Great news, as always, thanks for your relentless effort Chuck!

- Sebastian


On Tue, 2018-02-20 at 18:21 -0700, Charles R Harris wrote:
> Hi All,
> 
> On behalf of the NumPy team, I am pleased to announce NumPy
> 1.14.1. This is a bugfix release for some problems reported following
> the 1.14.0 release. The major problems fixed are the following.
> Problems with the new array printing, particularly the printing of
> complex values, Please report any additional problems that may turn
> up.
> 
> Problems with ``np.einsum`` due to the new ``optimized=True``
> default. Some fixes for optimization have been applied and
> ``optimize=False`` is now the default.
> 
> The sort order in ``np.unique`` when ``axis=<some-number>`` will now
> always be lexicographic in the subarray elements. In previous NumPy
> versions there was an optimization that could result in sorting the
> subarrays as unsigned byte strings.
> 
> The change in 1.14.0 that multi-field indexing of structured arrays
> returns a view instead of a copy has been reverted but remains on
> track for NumPy 1.15. Affected users should read the 1.14.1 Numpy
> User Guide section "basics/structured arrays/accessing multiple
> fields" for advice on how to manage this transition.
> This release supports Python 2.7 and 3.4 - 3.6. Wheels for the
> release are available on PyPI. Source tarballs, zipfiles, release
> notes, and the changelog are available on github.
> 
> Contributors
> 
> A total of 14 people contributed to this release.  People with a "+"
> by their names contributed a patch for the first time.
> 
> * Allan Haldane
> * Charles Harris
> * Daniel Smith
> * Dennis Weyland +
> * Eric Larson
> * Eric Wieser
> * Jarrod Millman
> * Kenichi Maehashi +
> * Marten van Kerkwijk
> * Mathieu Lamarre
> * Sebastian Berg
> * Simon Conseil
> * Simon Gibbons
> * xoviat
> 
> Cheers,
> 
> Charles Harris
> _______________________________________________
> NumPy-Discussion mailing list
> NumPy-Discussion@python.org
> https://mail.python.org/mailman/listinfo/numpy-discussion

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