Mailman 3 November 2015 - Python-announce-list

Pylint 1.5.0 / Astroid 1.4.1 released
by Claudiu Popa Nov. 30, 2015

Nov. 30, 2015

Hello, I'm happy to announce you the release of Pylint 1.5.0, respectively Astroid 1.4.1. It's been over a year since the last major release and the amount of changes that were brought into pylint in this time is humongous, with over 30 new checks and tons of bug fixes. I would like to use this occasion for thanking for their contributions the new committers who joined pylint's team in the past months, ceridwen and Dmitry, as well as thanking the contributors that made this release possible. Here are some of the major changes of this release: - We finally support Python 3.5 in both projects. - We stopped depending on logilab-common, which means that users of the popular testing framework pytest will finally stop being confused by having two executables with the same name doing different things. - Almost 30 new checks you might enjoy not having in your project. These checks fall into multiple categories, regarding maintainability, readability, recommendations for improving the code, as well as new type-checking capabilities. They are: 'wrong-import-order', 'ungrouped-imports', 'wrong-import-position', 'unneeded-not', 'simplifiable-if-condition', 'too-many-boolean-expressions' 'too-many-nested-blocks', 'multiple-imports', 'duplicate-except', 'using-constant-test', 'confusing-with-statement', 'singleton-comparison', 'misplaced-comparison-constant', 'consider-using-enumerate', 'nonlocal-and-global', 'continue-in-finally', 'misplaced-bare-raise', 'nonlocal-without-binding', 'yield-inside-async-function', 'too-many-star-expressions', 'invalid-star-assignment-target', 'import-star-module-level, 'star-needs-assignment', 'unexpected-special-method-signature', 'repeated-keyword'. Some new type checks for finding violations of the type system are 'unsubscriptable-object', 'unsupported-membership-test', 'not-an-iterable', 'not-context-manager', 'not-async-context-manager', 'duplicate-bases' and 'inconsistent-mro'. - We also added a new 'extensions' component, which contains optional checkers that needs to be activated explicitly. These includes 'extensions.check_docs', which verifies a bunch of properties of the docstrings, such as checking that all function, method and constructor parameters are mentioned in the params and types part of the docstring. Also, it checks that there are no naming inconsistencies between the signature and the documentation, i.e. also report documented parameters that are missing in the signature. This is important to find cases where parameters are renamed only in the code, not in the documentation. Activate this checker with: --load-plugins=pylint.extensions.check_docs Most of the work was put into astroid though, which got more capable in this period of time. Unfortunately, more than half of the work that went into it was postponed for astroid 1.6 and astroid 2.0, since it wasn't deemed stable enough for this release. New features worth mentioning are: - Python 3.5 support - some of the nodes were renamed in order to be more similar to builtin's ast module, such as Class to ClassDef, Function to FunctionDef Getattr to Attribute etc, the old names being slated for removal in astroid 2.0. This affects the plugins as well, since it means that the visit methods should use the new names instead (so visit_classdef for class). Old names are still supported in visit methods for a while, until pylint 2.0. Activating the warnings when running should result in spurious PendingDeprecationWarnings when using the old node names. - add proper grammatical names for `infered` and `ass_type` methods, namely `inferred` and `assign_type`. The old methods will raise PendingDeprecationWarning, being slated for removal in astroid 2.0. - we added a new convenience API, `astroid.parse`, which can be used to retrieve an astroid AST from a source code string, similar to how ast.parse can be used to obtain a Python AST from a source string. - There's a new separate step for transforms. Until now, the transforms were applied at the same time the tree was being built. This was problematic if the transform functions were using inference, since the inference was executed on a partially constructed tree, which led to failures when post-building information was needed. - Better support for understanding builtins. We're understanding a bunch of new builtins, but unfortunately most of them weren't released, since they weren't stable enough for now, due to some inherent problems that astroid has. The most important that's released though is the understanding of super, which means that we can now detect problems of sort: class A(B, C, D): def __init__(self): super(A, self).call_missing_method() You can read the complete changelog here https://bitbucket.org/logilab/astroid/raw/4f45b6fc4c23b80b4f7154add1b9d9cee… and https://bitbucket.org/logilab/pylint/raw/2871c4d7084478b5db02f384e4e5167641… Now with every release there's going to be new false positives or regressions or things that could be improved. Don't hesitate to open an issue or to send a PR if you notice something's amiss and we'll try to have new bug fix releases as soon as possible (you might have noticed that's astroid 1.4.1..) As a final note, we're planning to switch to GitHub soon, which will mean an improved CI for us, resulting in less maintenance pain. Thank you for reading all this and enjoy pylinting! Claudiu

