Mailman 3 June 2018 - Python-announce-list

[ANN] PyYAML-4.1: YAML parser and emitter for Python
by Ingy dot Net 26 Jun '18

26 Jun '18

======================= Announcing PyYAML-4.1 ======================= A new MAJOR RELEASE of PyYAML is now available: https://pypi.org/project/PyYAML/ This is the first release of PyYAML under a new maintenance team. In August 2016, maintenance of PyYAML and LibYAML was turned over from the original author, Kirill Simonov, to Ian Cordasco and Ingy döt Net. The canonical source repo moved: from: https://bitbucket.org/xi/pyyaml/ to: https://github.com/yaml/pyyaml The PyYAML project is now maintained by the YAML and Python communities. Planning happens on the #yaml-dev, #pyyaml and #libyaml IRC channels on irc.freenode.net. Changes ======= * https://github.com/yaml/pyyaml/pull/35 -- Some modernization of the test running * https://github.com/yaml/pyyaml/pull/42 -- Install tox in a virtualenv * https://github.com/yaml/pyyaml/pull/45 -- Allow colon in a plain scalar in a flow context * https://github.com/yaml/pyyaml/pull/48 -- Fix typos * https://github.com/yaml/pyyaml/pull/55 -- Improve RepresenterError creation * https://github.com/yaml/pyyaml/pull/59 -- Resolves #57, update readme issues link * https://github.com/yaml/pyyaml/pull/60 -- Document and test Python 3.6 support * https://github.com/yaml/pyyaml/pull/61 -- Use Travis CI built in pip cache support * https://github.com/yaml/pyyaml/pull/62 -- Remove tox workaround for Travis CI * https://github.com/yaml/pyyaml/pull/63 -- Adding support to Unicode characters over codepoint 0xffff * https://github.com/yaml/pyyaml/pull/65 -- Support unicode literals over codepoint 0xffff * https://github.com/yaml/pyyaml/pull/74 -- Make pyyaml safe by default. * https://github.com/yaml/pyyaml/pull/75 -- add 3.12 changelog * https://github.com/yaml/pyyaml/pull/76 -- Fallback to Pure Python if Compilation fails * https://github.com/yaml/pyyaml/pull/84 -- Drop unsupported Python 3.3 * https://github.com/yaml/pyyaml/pull/111 -- Remove commented out Psyco code * https://github.com/yaml/pyyaml/pull/149 -- Test on Python 3.7-dev * https://github.com/yaml/pyyaml/pull/158 -- Support escaped slash in double quotes "\/" Resources ========= PyYAML IRC Channel: #pyyaml on irc.freenode.net PyYAML homepage: https://github.com/yaml/pyyaml PyYAML documentation: http://pyyaml.org/wiki/PyYAMLDocumentation Source and binary installers: https://pypi.org/project/PyYAML/ GitHub repository: https://github.com/yaml/pyyaml/ Bug tracking: https://github.com/yaml/pyyaml/issues YAML homepage: http://yaml.org/ YAML-core mailing list: http://lists.sourceforge.net/lists/listinfo/yaml-core About PyYAML ============ YAML is a data serialization format designed for human readability and interaction with scripting languages. PyYAML is a YAML parser and emitter for Python. PyYAML features a complete YAML 1.1 parser, Unicode support, pickle support, capable extension API, and sensible error messages. PyYAML supports standard YAML tags and provides Python-specific tags that allow to represent an arbitrary Python object. PyYAML is applicable for a broad range of tasks from complex configuration files to object serialization and persistence. Example ======= >>> import yaml >>> yaml.load(""" ... name: PyYAML ... description: YAML parser and emitter for Python ... homepage: https://github.com/yaml/pyyaml ... keywords: [YAML, serialization, configuration, persistence, pickle] ... """) {'keywords': ['YAML', 'serialization', 'configuration', 'persistence', 'pickle'], 'homepage': 'https://github.com/yaml/pyyaml', 'description': 'YAML parser and emitter for Python', 'name': 'PyYAML'} >>> print yaml.dump(_) name: PyYAML homepage: https://github.com/yaml/pyyaml description: YAML parser and emitter for Python keywords: [YAML, serialization, configuration, persistence, pickle] Maintainers =========== The following people are responsible for maintaining PyYAML: * Ingy döt Net * Ian Cordasco * Tina Mueller * Alex Gaynor * Donald Stufft * Matt Davis and many thanks to all who have contribributed! See: https://github.com/yaml/pyyaml/pulls Copyright ========= Copyright (c) 2017-2018 Ingy döt Net <ingy(a)ingy.net> Copyright (c) 2006-2016 Kirill Simonov <xi(a)resolvent.net> The PyYAML module was written by Kirill Simonov <xi(a)resolvent.net>. It is currently maintained by the YAML and Python communities. PyYAML is released under the MIT license. See the file LICENSE for more details.

