[Numpy-discussion] NumPy 1.12.0b1 released

Matti Picus matti.picus at gmail.com
Thu Nov 17 18:24:19 EST 2016


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 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




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