On Thu, Jul 21, 2016 at 3:10 PM, Pauli Virtanen wrote:
> Thu, 21 Jul 2016 16:24:15 +0200, mail kirjoitti:
> [clip]
>> Since it is run by the community, perhaps it's not a bad idea to
>> encourage people to share their examples.
>
> I would perhaps rather encourage people to improve
See issue #7780: https://github.com/numpy/numpy/issues/7780
Would be good if the numpy.polynomial fit methods (e.g.
numpy.polynomial.legendre.Legendre.fit) could return the covariance matrix of
the fitted parameters, in the same way as numpy.polyfit.
Let me know if there are any
Thu, 21 Jul 2016 16:24:15 +0200, mail kirjoitti:
[clip]
> Since it is run by the community, perhaps it's not a bad idea to
> encourage people to share their examples.
I would perhaps rather encourage people to improve the "Numpy User Guide"
or the main documentation. Of course, working on that
I will do my best. I am not that familiar with rst or numpy docs, but
that's what PRs are for after all.
-Joe
On Thu, Jul 21, 2016 at 12:09 PM, Marten van Kerkwijk
wrote:
> Yes, indeed, where should this be!?
>
> The logical place would be in the developer
>> StackOverflow now also has documentation, and there already is a NumPy tag:
>>
>> http://stackoverflow.com/documentation/numpy
>>
>> Not sure what, if anything, do we want to do with this, nor how to handle
>> not having to different sources with the same information. Any thoughts?
>From what
On Thu, Jul 21, 2016 at 5:47 AM, Jaime Fernández del Río <
jaime.f...@gmail.com> wrote:
> StackOverflow now also has documentation, and there already is a NumPy tag:
>
> http://stackoverflow.com/documentation/numpy
>
> Not sure what, if anything, do we want to do with this, nor how to handle
>
I know it is slightly obnoxious to hold the "making a suggestion is to
volunteer for it" -- but usually a PR to the docs is best made by someone
who is trying to understand it rather than someone who already knows
everything
-- Marten
___
StackOverflow now also has documentation, and there already is a NumPy tag:
http://stackoverflow.com/documentation/numpy
Not sure what, if anything, do we want to do with this, nor how to handle
not having to different sources with the same information. Any thoughts?
Jaime
--
(\__/)
( O.o)
(
On Wed, Jul 20, 2016 at 9:39 PM, Hannah wrote:
> I second (and third & fourth &...) this
>
> Thanks so much for this, Jaime, it's exactly what I was looking for and
> couldn't find. Maybe this can be linked to in the contribute docs as an
> "orienting yourself in the