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Announcing asciimatics v1.5.0
by Peter Brittain Nov. 30, 2015

Nov. 30, 2015

I am pleased to announce that version 1.5.0 of asciimatics ( https://github.com/peterbrittain/asciimatics) is now available. WHAT IS IT? This package provides a fully featured, cross-platform, high-level terminal/console API including: * Coloured/styled text - including 256 colours (terminal support permitting) * Cursor positioning * Keyboard input (without blocking or echoing) * Mouse input (terminal support permitting) * Detecting and handling when the console resizes * Screen scraping * Anti-aliased ASCII line-drawing * Image to ASCII conversion - including JPEG, PNG and GIF formats * Many animation effects - e.g. text sprites and scrolling banners It has been proven to work on Windows (without the use of PDCurses), Linux and OSX, supporting both Python 2 and 3. Unlike some other packages, it is genuinely running inside the terminal (i.e. will also work inside a telnet/ssh session) using the native curses or win32 libraries as needed, so that you can write your code once for any platform. CHANGES Changes in this release are: * particle systems - including many new Effects - e.g. fireworks, rain, explosions and screen disintegration. * window titles - the Screen class now provides a way to set the title bar for the window that owns the terminal/console session. * enhanced bar charts - added background colour options. * various bug fixes rolled up from previous patch releases. FURTHER READING For an idea of the sorts of things it can do in just a few lines of code, see the gallery (https://github.com/peterbrittain/asciimatics/wiki) and associated sample code ( https://github.com/peterbrittain/asciimatics/tree/master/samples).

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Twisted 15.5 Release Announcement
by Amber "Hawkie" Brown Nov. 29, 2015

Nov. 29, 2015

On behalf of Twisted Matrix Laboratories, I am honoured to announce the release of Twisted 15.5! The sixth (!!) release in 2015 has quite a few goodies in it -- incrementalism is the name of the game here, and everything is just a little better than it was before. Some of the highlights of this release are: - Python 3.5 support on POSIX was added, and Python 2.6 support was dropped. We also only support x64 Python on Windows 7 now. - More than nine additional modules have been ported to Python 3, ranging from Twisted Web's Agent and downloadPage, twisted.python.logfile, and many others, as well as... - twistd is ported to Python 3, and its first plugin, web, is ported. - twisted.python.url, a new URL/IRI abstraction, has been introduced to answer the question "just what IS a URL" in Twisted, once and for all. - NPN and ALPN support has been added to Twisted's TLS implementation, paving the way for HTTP/2. - Conch now supports the DH group14-sha1 and group-exchange-sha256 key exchange algorithms, as well as hmac-sha2-256 and hmac-sha2-512 MAC algorithms. Conch also works nicer with newer OpenSSH implementations. - Twisted's IRC support now has a sendCommand() method, which enables the use of sending messages with tags. - 55+ closed tickets overall. For more information, check the NEWS file (link provided below). You can find the downloads at <https://pypi.python.org/pypi/Twisted> (or alternatively <http://twistedmatrix.com/trac/wiki/Downloads>) . The NEWS file is also available at <https://github.com/twisted/twisted/blob/twisted-15.5.0/NEWS>. Also worth noting is the two Twisted Software Foundation fellows -- Adi Roiban and myself -- who have been able to dedicate time to reviewing tickets and generally pushing things along in the process. We're funded by the Twisted Software Foundation, which is, in turn, funded by donators and sponsors -- potentially like you! If you would like to know how you can assist in the continued funding of the Fellowship program, see our website: https://twistedmatrix.com/trac/wiki/TwistedSoftwareFoundation#BenefitsofSpo… Many thanks to everyone who had a part in this release - the supporters of the Twisted Software Foundation, the developers who contributed code as well as documentation, and all the people building great things with Twisted! Twisted Regards, Amber "Hawkie" Brown Twisted Release Manager, Twisted Fellow

