I have a related question to Matti's, Do you have any recommendations for building standard wheels for 3rd party Python libraries which use both the NumPy Python and C API?
e.g. Do we need to do anything special given the NumPy C API itself is versioned? Does it matter compiler chain should we use? Thanks Peter On Thu, Nov 17, 2016 at 11:24 PM, Matti Picus <matti.pi...@gmail.com> wrote: > Congrats to all on the release.Two questions: > > Is there a guide to building standard wheels for NumPy? > > Assuming I can build standardized PyPy 2.7 wheels for Ubuntu, Win32 and > OSX64, how can I get them blessed and uploaded to PyPI? > > Matti > > > On 17/11/16 07:47, numpy-discussion-requ...@scipy.org wrote: >> >> Date: Wed, 16 Nov 2016 22:47:39 -0700 >> From: Charles R Harris<charlesr.har...@gmail.com> >> To: numpy-discussion<numpy-discussion@scipy.org>, SciPy Users List >> <scipy-u...@scipy.org>, SciPy Developers >> List<scipy-...@scipy.org>, >> python-announce-l...@python.org >> Subject: [Numpy-discussion] NumPy 1.12.0b1 released. >> >> Hi All, >> >> I'm pleased to annouce the release of NumPy 1.12.0b1. This release >> supports Python 2.7 and 3.4 - 3.6 and is the result of 388 pull requests >> submitted by 133 contributors. It is quite sizeable and rather than put >> the >> release notes inline I've attached them as a file and they may also be >> viewed at Github<https://github.com/numpy/numpy/releases/tag/v1.12.0b1>. >> Zip files and tarballs may also be found the Github link. Wheels and >> source >> archives may be downloaded from PyPI, which is the recommended method. >> >> This release is a large collection of fixes, enhancements, and >> improvements >> and it is difficult to select just a few as highlights. However, the >> following enhancements may be of particular interest >> >> - Order of operations in ``np.einsum`` now can be optimized for large >> speed improvements. >> - New ``signature`` argument to ``np.vectorize`` for vectorizing with >> core dimensions. >> - The ``keepdims`` argument was added to many functions. >> - Support for PyPy 2.7 v5.6.0 has been added. While not complete, this >> is a milestone for PyPy's C-API compatibility layer. >> >> Thanks to all, >> >> Chuck > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