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[ANN] pdfposter 0.7
by Hartmut Goebel 24 Jun '18

24 Jun '18

I'm pleased to announce pdftools.pdfposter 0.7, a tool to scale and tile PDF images/pages to print on multiple pages. :Homepage: https://pdfposter.readthedocs.io/ :Author: Hartmut Goebel <h.goebel(a)crazy-compilers.com> :Licence: GNU Public Licence v3 (GPLv3) :Quick Installation: pip install -U pdftools.pdfposter :Tarballs: https://pypi.org/project/pdftools.pdfposter/#files What is pdfposter? -------------------- Scale and tile PDF images/pages to print on multiple pages. ``Pdfposter`` can be used to create a large poster by building it from multiple pages and/or printing it on large media. It expects as input a PDF file, normally printing on a single page. The output is again a PDF file, maybe containing multiple pages together building the poster. The input page will be scaled to obtain the desired size. This is much like ``poster`` does for Postscript files, but working with PDF. Since sometimes poster does not like your files converted from PDF. :-) Indeed ``pdfposter`` was inspired by ``poster``. For more information please refer to the manpage or visit the `project homepage <https://pdfposter.readthedocs.io/>`_. What's new in version 0.7 --------------------------------------- * Incompatible change: `DIN lang` and `Envelope No. 10` are now defined as landscape formats. * New options ``-f``/``--first`` and ``-l``/``--last`` for specifying the first resp. last page to convert * Reduce the size of the output file a lot. Now the output file is nearly the same size as the input file. While this behaviour was intended from the beginning, it was not yet implemented for two reasons: The content was a) copied for each print-page and b) not compressed. * Make the content of each page appear only once in the output file. This vastly reduces the size of the output file. * Compress page content. Now the output file is nearly the same size as the input file in much more cases. I thought, the underlying library will do this automatically, but it does not. * Fix bug in PDF code used for clipping the page content. Many thanks to Johannes Brödel for reporting this bug. * Add support for Python 3. * Use `PyPFDF2` instead of the unmaintained `pyPDF`. -- Regards Hartmut Goebel | Hartmut Goebel | h.goebel(a)crazy-compilers.com | | www.crazy-compilers.com | compilers which you thought are impossible |

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ANN: datatest 0.9.1 released (test driven data-wrangling)
by Shawn Brown 22 Jun '18

22 Jun '18

Hello, I'm happy to announce the next version of datatest has been released. About ----- Datatest provides tools for test driven data-wrangling and analysis. It supports both pytest and unittest style testing. * Docs: http://datatest.readthedocs.io/ * PyPI: https://pypi.org/project/datatest/ * Devel: https://github.com/shawnbrown/datatest Datatest has no hard dependencies and supports Python 2.6, 2.7, 3.1 through 3.6, PyPy, and PyPy3. What's New ---------- * Supports PyTest with a bundled version of the datatest plugin. * Added tuple- and wildcard-predicates for more expressive validation. * Fully composable data-allowances using UNION and INTERSECTION via "|" and "&" operators. * Added support for incremental testing with the 'mandatory' marker. * Improved data loading now supports shell-style wildcards (like "*.csv"), Pandas DataFrames, MS Excel, and DBF files. * New introductory docs: https://datatest.readthedocs.io/en/stable/tutorial/introduction.html * Added Sphinx-tabs style docs for clear separation of pytest and unittest style examples. * And more...

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NumPy 1.15.0rc1 released
by Charles R Harris 21 Jun '18

