Mailman 3 December 2016 - Python-announce-list

NumPy 1.12.0rc1
by Charles R Harris Dec. 19, 2016

Dec. 19, 2016

Hi All, I am pleased to announce the release of NumPy 1.12.0rc1. This release supports Python 2.7 and 3.4 - 3.6 and is the result of 406 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) The release notes are quite sizable and rather than put them inline I've attached them as a file. They may also be viewed at Github <https://github.com/numpy/numpy/releases/tag/v1.12.0rc1>. Zip files and tarballs may also be found the Github link. Wheels and a zip archive are available from PyPI, which is the recommended method of installation. Cheers, Charles Harris

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CoderCruise Conference Announcement
by Heather White Dec. 19, 2016

Dec. 19, 2016

Announcing: The Call for Speakers is open for CoderCruise - a polyglot developer conference taking place on the Carnival Dream cruise ship, leaving from the Port of New Orleans, July 16-23, 2017 CST for a 7 day cruise with stops in Montego Bay, Grand Cayman, and Cozumel. The CfP will remain open until January 6th at 11:59:59pm CST and can be found at https://www.codercruise.com/call-for-speakers/ Thank you! Heather -- Heather White President: One for All Events LLC: www.oneforall.events Conference Co-chair: php[architect]: www.phparch.com One for All Events LLC is an Economically Disadvantaged Women-Owned Small Business

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NumPy 1.11.3 release.
by Charles R Harris Dec. 18, 2016