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ANN: pandas-datareader v0.2.0 released
by David Stephens Nov. 28, 2015

Nov. 28, 2015

Hi, I'm happy to announce v0.2.0 of pandas-datareader. This is a major release from v0.1.1 and includes new features and a number of bug fixes. *What is it:* *pandas-datareader* is a Python package that provides remote data access to financial data. *pandas-datareader* replaces pandas.io.data and pandas.io.wb in pandas versions v0.17.0+. *How to get it:* Install via pip (conda install coming soon) pip install pandas-datareader *How to use it:* from pandas.io import data, wb # becomes from pandas_datareader import data, wb More information available in the documentation here <https://pandas-datareader.readthedocs.org/en/latest/>. *Release highlights include:* *New features* - Added latitude and longitude to output of wb.get_countries #47 <https://github.com/pydata/pandas-datareader/pull/47> - Extended DataReader to fetch dividends and stock splits from Yahoo #45 <https://github.com/pydata/pandas-datareader/pull/45>. - Added get_available_datasets to famafrench #56 <https://github.com/pydata/pandas-datareader/pull/56>. - DataReader now supports OECD data sources #101 <https://github.com/pydata/pandas-datareader/pull/101>. *Backwards incompatible API changes* - Fama French indexes are now pandas.PeriodIndex for annual and monthly data, and pandas.DatetimeIndex otherwise #56 <https://github.com/pydata/pandas-datareader/pull/56>. *Bug Fixes* - Update Fama-French URL #53 <https://github.com/pydata/pandas-datareader/pull/53> - Fixed bug where get_quote_yahoo would fail if a company name had a comma #85 <https://github.com/pydata/pandas-datareader/pull/85> *Issues:* Please report any issues on our issue tracker <https://github.com/pydata/pandas-datareader/issues>. Thanks to all who made this release happen. Dave *Thanks to all of the contributors:* - 0x0L - bashtage - brotchie - briancappello - davidastephens - evanpw - femtotrader - hayd - jorisvandenbossche - jreback - Kevin Sheppard - sinhrks - stared - terrytangyuan

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fades v4
by Facundo Batista Nov. 25, 2015

Nov. 25, 2015

Hello all, We're glad to announce the release of fades 4. fades is a system that automatically handles the virtualenvs in the cases normally found when writing scripts and simple programs, and even helps to administer big projects. It will automagically create a new virtualenv (or reuse a previous created one), installing the necessary dependencies, and execute your script inside that virtualenv. You only need to execute the script with fades (instead of Python) and also mark the required dependencies. More details here: http://fades.rtfd.org/ What's new in this release? - New option to use iPython as the interactive interpreter: --ipython (thanks Ariel Rossanigo). - Now it's possible to execute a program inside the virtualenv, with -x (thanks Ricardo Kirkner). For example, it's possible to create a django project without needing django installed in your system, just doing: fades -d django -x manage startproject foo - Can execute fades as a Python's module (thanks Javi Mansilla) - Support using Python 3.3 to run fades - If you want to fiddle with lower layers options, we have several options for you: - you can send parameters to virtualend with --virtualenv-options - also to pip, with --pip-options - it's possible to remove a managed-by-fades virtualenv with --rm <uuid> - We have a logo! - Now we run the fades tests using fades itself, no need to install anything previously - You can create virtualenvs with --system-site-packages - Other minor bugfixes and improvements To get it: - If you are in debian unstable, just do: sudo apt-get install fades - For other debian/ubuntu you have a .deb here: http://taniquetil.com.ar/fades/fades-latest.deb - Install it in Arch is very simple: yaourt -S fades - Using pip if you want: pip3 install fades - You can always get the multiplatform tarball and install it in the old fashion way: wget http://taniquetil.com.ar/fades/fades-latest.tar.gz tar -xf fades-latest.tar.gz cd fades-* sudo ./setup.py install Help / questions: - You can ask any question or send any recommendation or request to the mailing list. http://listas.python.org.ar/mailman/listinfo/fades - Also, you can open an issue here (please do if you find any problem!). https://github.com/PyAr/fades/issues/new - The project itself is in https://github.com/PyAr/fades Thanks in advance for your time! -- . Facundo Blog: http://www.taniquetil.com.ar/plog/ PyAr: http://www.python.org/ar/ Twitter: @facundobatista