21 Jun '18

Hi All, On behalf of the NumPy team I'm pleased to announce the release of NumPy 1.15.0rc1. This release has an unusual number of cleanups, many deprecations of old functions, and improvements to many existing functions. A total of 423 pull reguests were merged for this release, please look at the release notes <https://github.com/numpy/numpy/releases/tag/v1.15.0rc1>for details. Some highlights are: - NumPy has switched to pytest for testing. - A new `numpy.printoptions` context manager. - Many improvements to the histogram functions. - Support for unicode field names in python 2.7. - Improved support for PyPy. The Python versions supported by this release are 2.7, 3.4-3.6. The wheels are linked with OpenBLAS 3.0, which should fix some of the linalg problems reported for NumPy 1.14, and the source archives were created using Cython 0.28.2 and should work with the upcoming Python 3.7. Wheels for this release can be downloaded from PyPI <https://pypi.org/project/numpy/#description>, source archives are available from Github <https://github.com/numpy/numpy/releases/tag/v1.15.0rc1>. A total of 128 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Aaron Critchley + - Aarthi + - Aarthi Agurusa + - Alex Thomas + - Alexander Belopolsky - Allan Haldane - Anas Khan + - Andras Deak - Andrey Portnoy + - Anna Chiara - Aurelien Jarno + - Baurzhan Muftakhidinov - Berend Kapelle + - Bernhard M. Wiedemann - Bjoern Thiel + - Bob Eldering - Cenny Wenner + - Charles Harris - ChloeColeongco + - Chris Billington + - Christopher + - Chun-Wei Yuan + - Claudio Freire + - Daniel Smith - Darcy Meyer + - David Abdurachmanov + - David Freese - Deepak Kumar Gouda + - Dennis Weyland + - Derrick Williams + - Dmitriy Shalyga + - Eric Cousineau + - Eric Larson - Eric Wieser - Evgeni Burovski - Frederick Lefebvre + - Gaspar Karm + - Geoffrey Irving - Gerhard Hobler + - Gerrit Holl - Guo Ci + - Hameer Abbasi + - Han Shen - Hiroyuki V. Yamazaki + - Hong Xu - Ihor Melnyk + - Jaime Fernandez - Jake VanderPlas + - James Tocknell + - Jarrod Millman - Jeff VanOss + - John Kirkham - Jonas Rauber + - Jonathan March + - Joseph Fox-Rabinovitz - Julian Taylor - Junjie Bai + - Juris Bogusevs + - Jörg Döpfert - Kenichi Maehashi + - Kevin Sheppard - Kimikazu Kato + - Kirit Thadaka + - Kritika Jalan + - Lakshay Garg + - Lars G + - Licht Takeuchi - Louis Potok + - Luke Zoltan Kelley - MSeifert04 + - Mads R. B. Kristensen + - Malcolm Smith + - Mark Harfouche + - Marten H. van Kerkwijk + - Marten van Kerkwijk - Matheus Vieira Portela + - Mathieu Lamarre - Mathieu Sornay + - Matthew Brett - Matthew Rocklin + - Matthias Bussonnier - Matti Picus - Michael Droettboom - Miguel Sánchez de León Peque + - Mike Toews + - Milo + - Nathaniel J. Smith - Nelle Varoquaux - Nicholas Nadeau + - Nick Minkyu Lee + - Nikita + - Nikita Kartashov + - Nils Becker + - Oleg Zabluda - Orestis Floros + - Pat Gunn + - Paul van Mulbregt + - Pauli Virtanen - Pierre Chanial + - Ralf Gommers - Raunak Shah + - Robert Kern - Russell Keith-Magee + - Ryan Soklaski + - Samuel Jackson + - Sebastian Berg - Siavash Eliasi + - Simon Conseil - Simon Gibbons - Stefan Krah + - Stefan van der Walt - Stephan Hoyer - Subhendu + - Subhendu Ranjan Mishra + - Tai-Lin Wu + - Tobias Fischer + - Toshiki Kataoka + - Tyler Reddy + - Varun Nayyar - Victor Rodriguez + - Warren Weckesser - Zane Bradley + - fo40225 - lumbric + - luzpaz + - mamrehn + - tynn + - xoviat Cheers Chuck

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pyspread 1.1.2 released
by Martin Manns 20 Jun '18

20 Jun '18

================ pyspread 1.1.2 ================ Pyspread 1.1.2 has been released. About pyspread ============== Pyspread is a non-traditional spreadsheet that is based on and written in the programming language Python. The goal of pyspread is to be the most pythonic spreadsheet application. Pyspread is free software. It is released under the GPL v3. Project website: https://manns.github.io/pyspread/ Download page: https://pypi.python.org/pypi/pyspread Source code: https://github.com/manns/pyspread Release 1.1.2 is a bugfix release. Major changes to 1.1.1: ======================= * Bugfix for the font choice combo box that fixes a glitch, which renders it unusable after a GTK update Enjoy Martin

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ANN: Bokeh 0.13.0 Released
by Bryan Van de ven 20 Jun '18

