Hi all,
Our bi-weekly triage-focused NumPy development meeting is Wednesday,
May 4th at 16:00 UTC (9:00am Pacific Time).
Everyone is invited to join in and edit the work-in-progress meeting
topics and notes:
https://hackmd.io/68i_JvOYQfy9ERiHgXMPvg
I encourage everyone to notify us of issues or P
On Tue, May 3, 2022 at 1:48 PM Sebastian Berg
wrote:
> Hi all,
>
> Our bi-weekly triage-focused NumPy development meeting is Wednesday,
> May 4th at 16:00 UTC (9:00am Pacific Time).
> Everyone is invited to join in and edit the work-in-progress meeting
> topics and notes:
> https://hackmd.io/68i_
This is not only for me, but a question for the community in general.
Do we have an open knowledge base of budget (interested companies or
individuals, public funding)
for developing numpy-related packages?
Explaining a bit with a specific case...
In the last few years, I have many times thought a
On Sun, May 1, 2022 at 9:08 PM Sergei Lebedev
wrote:
> > I think that's on purpose, because the type annotations are quite
> complex.
> > For reasons of correctness/completeleness, they use protocols, mixins,
> and
> > overloads. Inside pure Python code, that would be harder to read and
> > maint
I share Ralf’s general sentiment here; the abundance of overloads makes it in
my opinion undesirable to move to inline annotations due the sheer amount of
extra clutter.
This is in part due to dtype-typing support, which is currently difficult to
express without overloads, though I do expect th
Hi, I am catching up with an assigned task that I slipped. I am wondering a few
things about the numpy.linalg.eig() API (eigvals() is also included in this
discussion, but for simplicity let's focus on eig()). AFAIU the purpose of
eig() is for handling general eigen-systems which have left and r
On Tue, May 3, 2022 at 6:41 PM Leo Fang wrote:
> Hi, I am catching up with an assigned task that I slipped. I am wondering
> a few things about the numpy.linalg.eig() API (eigvals() is also included
> in this discussion, but for simplicity let's focus on eig()). AFAIU the
> purpose of eig() is fo
On Tue, May 3, 2022 at 8:40 PM Leo Fang wrote:
> Hi, I am catching up with an assigned task that I slipped. I am wondering
> a few things about the numpy.linalg.eig() API (eigvals() is also included
> in this discussion, but for simplicity let's focus on eig()). AFAIU the
> purpose of eig() is fo
