Fwd: [Numpy-discussion] start of an array (tensor) and dataframe API standardization initiative
FYI: Related to the data-frame like discussions we've been having. ---------- Forwarded message --------- From: Ralf Gommers <ralf.gommers@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@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-subs... ). 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 _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@python.org https://mail.python.org/mailman/listinfo/numpy-discussion
Yes, I think that I kickstarted this a few month ago: https://discuss.ossdata.org/t/a-dataframe-protocol-for-the-pydata-ecosystem/... 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@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@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
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Gael Varoquaux