20 Jun '18

On behalf of the Bokeh team, I am pleased to announce the release of version 0.13.0 of Bokeh! For more information and details, please see the announcement post at: https://bokeh.github.io/blog/2018/6/13/release-0-13-0/ If you are using Anaconda/miniconda, you can install it with conda: conda install -c bokeh bokeh Alternatively, you can also install it with pip: pip install bokeh Full information including details about how to use and obtain BokehJS are at: https://bokeh.pydata.org/en/0.13.0/docs/installation.html Issues, enhancement requests, and pull requests can be made on the Bokeh Github page: https://github.com/bokeh/bokeh Documentation is available at: https://bokeh.pydata.org/en/0.13.0 There are over 301 total contributors to Bokeh and their time and effort help make Bokeh such an amazing project and community. Thank you again for your contributions. Finally, for questions or technical assistance we recommend starting with detailed posts on Stack Overflow. Or if you are interested in contributing, come by the Bokeh dev chat room: https://gitter.im/bokeh/bokeh-dev Thanks, Bryan Van de Ven

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ANN: SfePy 2018.2
by Robert Cimrman 19 Jun '18

19 Jun '18

I am pleased to announce release 2018.2 of SfePy. Description ----------- SfePy (simple finite elements in Python) is a software for solving systems of coupled partial differential equations by the finite element method or by the isogeometric analysis (limited support). It is distributed under the new BSD license. Home page: http://sfepy.org Mailing list: https://mail.python.org/mm3/mailman3/lists/sfepy.python.org/ Git (source) repository, issue tracker: https://github.com/sfepy/sfepy Highlights of this release -------------------------- - generalized-alpha and velocity Verlet elastodynamics solvers - terms for dispersion in fluids - caching of reference coordinates for faster repeated use of probes - new wrapper of MUMPS linear solver for parallel runs For full release notes see http://docs.sfepy.org/doc/release_notes.html#id1 (rather long and technical). Cheers, Robert Cimrman --- Contributors to this release in alphabetical order: Robert Cimrman Lubos Kejzlar Vladimir Lukes Matyas Novak

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ANN: Version 0.1.5 of sarge (a subprocess wrapper library) has been released.
by Vinay Sajip 18 Jun '18

18 Jun '18

Version 0.1.5 of Sarge, a cross-platform library which wraps the subprocessmodule in the standard library, has been released. What changed?------------- - Fixed #37: Instead of an OSError with a "no such file or directory" message, a ValueError is raised with a more informative "Command not found" message. - Fixed #38: Replaced ``async`` keyword argument with ``async_``, as ``async`` has become a keyword in Python 3.7. - Fixed #39: Updated tutorial example on progress monitoring. What does Sarge do?------------------- Sarge tries to make interfacing with external programs from yourPython applications easier than just using subprocess alone. Sarge offers the following features: * A simple way to run command lines which allows a rich subset of Bash-style shell command syntax, but parsed and run by sarge so that youcan run on Windows without cygwin (subject to having those commandsavailable): >>> from sarge import capture_stdout>>> p = capture_stdout('echo foo | cat; echo bar')>>> for line in p.stdout: print(repr(line))...'foo\n''bar\n' * The ability to format shell commands with placeholders, such thatvariables are quoted to prevent shell injection attacks. * The ability to capture output streams without requiring you toprogram your own threads. You just use a Capture object and then youcan read from it as and when you want. * The ability to look for patterns in captured output and to interactaccordingly with the child process. Advantages over subprocess--------------------------- Sarge offers the following benefits compared to using subprocess: * The API is very simple. * It's easier to use command pipelines - using subprocess out of thebox often leads to deadlocks because pipe buffers get filled up. * It would be nice to use Bash-style pipe syntax on Windows, butWindows shells don't support some of the syntax which is useful, like&&, ||, |& and so on. Sarge gives you that functionality on Windows,without cygwin. * Sometimes, subprocess.Popen.communicate() is not flexible enough forone's needs - for example, when one needs to process output a line ata time without buffering the entire output in memory. * It's desirable to avoid shell injection problems by having theability to quote command arguments safely. * subprocess allows you to let stderr be the same as stdout, but notthe other way around - and sometimes, you need to do that. Python version and platform compatibility----------------------------------------- Sarge is intended to be used on any Python version >= 2.6 and istested on Python versions 2.6, 2.7, 3.3, 3.4, 3.5, 3.6 and 3.7 on Linux,Windows, and Mac OS X (not all versions are tested on all platforms,but sarge is expected to work correctly on all these versions on allthese platforms). Finding out more---------------- You can read the documentation at http://sarge.readthedocs.org/ There's a lot more information, with examples, than I can put intothis post. You can install Sarge using "pip install sarge" to try it out. Theproject is hosted on BitBucket at https://bitbucket.org/vinay.sajip/sarge/ And you can leave feedback on the issue tracker there. I hope you find Sarge useful! Regards, Vinay Sajip