Dec. 18, 2016

Hi All, I'm please to annouce the release of NumPy 1.11.3. This is a one bug fix release to take care of a bug that could corrupt large files opened in append mode and then used as an argument to ndarray.tofile. Thanks to Pavel Potocek for the fix. Cheers, Chuck -----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 ========================== NumPy 1.11.3 Release Notes ========================== Numpy 1.11.3 fixes a bug that leads to file corruption when very large files opened in append mode are used in ``ndarray.tofile``. It supports Python versions 2.6 - 2.7 and 3.2 - 3.5. Wheels for Linux, Windows, and OS X can be found on PyPI. Contributors to maintenance/1.11.3 ================================== A total of 2 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - - Charles Harris - - Pavel Potocek + Pull Requests Merged ==================== - - `#8341 <https://github.com/numpy/numpy/pull/8341>`__: BUG: Fix ndarray.tofile large file corruption in append mode. - - `#8346 <https://github.com/numpy/numpy/pull/8346>`__: TST: Fix tests in PR #8341 for NumPy 1.11.x Checksums ========= MD5 ~~~ f36503c6665701e1ca0fd2953b6419dd numpy-1.11.3-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl ada01f12b747c0669be00be843fde6dd numpy-1.11.3-cp27-cp27m-manylinux1_i686.whl e3f454dc204b90015e4d8991b12069fb numpy-1.11.3-cp27-cp27m-manylinux1_x86_64.whl cccfb3f765fa2eb4759590467a5f3fb1 numpy-1.11.3-cp27-cp27mu-manylinux1_i686.whl 479c0c8b50ab0ed4acca0a66887fe74c numpy-1.11.3-cp27-cp27mu-manylinux1_x86_64.whl 110b93cc26ca556b075316bee81f8652 numpy-1.11.3-cp27-none-win32.whl 33bfb4c5f5608d3966a6600fa3d7623c numpy-1.11.3-cp27-none-win_amd64.whl 81df8e91c06595572583cd67fcb7d68f numpy-1.11.3-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 194d8903cb3fd3b17af4093089b1a154 numpy-1.11.3-cp34-cp34m-manylinux1_i686.whl 837d9d7c911d4589172d19d0d8fb4eaf numpy-1.11.3-cp34-cp34m-manylinux1_x86_64.whl f6b24305ab3edba245106b49b97fd9d7 numpy-1.11.3-cp34-none-win32.whl 2f3fdd08d9ad43304d67c16182ff92de numpy-1.11.3-cp34-none-win_amd64.whl f90839ad86e3ccda9a409ce93ca1cccc numpy-1.11.3-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 3b2268154e405f895402cbd4cbcaad7a numpy-1.11.3-cp35-cp35m-manylinux1_i686.whl 3d6754274af48c1c19154dd370ddb569 numpy-1.11.3-cp35-cp35m-manylinux1_x86_64.whl f8b64f46cc0e9a3fc877f24efd5e3b7c numpy-1.11.3-cp35-none-win32.whl b1a53851dde805a233e6c4eafe116e82 numpy-1.11.3-cp35-none-win_amd64.whl b8a9dec6901c046edaea706bad1448b1 numpy-1.11.3.tar.gz aa70cd5bba81b78382694d654ed10036 numpy-1.11.3.zip SHA256 ~~~~~~ 5941d3dbd0afed1ecd3746c0371b2a8b79977d084004cc320c2a4cf9d88589d8 numpy-1.11.3-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl ca37b5bebcc4ebde39dfbff0bda69fdc28785a8ff21155fd7adacf473c7b40dd numpy-1.11.3-cp27-cp27m-manylinux1_i686.whl 276cbb35b69eb2f0d5f264b7c71bdc1f4e91ecd3125d32cd1839873268239892 numpy-1.11.3-cp27-cp27m-manylinux1_x86_64.whl 1226e259d796207e8ef36762dce139e7da1cc0bb78f5d54e739252acd07834e5 numpy-1.11.3-cp27-cp27mu-manylinux1_i686.whl 674d0c1318890357f27ce3a8939e643eaf55140cfb8e84730aeee1dd769b0c21 numpy-1.11.3-cp27-cp27mu-manylinux1_x86_64.whl f8b30c76e0f805da7ea641f52c3f6bade55d50a0767f9c89c50e4c42b2a1b34c numpy-1.11.3-cp27-none-win32.whl 8cd184b0341e1db3a5619c85f875ce511ef0eb7ec01ec320116959a3de77f1b8 numpy-1.11.3-cp27-none-win_amd64.whl f0824beb03aff58d4062508b1dd4f737f08f5d2369f25a73c2350fe081beab2c numpy-1.11.3-cp34-cp34m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl 9e4228ac322743dea101a90305ee6d54b4bf82f15d6499e55d1d9cef17bccdbb numpy-1.11.3-cp34-cp34m-manylinux1_i686.whl 195604fc19a9333f3342fcad93094b6a21bc6e6b28d7bfec14d120cb4391a032 numpy-1.11.3-cp34-cp34m-manylinux1_x86_64.whl 71a6aa8b8c9f666b541208d38b30c84df1666e4cc02fb33b59086aaea10affad numpy-1.11.3-cp34-none-win32.whl 135586ce1966dbecd9494ba30cb9beca93fad323ef9264c21efc2a0b59e449d2 numpy-1.11.3-cp34-none-win_amd64.whl cca8af884cbf220656ca2f8f9120a634e5cfb5fdcb0a21fd83ec279cc4f46654 numpy-1.11.3-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl ab810c942ead3f5988a7bef95dc6e85b586b6e814b83d571dfbca879e245bd45 numpy-1.11.3-cp35-cp35m-manylinux1_i686.whl 7c6eb737dc3d53977c558d57625dfbecd9900a5807ff17edd6842a102cb95c3b numpy-1.11.3-cp35-cp35m-manylinux1_x86_64.whl ab2af03dabecb97de27badfa944c56d799774a1fa975d52083197bb81858b742 numpy-1.11.3-cp35-none-win32.whl dd1800ec19192fd853bc255917eb3ecb34de268551b9c561f36d089023883807 numpy-1.11.3-cp35-none-win_amd64.whl 6e89f41217028452977cddb2a6c614e2210214bf3efb8494e7a9137b26985d41 numpy-1.11.3.tar.gz 2e0fc5248246a64628656fe14fcab0a959741a2820e003bd15538226501b82f7 numpy-1.11.3.zip -----BEGIN PGP SIGNATURE----- iQEcBAEBAgAGBQJYVz6CAAoJEGefIoN3xSR7PUsH/iK2boFNPG2x6RQ2bIvYW/eC iDw5Aewhv5VJRch8QUDAJAVX228Zw4rKY4mxgyXMBvd2ZGL0+E6lMSlooK9r4Sz+ y+lnHyWFc1UjxgQla46TUV77l8PBMjXUKgPQl+Whp8YYwqKd5Q1ZYmDcbNwuNZNc lw7aRcVMF2/hv02B+SYaxp2eo7VQVYf6OJQ3a2Ya8bdLUr2M5kUbVeUk4fpUhQXT FX3E0jFlxELm3y6YkC3mxgyp9kAOOn0d2M7y9IjufOaj7F+oCg+uHMfPTK6EqnoU 7T08Hy8TSdyoUY4ueRsoj3Ns/iwaM88iR133A4UR7vbNkaIDkVhCE/isrdvwbwk= =SJME -----END PGP SIGNATURE-----

