On Tue, May 3, 2022 at 5:05 PM Renato Fabbri
wrote:
> 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?
>
Hi Renato, no we don't have
Hi everyone,
Operations such as np.sqrt or np.cos on numpy scalars are much slower than
operations on an array of size 1 (benchmark below). The reason seems to be
that a numpy scalar (e.g. np.float64(1.1)) is converted internally to an
array, an array is created for the result of the operation and
On Tue, 2022-05-03 at 15:06 +0200, Pieter Eendebak wrote:
> Hi everyone,
>
> Operations such as np.sqrt or np.cos on numpy scalars are much slower
> than
> operations on an array of size 1 (benchmark below). The reason seems
> to be
> that a numpy scalar (e.g. np.float64(1.1)) is converted interna
The next Newcomers' Hour will be held tomorrow, May 5th, at 4 pm UTC. Stop
by to ask questions or just to say hi as we don't have an agenda for this
meeting.
Join us via Zoom: https://us02web.zoom.us/j/87192457898
Cheers,
Inessa
Inessa Pawson
NumPy Contributor Experience Lead
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