One little point here:
> * np.ndarray.cumprod: low importance -> prefer np.multiply.accumulate
>>
>
I think that's and example of something that *should* be part of the numpy
API, but should be implemented as a mixin, based on np.multiply.accumulate.
As I'm a still confused about the goal her
11 am Pacific Time
On Tue, 4 Jun 2019 at 16:14, Tyler Reddy wrote:
> Hi,
>
> There will be a weekly community call on June 5/ 2019--anyone may join and
> edit the work-in-progress meeting notes:
> https://hackmd.io/5fKOqla6SIqKJMtB7w5Law?view
>
> The conference call link should be in that docume
Hi,
There will be a weekly community call on June 5/ 2019--anyone may join and
edit the work-in-progress meeting notes:
https://hackmd.io/5fKOqla6SIqKJMtB7w5Law?view
The conference call link should be in that document.
Best wishes,
Tyler
___
NumPy-Disc
On Mon, Jun 3, 2019 at 7:56 PM Sebastian Berg
wrote:
> On Sun, 2019-06-02 at 08:42 +0200, Ralf Gommers wrote:
> >
> >
>
> > > >
> > >
> > > This sounds like a restructuring or factorization of the API, in
> > > order to make it smaller, and thus easier to learn and use.
> > > It may start with t
