ANN: SciPy 1.2.1

[Tyler Reddy]

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Hi all,

On behalf of the SciPy development team I'm pleased to announce
the release of SciPy 1.2.1, which is a bug fix release.

Sources and binary wheels can be found at:
https://pypi.org/project/scipy/
and at: https://github.com/scipy/scipy/releases/tag/v1.2.1

One of a few ways to install this release with pip:

pip install scipy==1.2.1

==========================
SciPy 1.2.1 Release Notes
==========================

SciPy 1.2.1 is a bug-fix release with no new features compared to 1.2.0.
Most importantly, it solves the issue that 1.2.0 cannot be installed
from source on Python 2.7 because of non-ASCII character issues.

It is also notable that SciPy 1.2.1 wheels were built with OpenBLAS
0.3.5.dev, which may alleviate some linear algebra issues observed
in SciPy 1.2.0.

Authors
=======

* Eric Larson
* Mark Mikofski
* Evgeni Burovski
* Ralf Gommers
* Eric Moore
* Tyler Reddy

Issues closed for 1.2.1
------------------------

* `#9606 <https://github.com/scipy/scipy/issues/9606>`__: SyntaxError:
Non-ASCII character '\xe2' in file scipy/stats/_continuous_distns.py on
line 3346, but no encoding declared
* `#9608 <https://github.com/scipy/scipy/issues/9608>`__: Version 1.2.0
introduces `too many indices for array` error in...
* `#9709 <https://github.com/scipy/scipy/issues/9709>`__:
scipy.stats.gaussian_kde normalizes the weights keyword argument...
* `#9733 <https://github.com/scipy/scipy/issues/9733>`__:
scipy.linalg.qr_update gives NaN result
* `#9724 <https://github.com/scipy/scipy/issues/9724>`__: CI: Is
scipy.scipy Windows Python36-32bit-full working?

Pull requests for 1.2.1
------------------------

* `#9612 <https://github.com/scipy/scipy/pull/9612>`__: BUG: don't use
array newton unless size is greater than 1
* `#9615 <https://github.com/scipy/scipy/pull/9615>`__: ENH: Add test for
encoding
* `#9720 <https://github.com/scipy/scipy/pull/9720>`__: BUG: stats:
weighted KDE does not modify the weights array
* `#9739 <https://github.com/scipy/scipy/pull/9739>`__: BUG: qr_updates
fails if u is exactly in span Q
* `#9725 <https://github.com/scipy/scipy/pull/9725>`__: TST: pin mingw for
Azure Win CI
* `#9736 <https://github.com/scipy/scipy/pull/9736>`__: TST: adjust to
vmImage dispatch in Azure
* `#9681 <https://github.com/scipy/scipy/pull/9681>`__: BUG: Fix failing
stats tests (partial backport)
* `#9662 <https://github.com/scipy/scipy/pull/9662>`__: TST: interpolate:
avoid pytest deprecations

Checksums
=========

MD5
~~~

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~~~~~~

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