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[Release] Pyo 0.8.2 (Python dsp library)
by Olivier Bélanger Dec. 17, 2016

Dec. 17, 2016

Hello all, I'm glad to announce the release of pyo 0.8.2, available for python 2.7 and 3.5. Pyo is a Python module written in C to help real-time digital signal processing script creation. It is available for Windows, macOS and linux. It is released under the LGPL 3 license. For more info, downloads and other links, see the official web site: http://ajaxsoundstudio.com/software/pyo/ The documentation: http://ajaxsoundstudio.com/pyodoc/ For the latest sources and bug tracker: https://github.com/belangeo/pyo What's new: - Fixed latency issue when using portaudio as audio backend. - TrigFunc and Pattern now accept a tuple as "arg" argument (fixed issue #90). - E-Pyo: Fixed a bug in the documentation window. - Fixed midi input events handling. - Set interpolation to off by default for midi continuous controllers. Olivier Belanger belangeo(a)gmail.com http://olivier.ajaxsoundstudio.com/ ---- P><A HREF="http://ajaxsoundstudio.com/software/pyo/">Pyo 0.8.1</A> Python DSP library. (17-Dec-16)

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[RELEASE] Python 2.7.13
by Benjamin Peterson Dec. 17, 2016

Dec. 17, 2016

It is my pleasure to announce the release of Python 2.7.13, the latest bugfix release of the venerable Python 2.7 series. This release incorporates conservative bugfixes as well as improvements to keep Python 2.7 running on modern systems. The only change from the 2.7.13 release candidate 2 weeks ago is the revert of a change that broke backwards compatibility with some rare C extension patterns. See https://bugs.python.org/issue5322 for more details. Source archives and binaries are available at https://www.python.org/downloads/release/python-2713/ Please report bugs to our tracker: https://bugs.python.org/ 2.7.14 will appear mid-2017. All the best in the new year, Benjamin Peterson 2.7 release manager

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[RELEASE] Python 3.6.0rc2 is now available
by Ned Deily Dec. 16, 2016

Dec. 16, 2016

On behalf of the Python development community and the Python 3.6 release team, I would like to announce the availability of Python 3.6.0rc2. 3.6.0rc2 is the second release candidate for Python 3.6, the next major release of Python. Code for 3.6.0 is now frozen. 3.6.0rc2 is the same code base as the first release candidate, 3.6.0rc1, with the addition of fixes for a couple of critical problems and with some documentation additions and updates. Assuming no further release critical problems are found prior to the 3.6.0 final release date, now planned for 2016-12-23, the 3.6.0 final release will be the same code base as this 3.6.0rc2. Maintenance releases for the 3.6 series will follow at regular intervals starting in the first quarter of 2017. Among the new major new features in Python 3.6 are: * PEP 468 - Preserving the order of **kwargs in a function * PEP 487 - Simpler customization of class creation * PEP 495 - Local Time Disambiguation * PEP 498 - Literal String Formatting * PEP 506 - Adding A Secrets Module To The Standard Library * PEP 509 - Add a private version to dict * PEP 515 - Underscores in Numeric Literals * PEP 519 - Adding a file system path protocol * PEP 520 - Preserving Class Attribute Definition Order * PEP 523 - Adding a frame evaluation API to CPython * PEP 524 - Make os.urandom() blocking on Linux (during system startup) * PEP 525 - Asynchronous Generators (provisional) * PEP 526 - Syntax for Variable Annotations (provisional) * PEP 528 - Change Windows console encoding to UTF-8 * PEP 529 - Change Windows filesystem encoding to UTF-8 * PEP 530 - Asynchronous Comprehensions Please see "What’s New In Python 3.6" for more information: https://docs.python.org/3.6/whatsnew/3.6.html You can find Python 3.6.0rc2 here: https://www.python.org/downloads/release/python-360rc2/ Note that 3.6.0rc2 is still a preview release and thus its use is not recommended for production environments. More information about the release schedule can be found here: https://www.python.org/dev/peps/pep-0494/ -- Ned Deily nad(a)python.org -- []

