Mailman 3 July 2017 - Python-announce-list

wxPython 4.0.0b1
by Robin Dunn July 25, 2017

July 25, 2017

Announcing wxPython 4.0.0b1 =========================== PyPI: https://pypi.python.org/pypi/wxPython/4.0.0b1 Extras: https://extras.wxPython.org/wxPython4/extras/ Changes in this release include the following: * Various little tweaks and fixes in some of the demo samples. * Fixes in wx.lib.imagebrowser so it looks and acts better on OSX. * Fixed problem due to wxModules not being initialized when non-core extensions are imported. * Fixed issue in wx.TreeItemId comparison methods affecting PyCrust and other tools. * Restore the simplified names for the wxGridSelectionModes enum that were present in Classic. * Add accessors for the internal widgets in the wx.EditableListBox. * Fixes in wx.lib.eventwatcher to avoid deprecated methods and other Phoenix related changes. * Correctly transfer ownership of the input stream in wx.FSFile. * Ensure the license files are getting into the source tarball and the binary wheel files. * Add wrappers for the classes derived from wxImageHandler. * Fix wx.lib.plot.polyline to not attempt to draw the spline if there are less than 3 points. * Transfer the ownership of the prop arg in wx.propgrid.PGProperty.AddChild and AddPrivateChild. Various other fixes in wx.propgrid classes for backwards compatibility and to fix problems caused by mismatches between customizations that were done for Classic and how Phoenix does things by default. Also solved some problems in the PropertyGrid sample in the demo. * Add missing HtmlCell.FindCellByPos. * Enhance the DLG_UNIT convenience function such that if something other than a wx.Point or wx.Size was passed in then the return value will be a tuple. This eliminates some surprises that are possible due to auto-conversion of tuples to points or sizes. What is wxPython? ----------------- wxPython is a cross-platform GUI toolkit for the Python programming language. It allows Python programmers to create programs with a robust, highly functional graphical user interface, simply and easily. It is implemented as a set of Python extension modules that wrap the GUI components of the popular wxWidgets cross platform library, which is written in C++. Supported platforms are Microsoft Windows, Mac OS X and macOS, and Linux or other unix-like systems with GTK2 or GTK3 libraries. In most cases the native widgets are used on each platform to provide a 100% native look and feel for the application. What is wxPython Phoenix? ------------------------- wxPython's Project Phoenix is a new from-the-ground-up implementation of wxPython, created with the intent of making wxPython “better, stronger, faster than he was before.” In other words, this new implementation is focused on improving speed, maintainability and extensibility of wxPython, as well as removing most of the cruft that had accumulated over the long life of Classic wxPython. The project has been in development off and on, mostly behind the scenes, for many years. For the past few years automated snapshot builds have been available for those adventurous enough to try it, and many people eventually started using the snapshots in their projects, even for production releases. While there are still some things on the periphery that need to be completed, the core of the new wxPython extension modules which wrap the wxWidgets code has been stable for a long time now. Due to some things being cleaned up, reorganized, simplified and dehackified wxPython Phoenix is not completely backwards compatible with wxPython Classic. This is intended. In general, however, the API differences tend to be minor and some applications can use Phoenix with slight, or even no modifications. In some other cases the correct way to do things was also available in Classic and it's only the wrong way that has been removed from Phoenix. For more information there is a Migration Guide document available at: https://docs.wxpython.org/MigrationGuide.html The new wxPython API reference documentation, including all Python-specific additions and customizations, and docs for the wx.lib package, is located at: https://docs.wxpython.org/ Happy Hacking! -- Robin Dunn Software Craftsman http://wxPython.org

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cx_Oracle 6.0rc2
by Anthony Tuininga July 24, 2017

July 24, 2017

What is cx_Oracle? cx_Oracle is a Python extension module that enables access to Oracle Database for Python 3.x and 2.x and conforms to the Python database API 2.0 specifications with a number of enhancements. Where do I get it? https://oracle.github.io/python-cx_Oracle The easiest method to install cx_Oracle 6.0rc1 is via pip as in python -m pip install cx_Oracle --upgrade --pre Note that the --pre option is required since this is a prerelease. What's new? This release continues to focus on correcting issues discovered over the past month and polishing items in preparation for a production release. The full release notes can be read here: http://cx-oracle.readthedocs.io/en/latest/releasenotes.html#version-6-0-rc-… Please provide any feedback via GitHub issues (https://github.com/oracle/ python-cx_Oracle/issues).