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wxPython 4.0.2
by Robin Dunn 18 Jun '18

18 Jun '18

Announcing wxPython 4.0.2 ========================= PyPI: https://pypi.org/project/wxPython/4.0.2 Extras: https://extras.wxPython.org/wxPython4/extras/ Pip: ``pip install wxPython==4.0.2`` Changes in this release include the following: * Fixed wx.html2.EVT_WEBVIEW_NAVIGATING event not being sent on some versions of Linux. (#741) * wx.Sizers can now be used as an iterator to iterate over the items within the sizer. (#738) * Fix Python3 division in ThumbnailCtrl. (#746) * Fix leaking image list in CheckListCtrlMixin (#752) * All items marked as deprecated in the wxWidgets interface (documentation) files will now throw a DeprecationWarning when used from wxPython. Many of these items are disappearing in 4.1 so it's important to ensure they are deprecated at runtime too instead of just in the docs. (#749) * Ensure that the attribute list given to the GLCanvas constructor is zero-terminated like it was in Classic. (#770) * Updated to the wxWidgets 3.0.4 release version. * Added the wxWidgets version number to the tail end of the string returned by wx.version(). * Bind EVT_WINDOW_DESTROY event only to the tree windows in CustomTreeCtrl, since otherwise it would be caught when child windows are destroyed too, which causes problems in this case. (#778) * Fixed a problem where wx.TreeCtrl.OnCompareItems was not being called in derived classes on Windows. This was due to an optimization that wasn't compatible with how the classes are wrapped. (#774) * Added wrappers for wx.ClassInfo and exposed wx.Object.GetClassInfo. This class is part of wxWidgets' internal type information system and although it is not very useful for Python applications it is useful for debugging some internal wxPython issues. * Removed the wx.lib.pubsub package, and replaced it with code that imports the standalone PyPubSub in order remain compatible with older code that still uses wx.lib.pubsub. (#782, #792) * Fixed bug in wx.lib.intctrl (#790) * Fixed subclassing of wx.TextCompleter and wx.TextCompleterSimple (#827) * Fixes for Python3 compatibility in PyCrust. (#823) * Fix wxGet to be able to use pip v10. (#817) * Change winid parameter in wx.ScrolledWindow to id, for consistency. (#816) * Ensure that the page exists in book controls GetPage and RemovePage methods. At least one of the wx ports do not do this. (#830) * Added missing wx.NumberEntryDialog * Change wx.TextCompleterSimple.GetCompletions to send the list of strings as a return value, rather than a parameter that gets filled. (#836) * Enabled the wx.GraphicsContext.Create(metaFileDC) wrapper (#811) * Metafile support is also available on OSX, so wx.msw.Metafile and wx.msw.MetafileDC have been moved to the core wx module. So they can now be accessed as wx.Metafile and wx.MetafileDC. * Updated the waf tool used by the build to version 2.0.7. This fixes problems with building for Python 3.7. * Fixed alignment in buttons on MSW which have had foreground or background colors set. (#815) * Fix for unexpected assertion inside wx.aui.AuiMDIChildFrame.Close. * Fix a bug in setting AuiDockingGuide size. (#727) * Remove unnecessary AUI notebook updating, and use wx.BufferedDC in Repaint() to mitigate flicker. (wx.lib.agw.aui). (#851, #686) * Fixed crashing bug when using client data with items in wx.dataview.DataViewTreeCtrl. (#856) * Detach wx.Control in AuiToolbar from current sizer before attach to a new one. (#843) * Fixed a problem in wx.lib.mixins.listctrl.TextEditMixin where the height of the editor widget could be set to zero. (See discussion in #849) * Fix a bug in calculating whether a tool fits into the AuiToolBar. (#863) * Override SetForegroundColour and SetBackgroundColour in MaskedEditMixin (#808) * Add an explicit wx.GraphicsContext.Create overload for wx.AutoBufferedPaintDC. (#783) * Return original AGW window style in AuiToolBar.GetAGWWindowStyleFlag. (#870) * Fix a bug in group management on wx.lib.masked.numctrl; the previous code used truediv ('/') to calculate _groupSpace, but in python 3.x this leads to a float result, instead of an integer as was expected. Using floordiv ('//') instead to solve the problem. (#865) * Hide the window when the tool does not fit into AuiToolBar. (#872) * Fixed the virtual dispatch code for the PGEditor.GetValueFromControl method to properly pass the parameters to the Python implementation, and also fixed how the return value is handled. (#742) * Fixed all implementations of the PGProperty.StringToValue and IntToValue methods to treat the value parameter as a return value. (#742) * Add missing wx.adv.EVT_CALENDAR_WEEK_CLICKED (#875) * Fixed the stock labels to conform to Windows design guidelines. (#787) * Always reset floating size and style when floating a toolbar in agw.aui. (#880) 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 with 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/ -- Robin Dunn Software Craftsman http://wxPython.org

