[scikit-learn] Fwd: [Numpy-discussion] start of an array (tensor) and dataframe API standardization initiative

[Gael Varoquaux]

Yes, I think that I kickstarted this a few month ago:
https://discuss.ossdata.org/t/a-dataframe-protocol-for-the-pydata-ecosystem/267

I really hope that this will help us serve better the community in
scikit-learn!

G

On Tue, Aug 18, 2020 at 05:11:46PM +0200, Adrin wrote:
> FYI: Related to the data-frame like discussions we've been having.

> ---------- Forwarded message ---------
> From: Ralf Gommers <ralf.gommers at gmail.com>
> Date: Mon., Aug. 17, 2020, 22:35
> Subject: [Numpy-discussion] start of an array (tensor) and dataframe API
> standardization initiative
> To: Discussion of Numerical Python <numpy-discussion at python.org>


> Hi all,

> I'd like to share this announcement blog post about the creation of a
> consortium for array and dataframe API standardization here: https://
> data-apis.org/blog/announcing_the_consortium/. It's still in the beginning
> stages, but starting to take shape. We have participation from one or more
> maintainers of most array and tensor libraries - NumPy, TensorFlow, PyTorch,
> MXNet, Dask, JAX, Xarray. Stephan Hoyer, Travis Oliphant and myself have been
> providing input from a NumPy perspective.

> The effort is very much related to some of the interoperability work we've been
> doing in NumPy (e.g. it could provide an answer to what's described in https://
> numpy.org/neps/nep-0037-array-module.html#
> requesting-restricted-subsets-of-numpy-s-api).

> At this point we're looking for feedback from maintainers at a high level (see
> the blog post for details).

> Also important: the python-record-api tooling and data in its repo has very
> granular API usage data, of the kind we could really use when making decisions
> that impact backwards compatibility.

> Cheers,
> Ralf

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-- 
    Gael Varoquaux
    Research Director, INRIA		  Visiting professor, McGill 
    http://gael-varoquaux.info            http://twitter.com/GaelVaroquaux