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Your feedback on our free Advanced Python tutorial
by Aude Barral, CodinGame July 19, 2017

July 19, 2017

Hi everyone, I am co-founder of a startup called CodinGame. A few days ago we've launched a project: Tech.io <https://tech.io/>. It's a free knowledge-sharing platform that allows tech professionals to learn new programming concepts through hands-on content crafted by volunteers in the community. Everything runs on our backend. Our system relies on Docker images so we can play tutorials and demos of virtually any technology from the browser. So why this project? Because as more and more resources over the Internet now need to be paid for (Udacity, Udemy, etc), we want to foster free online technology education thanks to peer learning. In a sense, we'd like to become some kind of Wikipedia for tech. One of the first tutorials our contributors published is about Advanced Python Features (hope more will be published soon!): https://tech.io/play grounds/500/advanced-python-features/advanced-python-features I have 2 questions for you: - Do you think this tutorial could be helpful to your Python user community? - Would you be willing to help us spread the word about Tech.io? Thanks a lot for checking, Cheers! Aude <https://www.codingame.com> *Aude BARRAL*, Co-Founder +33 674 632 708 [image: https://fr.linkedin.com/in/audebarral] <https://fr.linkedin.com/in/audebarral> <https://plus.google.com/u/0/102127747572145483038/posts> <https://twitter.com/audebarral> <http://www.facebook.com/CodinGame> <https://www.youtube.com/channel/UCJ6woCHjGCBXqpf91SsAcoQ>

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[ANN] trustme v0.1.0 - #1 quality TLS certs while you wait, for the discerning tester
by Nathaniel Smith July 18, 2017

July 18, 2017

Hi all, I just released a new package: trustme You wrote a cool network client or server. You encrypt your connections using TLS. Your test suite needs to make TLS connections. Uh oh. Your test suite *probably* doesn't have a valid TLS certificate. Now what? ``trustme`` is a tiny Python package that does one thing: it gives you a fake certificate authority (CA) that you can use to generate fake TLS certs to use in your tests. Well, technically they're real certs, they're just signed by your CA, which nobody trusts. But you can trust it. Trust me. Download: https://pypi.org/project/trustme/ Github: https://github.com/python-trio/trustme Share and enjoy, -n -- Nathaniel J. Smith -- https://vorpus.org

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Vulture 0.17 and 0.18
by Jendrik Seipp July 17, 2017

July 17, 2017

vulture - Find dead code ======================== Vulture finds unused classes, functions, imports 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 ======== https://github.com/jendrikseipp/vulture http://pypi.python.org/pypi/vulture Features ======== * fast: static code analysis * lightweight: only one module * tested: tests itself and has complete test coverage * complements pyflakes and has the same output syntax * supports Python 2.6, 2.7 and 3.x News ==== 0.18 (2017-07-17) ----------------- * Make `--sort-by-size` faster and more accurate (thanks @RJ722). 0.17 (2017-07-17) ----------------- * Add `get_unused_code()` method. * Return with exit code 1 when syntax errors are found or files can't be read. Cheers, Jendrik

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PyCA cryptography 2.0 released
by Paul Kehrer July 17, 2017

July 17, 2017

PyCA cryptography 2.0 has been released to PyPI. cryptography includes both high level recipes and low level interfaces to common cryptographic algorithms such as symmetric ciphers, message digests, and key derivation functions. We support Python 2.6-2.7, Python 3.4+, and PyPy. * BACKWARDS INCOMPATIBLE: Support for Python 3.3 has been dropped. * We now ship manylinux1 wheels linked against OpenSSL 1.1.0f. These wheels will be automatically used with most Linux distributions if you are running the latest pip. * Deprecated the use of signer on RSAPrivateKey, DSAPrivateKey, and EllipticCurvePrivateKey in favor of sign. * Deprecated the use of verifier on RSAPublicKey, DSAPublicKey, and EllipticCurvePublicKey in favor of verify. * Added support for parsing SignedCertificateTimestamp objects from X.509 certificate extensions. * Added support for ChaCha20Poly1305. * Added support for AESCCM. * Added AESGCM, a “one shot” API for AES GCM encryption. * Added support for X25519 key exchange. * Added support for serializing and deserializing Diffie-Hellman parameters with load_pem_parameters(), load_der_parameters(), and parameter_bytes() . * The extensions attribute on Certificate, CertificateSigningRequest, CertificateRevocationList, and RevokedCertificate now caches the computed Extensions object. There should be no performance change, just a performance improvement for programs accessing the extensions attribute multiple times. Thanks to all the contributors! -Paul Kehrer (reaperhulk)

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[RELEASE] Python 3.6.2 is now available
by Ned Deily July 17, 2017

