Mailman 3 October 2019 - NumPy-Discussion

Numpy community meeting Wed Oct 23
by Matti Picus 23 Oct '19

23 Oct '19

Hi all, There will be a NumPy Community meeting Wednesday Oct 23 at 11 am Pacific Time. Everyone is invited to join in and edit the work-in- progress meeting topics and notes: https://hackmd.io/76o-IxCjQX2mOXO_wwkcpg?both Matti

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Recommended way to utilize GPUs via OpenCL, ROCm
by Pankaj Jangid 21 Oct '19

21 Oct '19

Is there an officially recommended way to utilize AMD GPUs via OpenCL, ROCm? I came across ROCm website https://rocm.github.io/. This has Tensorflow and PyTorch versions for using AMD GPUs. Just wanted to know if there is a way to use my AMD GPUs for NumPy calculations. -- Regards, Pankaj Jangid

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Unsupporting python3.5
by Matti Picus 19 Oct '19

19 Oct '19

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numpy C-API :: use numpy's random number generator in a ufunc
by Daniel Knüttel 18 Oct '19

18 Oct '19

Hi folks, I currently have a project that requires randomness in a ufunc. In order to keep the ufuncs as reproducible as possible I would like to use numpy's random number generator for that; basically because setting the seed will be more intuitive this way. However I cannot find the documentation of the numpy.random C-API (does it have one?). How would one do that? Cheers, -- Daniel Knüttel <daniel.knuettel(a)daknuett.eu>

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educational resources recommendations are wanted
by Inessa Pawson 17 Oct '19

17 Oct '19

I’m working on creating a curated collection of NumPy related educational resources (tutorials, articles, books, presentations, courses, etc.). Your recommendations would be much appreciated, especially in languages other than English. Please include in your submission a brief description why it deserves mention on numpy.org and what audience would benefit from it the most. -- Every good wish, *Inessa Pawson* NumPy Web Team

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NumPy 1.17 3 released
by Charles R Harris 17 Oct '19

17 Oct '19

Hi All, On behalf of the NumPy team I am pleased to announce that NumPy 1.17.3 has been released. This is a bugfix release. The Python versions supported in this release are 3.5-3.8. Downstream developers should use Cython >= 0.29.13 for Python 3.8 support and OpenBLAS >= 3.7 to avoid wrong results on the Skylake architecture. The NumP Wheels for this release can be downloaded from PyPI <https://pypi.org/project/numpy/1.17.3/>, source archives and release notes are available from Github <https://github.com/numpy/numpy/releases/tag/v1.17.3>. *Highlights* - Wheels for Python 3.8 - Boolean matmul fixed to use booleans instead of integers. *Compatibility notes* - The seldom used PyArray_DescrCheck macro has been changed/fixed. *Contributors* A total of 7 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Allan Haldane - Charles Harris - Kevin Sheppard - Matti Picus - Ralf Gommers - Sebastian Berg - Warren Weckesser *Pull requests merged* A total of 12 pull requests were merged for this release. - gh-14456: MAINT: clean up pocketfft modules inside numpy.fft namespace. - gh-14463: BUG: random.hypergeometic assumes npy_long is npy_int64, hung... - gh-14502: BUG: random: Revert gh-14458 and refix gh-14557. - gh-14504: BUG: add a specialized loop for boolean matmul. - gh-14506: MAINT: Update pytest version for Python 3.8 - gh-14512: DOC: random: fix doc linking, was referencing private submodules. - gh-14513: BUG,MAINT: Some fixes and minor cleanup based on clang analysis - gh-14515: BUG: Fix randint when range is 2**32 - gh-14519: MAINT: remove the entropy c-extension module - gh-14563: DOC: remove note about Pocketfft license file (non-existing here). - gh-14578: BUG: random: Create a legacy implementation of random.binomial. - gh-14687: BUG: properly define PyArray_DescrCheck Cheers, Charles Harris

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NumPy Community Meeting Wednesday now...
by Sebastian Berg 16 Oct '19

16 Oct '19

Hi all, I am very sorry, I forgot to send out a reminder yesterday with the sprint going on all day. We will be meeting now, the meeting topics and notes are: https://hackmd.io/76o-IxCjQX2mOXO_wwkcpg?both Best wishes Sebastian

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Deprecate norm of 3d and more ndarrays
by Matti Picus 16 Oct '19

16 Oct '19

np.norm(a, axis=None) where a.ndim > 2 calls np.norm(np.ravel(a)). PR 14719 proposes deprecating this unexpected behavior, with the suggestion that people who need this should call ravel themselves. Thoughts? Matti

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"Spring cleaning" sprint
by Sebastian Berg 16 Oct '19

16 Oct '19

Hi all, we are planning to remote spring to try to reduce the number of open PRs and issues, and do triage work. This is planned for next Tuesday, October 14th, between 9:00 and 15:00 Pacific time. And everyone is invited to join in for as long as you wish. I assume we will have a video chat up and running at: https://berkeley.zoom.us/j/762261535 However, we will send a reminder/logistics email when we start with the sprint. Cheers, Sebastian

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NEP 33 — Array Creation Dispatching With __array_function__
by Peter Andreas Entschev 15 Oct '19

15 Oct '19

Hello everyone, I've put together a new proposal for array creation dispatching with the __array_function__ protocol [1], based on a discussion that occurred some time ago in [2]. It would be great if people could take the time to review and comment on that. [1] https://github.com/numpy/numpy/pull/14715 [2] https://github.com/numpy/numpy/issues/14441 Best regards, Peter

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