On Wed, Jul 5, 2017 at 10:43 AM, Ralf Gommers <ralf.gomm...@gmail.com> wrote:
> > > On Mon, Jul 3, 2017 at 7:01 AM, Charles R Harris < > charlesr.har...@gmail.com> wrote: > >> >> >> On Sun, Jul 2, 2017 at 9:33 AM, Sebastian Berg < >> sebast...@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.r...@gmail.com >>> > > >>> > > <mailto:ben.v.r...@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@gmai >>> > > l.com >>> > > <mailto:ralf.gomm...@gmail.com>> wrote: >>> > > >>> > > >>> > > >>> > > On Fri, Jun 30, 2017 at 6:50 AM, Pauli Virtanen <p...@iki.fi >>> > > <mailto:p...@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 > > > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion > >
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