[Python-announce] NumPy 1.22.2 released

2022-02-03 Thread Charles R Harris 
Hi All,

On behalf of the NumPy team, I'm pleased to announce the release of NumPy
1.22.2. NumPy 1.22.2 fixes several bugs discovered after the 1.22.1
release. Notable fixes are:

   - Build related fixes for downstream projects and other platforms.
   - Various annotation fixes/additions.
   - Fixes for the CVE-2021-41495 complaint.
   - Toolchain fixes on Windows. Numpy wheels now use the 1.41 tool chain,
   fixing downstream link problems for projects using NumPy provided libraries
   on Windows.

Note that OSX wheels are provided for both the x86_64 and arm64
architectures, but there are no universal2 wheels. The minimum supported OS
X version is now 10.14 for the former and 11.0 for the latter. The Python
versions supported in this release are 3.8-3.10.  Wheels can be downloaded
from PyPI ; source archives, release
notes, and wheel hashes are available on Github
. Linux users will
need pip >= 0.19.3 in order to install the manylinux2014 wheels.

*Contributors*

A total of 14 people contributed to this release.  People with a "+" by
their names contributed a patch for the first time.

   - Andrew J. Hesford +
   - Bas van Beek
   - Brénainn Woodsend +
   - Charles Harris
   - Hood Chatham
   - Janus Heide +
   - Leo Singer
   - Matti Picus
   - Mukulika Pahari
   - Niyas Sait
   - Pearu Peterson
   - Ralf Gommers
   - Sebastian Berg
   - Serge Guelton

*Pull requests merged*

A total of 21 pull requests were merged for this release.

   - #20842: BLD: Add NPY_DISABLE_SVML env var to opt out of SVML
   - #20843: BUG: Fix build of third party extensions with Py_LIMITED_API
   - #20844: TYP: Fix pyright being unable to infer the ``real`` and
   ``imag``...
   - #20845: BUG: Fix comparator function signatures
   - #20906: BUG: Avoid importing ``numpy.distutils`` on import
   numpy.testing
   - #20907: MAINT: remove outdated mingw32 fseek support
   - #20908: TYP: Relax the return type of ``np.vectorize``
   - #20909: BUG: fix f2py's define for threading when building with Mingw
   - #20910: BUG: distutils: fix building mixed C/Fortran extensions
   - #20912: DOC,TST: Fix Pandas code example as per new release
   - #20935: TYP, MAINT: Add annotations for ``flatiter.__setitem__``
   - #20936: MAINT, TYP: Added missing where typehints in
   ``fromnumeric.pyi``
   - #20937: BUG: Fix build_ext interaction with non numpy extensions
   - #20938: BUG: Fix missing intrinsics for windows/arm64 target
   - #20945: REL: Prepare for the NumPy 1.22.2 release.
   - #20982: MAINT: f2py: don't generate code that triggers
   ``-Wsometimes-uninitialized``.
   - #20983: BUG: Fix incorrect return type in reduce without initial value
   - #20984: ENH: review return values for PyArray_DescrNew
   - #20985: MAINT: be more tolerant of setuptools >= 60
   - #20986: BUG: Fix misplaced return.
   - #20992: MAINT: Further small return value validation fixes

Cheers,

Charles Harris
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[Python-announce] [RELEASE] Python 3.11.0a5 is available

2022-02-03 Thread Pablo Galindo Salgado 
We needed to tame some angry buildbots, but after a small fight, we won
with just some scratches! Here you have a shiny new alpha release: Python
3.11.0a5.

https://www.python.org/downloads/release/python-3110a5/

**This is an early developer preview of Python 3.11**

# Major new features of the 3.11 series, compared to 3.10

Python 3.11 is still in development.  This release, 3.11.0a5 is the fifth
of seven planned alpha releases.

Alpha releases are intended to make it easier to test the current state of
new features and bug fixes and to test the release process.

During the alpha phase, features may be added up until the start of the
beta phase (2022-05-06) and, if necessary, may be modified or deleted up
until the release candidate phase (2022-08-01).  Please keep in mind that
this is a preview release and its use is **not** recommended for production
environments.

Many new features for Python 3.11 are still being planned and written.
Among the new major new features and changes so far:

* [PEP 657](https://www.python.org/dev/peps/pep-0657/) -- Include
Fine-Grained Error Locations in Tracebacks
* [PEP 654](https://www.python.org/dev/peps/pep-0654/) -- Exception Groups
and except*
* [PEP 673](https://www.python.org/dev/peps/pep-0673/)  -- Self Type
* [PEP 646](https://www.python.org/dev/peps/pep-0646/)-- Variadic Generics
* The [Faster Cpython Project](https://github.com/faster-cpython) is
already yielding some exciting results: this version of CPython 3.11 is
~12% faster on the geometric mean of the [PyPerformance benchmarks](
speed.python.org), compared to 3.10.0.
 * Hey, **fellow core developer,** if a feature you find important is
missing from this list, let me know.

The next pre-release of Python 3.11 will be 3.11.0a6, currently scheduled
for Monday, 2022-02-28.

# More resources

* [Online Documentation](https://docs.python.org/3.11/)
* [PEP 664](https://www.python.org/dev/peps/pep-0664/), 3.11 Release
Schedule
* Report bugs at [https://bugs.python.org](https://bugs.python.org).
* [Help fund Python and its community](/psf/donations/).

# And now for something completely different

In physics, the Poynting vector (Umov-Poynting vector) represents the
directional energy flux (the energy transfer per unit area per unit time)
or power flow of an electromagnetic field. It is named after its discoverer
John Henry Poynting who first derived it in 1884. Oliver Heaviside also
discovered it independently in the more general form that recognises the
freedom of adding the curl of an arbitrary vector field to the definition.
The Poynting vector is used throughout electromagnetics in conjunction with
Poynting’s theorem, the continuity equation expressing conservation of
electromagnetic energy, to calculate the power flow in electromagnetic
fields.

# We hope you enjoy those new releases!

Thanks to all of the many volunteers who help make Python Development and
these releases possible! Please consider supporting our efforts by
volunteering yourself or through organization contributions to the Python
Software Foundation.

Your friendly release team,
Pablo Galindo @pablogsal
Ned Deily @nad
Steve Dower @steve.dower
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[Python-announce] Wing Python IDE version 8.1.3 has been released

2022-02-03 Thread Wingware 
Wing 8.1.3 adds support for using Unreal Engine with Wing, writes a 
preconfigured wingdbstub.py when creating new projects, expands Run 
Arguments and other dialog fields, correctly finds printers on Linux, 
and fixes a number of code analysis problems and other minor issues.


Details: https://wingware.com/news/2022-02-01
Downloads: https://wingware.com/downloads

== About Wing ==

Wing is a light-weight but full-featured Python IDE designed 
specifically for Python, with powerful editing, code inspection, 
testing, and debugging capabilities. Wing's deep code analysis provides 
auto-completion, auto-editing, and refactoring that speed up 
development. Its top notch debugger works with any Python code, locally 
or on a remote host, container, or cluster. Wing also supports 
test-driven development, version control, UI color and layout 
customization, and includes extensive documentation and support.


Wing is available in three product levels:  Wing Pro is the 
full-featured Python IDE for professional developers, Wing Personal is a 
free Python IDE for students and hobbyists (omits some features), and 
Wing 101 is a very simplified free Python IDE for beginners (omits many 
features).


Learn more at https://wingware.com/

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