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
