Mailman 3 January 2017 - Python-announce-list

Vulture 0.12
by news＠news.bbs.geek.nz Jan. 5, 2017

Jan. 5, 2017

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
by Wolfgang Jan. 4, 2017

Jan. 4, 2017

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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StdConfigParser 1.0 release
by news＠news.bbs.geek.nz Jan. 4, 2017

Jan. 4, 2017

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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[RELEASED] Python 3.4.6rc1 and Python 3.5.3rc1 are now available
by Larry Hastings Jan. 3, 2017

Jan. 3, 2017

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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[RELEASED] Python 3.4.6rc1 and Python 3.5.3rc1 are now available
by news＠news.bbs.geek.nz Jan. 2, 2017

Jan. 2, 2017

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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NumPy 1.12.0rc2 release.
by Charles R Harris Jan. 2, 2017

Jan. 2, 2017

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 <https://pypi.python.org/pypi?%3Aaction=pkg_edit&name=numpy>, the tarball and zip files may be downloaded from Github <https://github.com/numpy/numpy/releases/tag/v1.12.0rc2>. The release notes and files hashes may also be found at Github <https://github.com/numpy/numpy/releases/tag/v1.12.0rc2> . 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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NumPy 1.12.0rc2 release.
by news＠news.bbs.geek.nz Jan. 1, 2017

Jan. 1, 2017

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 <https://pypi.python.org/pypi?%3Aaction=pkg_edit&name=numpy>, the tarball and zip files may be downloaded from Github <https://github.com/numpy/numpy/releases/tag/v1.12.0rc2>. The release notes and files hashes may also be found at Github <https://github.com/numpy/numpy/releases/tag/v1.12.0rc2> . 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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