I have submitted NEP 49 to enable user-defined allocation strategies for
the ndarray.data homogeneous memory area. The implementation is in PR
17582 https://github.com/numpy/numpy/pull/17582 Here is the text of the NEP:
Abstract
The ``numpy.ndarray`` requires additional memory alloca
Hi,
I am new to contributing to open source projects and not sure where to begin
(maybe emailing this distro?). In any case, the main improvement I would
like to work on would be adding multivariate polynomials/differentials to
numpy. I would love any insight into the current status and intension
On Tue, 20 Apr 2021 at 19:21, Robert wrote:
>
> I am new to contributing to open source projects and not sure where to begin
> (maybe emailing this distro?). In any case, the main improvement I would
> like to work on would be adding multivariate polynomials/differentials to
> numpy. I would love
I had not looked into sympy that closes, thinking it was mostly a symbolic
package. However, there appears to be functions that convert back to numpy
expressions so that np.ndarray's and such can work. There also appears to be
extensive polynomial classes already defined.
Thanks for pointing me i
Hi all,
Our bi-weekly triage-focused NumPy development meeting is Wednesday,
Arpil 21st at 11 am Pacific Time (18:00 UTC).
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
Hi Stephan,
You are correct that MyGrad takes an object-oriented design, rather than a
functional one. This enables a more imperative style of workflow [1], which
is how many people approach doing data science in notebooks and REPLs.
MyGrad feels similar to NumPy and PyTorch in this way.
Ultimate