July 17, 2017

On behalf of the Python development community and the Python 3.6 release team, I am happy to announce the availability of Python 3.6.2, the second maintenance release of Python 3.6. 3.6.0 was released on 2016-12-22 to great interest and we are now providing the second set of bugfixes and documentation updates for it; the first maintenance release, 3.6.1, was released on 2017-03-31. Detailed information about the changes made in 3.6.2 can be found in the change log here: https://docs.python.org/3.6/whatsnew/changelog.html#python-3-6-2 Please see "What’s New In Python 3.6" for more information about the new features in Python 3.6: https://docs.python.org/3.6/whatsnew/3.6.html You can download Python 3.6.2 here: https://www.python.org/downloads/release/python-362/ The next maintenance release of Python 3.6 is expected to follow in about 3 months, around the end of 2017-09. More information about the 3.6 release schedule can be found here: https://www.python.org/dev/peps/pep-0494/ Enjoy! P.S. If you need to download the documentation set for 3.6.2 immediately, you can always find the release version here: https://docs.python.org/release/3.6.2/download.html The most current updated versions will appear here: https://docs.python.org/3.6/ -- Ned Deily nad(a)python.org -- []

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decorator 4.1 is out
by Michele Simionato July 15, 2017

July 15, 2017

Dear all, a new release of the decorator module is out. For the first time we support decorating Python 3.5 coroutines. For instance, this is an example of how to implement a tracing decorator called log_start_stop that you can use for debugging: import time import logging from asyncio import get_event_loop, sleep, wait from decorator import decorator @decorator async def log_start_stop(coro, *args, **kwargs): logging.info('Starting %s%s', coro.__name__, args) t0 = time.time() await coro(*args, **kwargs) dt = time.time() - t0 logging.info('Ending %s%s after %d seconds', coro.__name__, args, dt) @log_start_stop async def make_task(n): for i in range(n): await sleep(1) if __name__ == '__main__': logging.basicConfig(level=logging.INFO) tasks = [make_task(3), make_task(2), make_task(1)] get_event_loop().run_until_complete(wait(tasks)) You will get an output like this: INFO:root:Starting make_task(1,) INFO:root:Starting make_task(3,) INFO:root:Starting make_task(2,) INFO:root:Ending make_task(1,) after 1 seconds INFO:root:Ending make_task(2,) after 2 seconds INFO:root:Ending make_task(3,) after 3 seconds Also, for the first time the documentation is hosted on readthedocs.org. Here are the relevant links: Download: https://pypi.python.org/pypi/decorator/4.1.1 Project: https://github.com/micheles/decorator/ Docs: http://decorator.readthedocs.io/en/latest/index.html

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QuantiPhy 2.0
by Ken Kundert July 13, 2017

July 13, 2017

QuantiPhy -- Physical Quantities ================================ QuantiPhy is a Python library that offers support for physical quantities. A quantity is the pairing of a number and a unit of measure that indicates the amount of some measurable thing. QuantiPhy provides quantity objects that keep the units with the number, making it easy to share them as single object. They subclass float and so can be used anywhere a number is appropriate. QuantiPhy naturally supports SI scale factors, which are widely used in science and engineering. SI scale factors make it possible to cleanly represent both very large and very small quantities in a form that is both easy to read and write. While generally better for humans, no general programming language provides direct support for reading or writing quantities with SI scale factors, making it difficult to write software that communicates effectively with humans. QuantiPhy addresses this deficiency, making it natural and simple to both input and output physical quantities. Features -------- * Flexibly reads amounts with units and SI scale factors. * Quantities subclass the float class and so can be used as conventional numbers. * Generally includes the units when printing or converting to strings and by default employs SI scale factors. * Flexible unit conversion and scaling is supported to make it easy to convert to or from any required form. * Provides a small but extensible collection of physical constants. Download -------- https://github.com/KenKundert/quantiphy https://pypi.python.org/pypi/quantiphy Documentation ------------- https://quantiphy.readthedocs.io/en/stable/ News ---- This is the first formal production release. With this release the API is considered mature and fully supported. Cheers, Ken

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Vulture 0.16
by Jendrik Seipp July 12, 2017

July 12, 2017

vulture - Find dead code ======================== Vulture finds unused classes, functions, imports 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 ======== https://github.com/jendrikseipp/vulture http://pypi.python.org/pypi/vulture Features ======== * fast: static code analysis * lightweight: only one module * tested: tests itself and has complete test coverage * complements pyflakes and has the same output syntax * supports Python 2.6, 2.7 and 3.x News ==== * Differentiate between unused classes and functions (thanks @RJ722). * Add --sort-by-size option (thanks @jackric and @RJ722). * Count imports as used if they are accessed as module attributes. Cheers, Jendrik

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