[RELEASED] Python 3.4.6rc1 and Python 3.5.3rc1 are now available

[Larry Hastings]

On behalf of the Python development community and the Python 3.4 and 
Python 3.5 release teams, I'm pleased to announce the availability of 
Python 3.4.6rc1 and Python 3.5.6rc1.


Python 3.4 is now in "security fixes only" mode.  This is the final 
stage of support for Python 3.4.  Python 3.4 now only receives security 
fixes, not bug fixes, and Python 3.4 releases are source code only--no 
more official binary installers will be produced.


Python 3.5 is still in active "bug fix" mode.  Python 3.5.3rc1 contains 
many incremental improvements over Python 3.5.2.


Both these releases are "release candidates".  They should not be 
considered the final releases, although the final releases should 
contain only minor differences.  Python users are encouraged to test 
with these releases and report any problems they encounter.



You can find Python 3.4.6rc1 here:

   https://www.python.org/downloads/release/python-346rc1/

And you can find Python 3.5.3rc1 here:

   https://www.python.org/downloads/release/python-353rc1/


Python 3.4.6 final and Python 3.5.3 final are both scheduled for release 
on January 16th, 2017.



Happy New Year,


//arry/
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Vulture 0.12

[Jendrik Seipp]

vulture - Find dead code


Vulture finds unused classes, functions and variables in your code.
This helps you cleanup and find errors in your programs. If you run it
on both your library and test suite you can find untested code.

Due to Python's dynamic nature, static code analyzers like vulture are
likely to miss some dead code. Also, code that is only called
implicitly may be reported as unused. Nonetheless, vulture can be a
helpful tool for higher code quality.


Download

http://pypi.python.org/pypi/vulture


Features

* fast: uses static code analysis
* lightweight: only one module
* tested: tests itself and has 100% test coverage
* complements pyflakes and has the same output syntax
* supports Python 2.6, 2.7 and 3.x


News

* Detect unused imports.
* Use tokenize.open() on Python >= 3.2 for reading input files, assume
  UTF-8 encoding on older Python versions.


Cheers,
Jendrik





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StdConfigParser 1.0 release

[Wolfgang]

Announcing the release of StdConfigParser 1.0


What is it?
---

This is the Python configparser with an extra class StdConfigParser.
The StdConfigParser class uses specified parameters to initialize
the Python ConfigParser and adds some useful converters.
The result is a simple well defined syntax for the INI file.
See it as a preconfigured ConfigParser class for you.
It allows interoperability in configuration between different projects.

Also contains everything to be a full backport of the configparser 
module from Python 3.5 to Python 2.7, 3.3, 3.4.


Everything in one module easy to vendor or install no extra dependencies.


Note


Even if you don't need the additional class StdConfigParser this module
is useful as a backport of the ConfigParser class with the features from 
Python 3.5 to older Python versions.
All in one file without the namespace or ".pth" problems of other 
backports. Also easy to vendor!



What's new in 1.0
-

- Support Python 3.6
- Improve stability in error cases. Test improved error reporting.



Links
-

- Download: https://pypi.python.org/pypi/StdConfigParser
- Source: https://github.com/tds333/stdconfigparser
- Documentation: http://stdconfigparser.readthedocs.io/en/latest/index.html



Kind regards,

Wolfgang
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NumPy 1.12.0rc2 release.

[Charles R Harris]

Hi All,

I'm pleased to announce the NumPy 1.12.0rc2 New Year's release. This
release supports Python 2.7 and 3.4-3.6. Wheels for all supported Python
versions may be downloaded from PiPY
, the tarball
and zip files may be downloaded from Github
. The release notes
and files hashes may also be found at Github
 .

NumPy 1.12.0rc 2 is the result of 413 pull requests submitted by 139
contributors and comprises a large number of fixes and improvements. Among
the many improvements it is difficult to  pick out just a few as standing
above the others, but the following may be of particular interest or
indicate areas likely to have future consequences.

* Order of operations in ``np.einsum`` can now 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.
* New context manager for testing warnings
* Support for BLIS in numpy.distutils
* Much improved support for PyPy (not yet finished)

Enjoy,

Chuck
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