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PyKMIP 0.6.0
by Peter Hamilton Dec. 14, 2016

Dec. 14, 2016

I am pleased to announce the release of PyKMIP 0.6.0. PyKMIP is a Python implementation of the Key Management Interoperability Protocol (KMIP), a communications protocol for the storage and maintenance of keys, certificates, and other secret objects. PyKMIP provides clients for conducting key management operations against KMIP appliances and a software server application for testing and demonstration. The library is licensed under Apache 2.0 and supports Python 2.6, 2.7, 3.3-3.5. Changelog: * Add support for Python 3.5 * Add support for the State and OperationPolicyName attributes * Add server support for the Activate and GetAttributes operations * Add server support for certificate-based client authentication * Add server support for object access control via operation policies * Add server support for loading of user-defined operation policies * Add client support for the GetAttributes operation * Update clients to support operation policy names with objects * Update ProxyKmipClient to support names when creating new objects * Remove coveralls integration * Fix bug with early server termination on missing request credential * Fix bug with closing the client while unconnected to a server * Fix bug with default values overriding server config file settings * Fix bug with early server termination on bad client certificates * Fix bug with deprecated usage of the bandit config file * Fix bug with ProxyKmipClient registering unset object attributes GitHub: https://github.com/OpenKMIP/PyKMIP PyPI: https://pypi.python.org/pypi/PyKMIP/0.6.0 <https://pypi.python.org/pypi/PyKMIP/0.5.0> IRC: #pykmip on freenode.net Thanks to all of the contributors for their time and effort. Cheers, Peter Hamilton

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PyCA cryptography 1.7.1
by Paul Kehrer Dec. 13, 2016

Dec. 13, 2016

PyCA cryptography 1.7.1 has been released to PyPI. This is a small bug fix release. Changelog: * Fixed a regression in int_from_bytes where it failed to accept bytearray. -Paul Kehrer (reaperhulk)

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Sphinx-1.5.1 has been released
by Komiya Takeshi Dec. 13, 2016

Dec. 13, 2016

Hi all, I'm delighted to announce the release of Sphinx 1.5.1, now available on the Python package index at <http://pypi.python.org/pypi/Sphinx>. It includes about 1 new feature and 11 bug fixes for the 1.5 release series. For the full changelog, go to <http://www.sphinx-doc.org/en/stable/changes.html>. Thanks to all collaborators and contributers! What is it? =========== Sphinx is a tool that makes it easy to create intelligent and beautiful documentation for Python projects (or other documents consisting of multiple reStructuredText source files). Website: http://sphinx-doc.org/ IRC: #sphinx-doc on irc.freenode.net Enjoy! -- Takeshi KOMIYA

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PyCA/cryptography 1.7 released
by Paul Kehrer Dec. 12, 2016

Dec. 12, 2016

PyCA cryptography 1.7 has been released to PyPI. cryptography is a package which provides cryptographic recipes and primitives to Python developers. Our goal is for it to be your "cryptographic standard library". We support Python 2.6-2.7, Python 3.3+, and PyPy. Changelog (https://cryptography.io/en/latest/changelog/#id1): * Support for OpenSSL 1.0.0 has been removed. Users on older version of OpenSSL will need to upgrade. * Added support for Diffie-Hellman key exchange using exchange() * The OS random engine for OpenSSL has been rewritten to improve compatibility with embedded Python and other edge cases. More information about this change can be found in the pull request. Thanks to everyone who helped with this release! The upcoming cryptography 1.8 will (among other features) switch our static wheels to link against OpenSSL 1.1.0. -Paul Kehrer (reaperhulk)

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