:
>
>
> On Mon, Jul 3, 2017 at 7:01 AM, Charles R Harris <
> charlesr.harris at gmail.com> wrote:
>
>>
>>
>> On Sun, Jul 2, 2017 at 9:33 AM, Sebastian Berg <
>> sebastian at sipsolutions.net> wrote:
>>
>>> On Sun, 2017-07-02 at 10:49 -0400, Allan Haldane wrote:
>>> > On 07/02/2017 10:03 AM, Charles R Harris wrote:
>>> > > Updated list below.
>>> > >
>>> > > On Sat, Jul 1, 2017 at 7:08 PM, Benjamin Root <ben.v.root at gmail.com
>>> > >
>>> > > <mailto:ben.v.root at gmail.com>> wrote:
>>> > >
>>> > > Just a heads-up. There is now a sphinx-gallery plugin.
>>> > > Matplotlib
>>> > > and a few other projects have migrated their docs over to use
>>> > > it.
>>> > >
>>> > > https://sphinx-gallery.readthedocs.io/en/latest/
>>> > > <https://sphinx-gallery.readthedocs.io/en/latest/>
>>> > >
>>> > > Cheers!
>>> > > Ben Root
>>> > >
>>> > >
>>> > > On Sat, Jul 1, 2017 at 7:12 AM, Ralf Gommers <ralf.gommers at gmai
>>> > > l.com
>>> > > <mailto:ralf.gommers at gmail.com>> wrote:
>>> > >
>>> > >
>>> > >
>>> > > On Fri, Jun 30, 2017 at 6:50 AM, Pauli Virtanen <pav at iki.fi
>>> > > <mailto:pav at iki.fi>> wrote:
>>> > >
>>> > > Charles R Harris kirjoitti 29.06.2017 klo 20:45:
>>> > > > Here's a random idea: how about building a NumPy
>>> > > gallery?
>>> > > > scikit-{image,learn} has it, and while those
>>> > > projects may have more
>>> > > > visual datasets, I can imagine something along
>>> > > the lines of Nicolas
>>> > > > Rougier's beautiful book:
>>> > > >
>>> > > > http://www.labri.fr/perso/nrougier/from-python-to
>>> > > -numpy/
>>> > > <http://www.labri.fr/perso/nrougier/from-python-to-nump
>>> > > y/>
>>> > > > <http://www.labri.fr/perso/nrougier/from-python-t
>>> > > o-numpy/
>>> > > <http://www.labri.fr/perso/nrougier/from-python-to-nump
>>> > > y/>>
>>> > > >
>>> > > >
>>> > > > So that would be added in the numpy
>>> > > > <https://github.com/numpy>/numpy.org
>>> > > <http://numpy.org>
>>> > > > <https://github.com/numpy/numpy.org
>>> > > <https://github.com/numpy/numpy.org>> repo?
>>> > >
>>> > > Or https://scipy-cookbook.readthedocs.io/
>>> > > <https://scipy-cookbook.readthedocs.io/> ?
>>> > > (maybe minus bitrot and images added :)
>>> > > _____________________________________
>>> > >
>>> > >
>>> > > I'd like the numpy.org <http://numpy.org> one. numpy.org
>>> > > <http://numpy.org> is now incredibly sparse and ugly, a
>>> > > gallery
>>> > > would make it look a lot better.
>>> > >
>>> > > Another idea, from the "deprecate np.matrix" discussion:
>>> > > add
>>> > > numpy documentation describing the preferred way to handle
>>> > > matrices, extolling the virtues of @, and move np.matrix
>>> > > documentation to a deprecated section.
>>> > >
>>> > >
>>> > > Putting things together with a few new ideas,
>>> > >
>>> > > 1. add gallery to numpy.org <http://numpy.org>,
>>> > > 2. add extended documentation of '@' operator,
>>> > > 3. make Numpy tests Pytest compatible,
>>> > > 4. add matrix multiplication ufunc.
>>> > >
>>> > > Any more ideas?
>>> >
>>> > The new doctest runner suggested in the printing thread? This is to
>>> > ignore whitespace and precision in ndarray output.
>>> >
>>> > I can see an argument for distributing it in numpy if it is designed
>>> > to
>>> > be specially aware of ndarrays or numpy scalars (eg to test equality
>>> > between 'wants' and 'got')
>>> >
>>>
>>> I don't really feel it is very numpy specific or should be under the
>>> numpy umbrella (I mean if there is no other spot, I guess it could live
>>> on the numpy github page). Its about as numpy specific, as the gallery
>>> sphinx extension is probably matplotlib specific....
>>>
>>> That doesn't mean that it might not be a good sprint, though :).
>>>
>>> The question to me is a bit what those who actually go there want from
>>> it or do a few people who know numpy/scipy already plan to come? Two
>>> years ago, we did not have much of a plan, so it was mostly giving
>>> three people or so a bit of a tutorial of how numpy worked internally
>>> leading to some bug fixes.
>>>
>>> One quick idea that might be nice and dives a bit into the C-layer
>>> (might be nice if there is no big topic with a few people working on):
>>>
>>> * Find places that should have the new memory overlap
>>> detection and implement it there.
>>>
>>> If someone who does subclasses/array-likes or so (e.g. like Stefan
>>> Hoyer ;)) and is interested, and also we do some
>>> teleconferencing/chatting (and I have time).... I might be interested
>>> in discussing and possibly trying to develop the new indexer ideas,
>>> which I feel are pretty far, but I got stuck on how to get subclasses
>>> right.
>>>
>>> - Sebastian
>>>
>>>
>>>
>> I've opened an issue for Pytests
>> <https://github.com/numpy/numpy/issues/9352> and given it a "Scipy2017
>> Sprint" label. I'd be much obliged if the folks with suggestions here would
>> open other issues and also label them with "Scipy2017 Sprint". Note that
>> these issues are not Scipy 2017 specific, they could be used in other
>> contexts, but I thought is might be useful to collect them in one spot and
>> give them some structure together with suggestions on how to proceed.
>>
>> Ralf, you have made several previous suggestion on bringing over some to
>> the scipy tests to numpy, to include documentation testing. Were there any
>> other tests we should look into?
>>
>
> Better platform test coverage would be a useful topic if someone is
> willing to work on that. NumPy needs OS X testing enabled on TravisCI,
> SciPy needs OS X and a 32-bit test (steal from NumPy). And if someone
> really feels ambitious: replace ATLAS by OpenBLAS in one of the test matrix
> entries.
>
I can help with that, especially OpenBLAS. Though I would not mind working
on something else than packaging :)
David
> Ralf
>
>
>
>
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