NumPy 1.21.6 released

Charles R Harris <[email protected]> Tue, 12 Apr 2022 10:46:33 -0600
Newsgroups gmane.comp.python.numeric.general,gmane.comp.python.scientific.devel,gmane.comp.python.scientific.user
Message-ID <CAB6mnxKLQE0nSvuHpfYXKyok0nDq7ZcxCy+O7bmzS2LkRx8e8Q@mail.gmail.com>
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Hi All,

On behalf of the NumPy team I am pleased to announce the release of NumPy
1.21.6. NumPy 1.21.6 is a very small release that achieves two things:

   - Backs out the mistaken backport of C++ code into 1.21.5.
   - Provides a 32 bit Windows wheel for Python 3.10.

The provision of the 32 bit wheel is intended to make life easier for
oldest-supported-numpy.

The Python versions supported in this release are 3.7-3.10. If you want to
compile your own version using gcc-11 you will need to use gcc-11.2+ to
avoid problems. Wheels can be downloaded from PyPI
<https://pypi.org/project/numpy/1.21.6/>; source archives, release notes,
and wheel hashes are available on Github
<https://github.com/numpy/numpy/releases/tag/v1.21.6>. Linux users will
need pip >= 0.19.3 in order to install manylinux2010 and manylinux2014
wheels. A recent version of pip is needed to install the universal2
macos wheels.

Cheers,

Charles Harris

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<div dir=3D"ltr"><div dir=3D"ltr">Hi All,<br><br>On behalf of the NumPy tea=
m I am pleased to announce the release of NumPy 1.21.6. NumPy 1.21.6 is a v=
ery small release that achieves two things:</div><ul><li>Backs out the mist=
aken backport of C++ code into 1.21.5.</li><li>Provides a 32 bit Windows wh=
eel for Python 3.10.</li></ul>The provision of the 32 bit wheel is intended=
 to make life easier for <font face=3D"monospace">oldest-supported-numpy</f=
ont>.<div><div dir=3D"ltr"><br></div>The Python versions supported in this =
release are 3.7-3.10. If you want to compile your own version using gcc-11 =
you will need to use gcc-11.2+ to avoid problems. Wheels can be downloaded =
from=C2=A0<a href=3D"https://pypi.org/project/numpy/1.21.6/" target=3D"_bla=
nk">PyPI</a>;=C2=A0source archives, release notes, and wheel hashes are ava=
ilable on=C2=A0<a href=3D"https://github.com/numpy/numpy/releases/tag/v1.21=
.6" target=3D"_blank">Github</a>. Linux users will need pip &gt;=3D 0.19.3 =
in order to install manylinux2010 and manylinux2014 wheels. A recent versio=
n of pip is needed to install the universal2 macos=C2=A0wheels.<br></div><d=
iv><br></div><div>Cheers,</div><div><br></div><div>Charles Harris</div></di=
v>

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