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.gomm...@gmail.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-numpy/>
> <http://www.labri.fr/perso/nrougier/from-python-to-numpy/
<http://www.labri.fr/perso/nrougier/from-python-to-numpy/>>
>
>
> 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')
Allan
Chuck
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