One thing to be done, fairly easy to address, is to move the datasets with separate repos into the SciPy org and update the links in the registry file. Currently, all of these are under https://github.com/scipy-datasets. Some follow-ups will include getting rid of the dataset files from the SciPy repo completely once the PR is approved and merged. 

Moving those repos into the SciPy GitHub org seems indeed preferred, to ensure we can reuse our normal permissions management workflow, and don't have to maintain duplicate sets of permissions. There will be quite a few repos over time, however given that they're named `dataset-xxx` I don't see an issue with that.

I plan to move these repos sometime next week. If anyone has a concern, please let me know.

 

Just wanted to bring up the updates on the mailing list. Please let me know if you have any kind of feedback on Github. Thanks!

Best,

Anirudh

On Fri, Feb 25, 2022 at 3:58 PM Ralf Gommers <ralf.gommers@gmail.com> wrote:

On Wed, Feb 23, 2022 at 10:11 PM Stephan Hoyer <shoyer@gmail.com> wrote:

On Tue, Feb 22, 2022 at 9:20 PM Ralf Gommers <ralf.gommers@gmail.com> wrote:

If we were to keep them in SciPy, they might belong in scipy.optimize next to check_grad and approx_frime. But I don't think these functions (as written) are very useful. They have obvious computational inefficiencies and very limited functionality. I would rather point users to a fully functioning library for finite-differences like findiff: https://github.com/maroba/findiff

Thanks Stephan! I didn't hear about findiff before. Would you recommend it over https://github.com/pbrod/numdifftools?

 I haven't used either of them, it just came up in a search for finite differences in Python.

Okay, thanks Stephan. Both look good, so unless someone has practical experience and can make a recommendation for why one of these is preferred, we should probably list both in the deprecation notice.

Cheers,

Ralf

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