[Numpy-discussion] NumPy 1.12.0b1 released
nathan12343 at gmail.com
Fri Nov 18 09:46:41 EST 2016
Since the NumPy API is forwards compatible, you should use the oldest
version of NumPy you would like to support to build your wheels with. The
wheels will then work with any future NumPy versions.
On Fri, Nov 18, 2016 at 9:30 AM Peter Cock <p.j.a.cock at googlemail.com>
> 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?
> On Thu, Nov 17, 2016 at 11:24 PM, Matti Picus <matti.picus at gmail.com>
> > 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-request at scipy.org wrote:
> >> Date: Wed, 16 Nov 2016 22:47:39 -0700
> >> From: Charles R Harris<charlesr.harris at gmail.com>
> >> To: numpy-discussion<numpy-discussion at scipy.org>, SciPy Users List
> >> <scipy-user at scipy.org>, SciPy Developers
> >> List<scipy-dev at scipy.org>,
> >> python-announce-list at 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
> >> 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
> >> speed improvements.
> >> - New ``signature`` argument to ``np.vectorize`` for vectorizing
> >> core dimensions.
> >> - The ``keepdims`` argument was added to many functions.
> >> - Support for PyPy 2.7 v5.6.0 has been added. While not complete,
> >> is a milestone for PyPy's C-API compatibility layer.
> >> Thanks to all,
> >> Chuck
> > _______________________________________________
> > NumPy-Discussion mailing list
> > NumPy-Discussion at scipy.org
> > https://mail.scipy.org/mailman/listinfo/numpy-discussion
> NumPy-Discussion mailing list
> NumPy-Discussion at scipy.org
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the NumPy-Discussion