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ANN: A new version (0.4.3) of python-gnupg has been released. It contains a security-related change - please update to this version
by Vinay Sajip 13 Jun '18

13 Jun '18

A new version of the Python module which wraps GnuPG has been released. What Changed?=============This is a security-fix release, and all users are strongly encouraged to upgrade.This fix mitigates against CVE-2018-12020. See the discoverer's blog post [6] formore information. Brief summary: * Added --no-verbose to the gpg command line, in case verbose is specified in gpg.conf - we don't need verbose output. This release [2] has been signed with my code signing key: Vinay Sajip (CODE SIGNING KEY) <vinay_sajip at yahoo.co.uk>Fingerprint: CA74 9061 914E AC13 8E66 EADB 9147 B477 339A 9B86 Recent changes to PyPI don't show the GPG signature with the download links.An alternative download source where the signatures are available is the project'sown downloads page [5]. What Does It Do?================The gnupg module allows Python programs to make use of thefunctionality provided by the Gnu Privacy Guard (abbreviated GPG orGnuPG). Using this module, Python programs can encrypt and decryptdata, digitally sign documents and verify digital signatures, manage(generate, list and delete) encryption keys, using proven Public KeyInfrastructure (PKI) encryption technology based on OpenPGP. This module is expected to be used with Python versions >= 2.4, as itmakes use of the subprocess module which appeared in that version ofPython. This module is a newer version derived from earlier work byAndrew Kuchling, Richard Jones and Steve Traugott. A test suite using unittest is included with the source distribution. Simple usage: >>> import gnupg>>> gpg = gnupg.GPG(gnupghome='/path/to/keyring/directory')>>> gpg.list_keys() [{...'fingerprint': 'F819EE7705497D73E3CCEE65197D5DAC68F1AAB2','keyid': '197D5DAC68F1AAB2','length': '1024','type': 'pub','uids': ['', 'Gary Gross (A test user) <gary.gr... at gamma.com>']},{...'fingerprint': '37F24DD4B918CC264D4F31D60C5FEFA7A921FC4A','keyid': '0C5FEFA7A921FC4A','length': '1024',...'uids': ['', 'Danny Davis (A test user) <danny.da... at delta.com>']}]>>> encrypted = gpg.encrypt("Hello, world!", ['0C5FEFA7A921FC4A'])>>> str(encrypted) '-----BEGIN PGP MESSAGE-----\nVersion: GnuPG v1.4.9 (GNU/Linux)\n\nhQIOA/6NHMDTXUwcEAf.-----END PGP MESSAGE-----\n'>>> decrypted = gpg.decrypt(str(encrypted), passphrase='secret')>>> str(decrypted) 'Hello, world!'>>> signed = gpg.sign("Goodbye, world!", passphrase='secret')>>> verified = gpg.verify(str(signed))>>> print "Verified" if verified else "Not verified" 'Verified' As always, your feedback is most welcome (especially bug reports [3],patches and suggestions for improvement, or any other points via themailing list/discussion group [4]). Enjoy! Cheers Vinay SajipRed Dove Consultants Ltd. [1] https://bitbucket.org/vinay.sajip/python-gnupg[2] https://pypi.python.org/pypi/python-gnupg/0.4.3[3] https://bitbucket.org/vinay.sajip/python-gnupg/issues[4] https://groups.google.com/forum/#!forum/python-gnupg[5] https://bitbucket.org/vinay.sajip/python-gnupg/downloads/[6] https://neopg.io/blog/gpg-signature-spoof/

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Python-announce-list June 2018