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ANN: released psutil 3.3.0 with OpenBSD support
by Giampaolo Rodola' Nov. 25, 2015

Nov. 25, 2015

Full story here: http://grodola.blogspot.com/2015/11/openbsd-support-for-psutil.html -- Giampaolo - http://grodola.blogspot.com

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IMAPClient 1.0.0 released
by Menno Smits Nov. 24, 2015

Nov. 24, 2015

IMAPClient (http://imapclient.freshfoo.com) 1.0.0 has been released. IMAPClient is an easy-to-use, Pythonic and complete IMAP client library. Python 2.6, 2.7, 3.3 and 3.4 are officially supported. The main focus of this release is enhanced TLS support (using pyOpenSSL and backports.ssl). There has also been significant improvements in how search critieria are handled. Backwards compatibility has been broken in a few areas so existing users should take care when upgrading existing software which relies on IMAPClient. Some links related to this release of IMAPClient: - Announcement on freshfoo.com: http://freshfoo.com/blog/imapclient-1.0.0 - Release notes: http://imapclient.readthedocs.org/en/stable/releases.html#version-1-0-0 - Documentation: http://imapclient.readthedocs.org/ Many thanks to the people who contributed to this release and to to Nylas (https://nylas.com/) for their continued support of the project.

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[RELEASED] Python 3.5.1rc1 is now available
by Larry Hastings Nov. 23, 2015

Nov. 23, 2015

On behalf of the Python development community and the Python 3.5 release team, I'm pleased to announce the availability of Python 3.5.1rc1. Python 3.5.1 will be the first update for Python 3.5. Python 3.5 is the newest version of the Python language, and it contains many exciting new features and optimizations. You can see what's changed in Python 3.5.1rc1 (as compared to 3.5.0) here: https://docs.python.org/3.5/whatsnew/changelog.html And you can download Python 3.5.1 here: https://www.python.org/downloads/release/python-351rc1/ Windows and Mac users: please read the important platform-specific "Notes on this release" section near the end of that page. We hope you enjoy Python 3.5.1! //arry/

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[RELASE] Python 2.7.11 release candidate 1
by Benjamin Peterson Nov. 22, 2015

Nov. 22, 2015

Greetings, It is my duty and honor to announce the immediate availability of Python 2.7.11 release candidate 1. Python 2.7.11 will be another bug fix release for the 2.7.x series. Downloads are at: https://www.python.org/downloads/release/python-2711rc1/ Please test the candidate and report bugs to https://bugs.python.org If no serious problems are found, 2.7.11 final will be released in two weeks. Regards, Benjamin Peterson (on behalf of Python 2.7.11's contributors)

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ANN: pandas v0.17.1 Released
by Jeff Reback Nov. 21, 2015

Nov. 21, 2015

Hi, We are proud to announce that *pandas* has become a sponsored project of the NUMFocus organization <http://numfocus.org/news/2015/10/09/numfocus-announces-new-fiscally-sponsor…> This will help ensure the success of development of *pandas* as a world-class open-source project. This is a minor bug-fix release from 0.17.0 and includes a large number of bug fixes along several new features, enhancements, and performance improvements. We recommend that all users upgrade to this version. This was a release of 5 weeks with 176 commits by 61 authors encompassing 84 issues and 128 pull-requests. *What is it:* *pandas* is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. *Highlights*: - Support for Conditional HTML Formatting, see here <http://pandas.pydata.org/pandas-docs/version/0.17.1/whatsnew.html#whatsnew-…> - Releasing the GIL on the csv reader & other ops, see here <http://pandas.pydata.org/pandas-docs/version/0.17.1/whatsnew.html#whatsnew-…> - Fixed regression in DataFrame.drop_duplicates from 0.16.2, causing incorrect results on integer values see Issue 11376 See the Whatsnew <http://pandas.pydata.org/pandas-docs/version/0.17.1/whatsnew.html> for much more information and the full Documentation <http://pandas.pydata.org/pandas-docs/stable/> link. *How to get it:* Source tarballs, windows wheels, and macosx wheels are available on PyPI <https://pypi.python.org/pypi/pandas> Installation via conda is: - conda install pandas windows wheels are courtesy of Christoph Gohlke and are built on Numpy 1.9 macosx wheels are courtesy of Matthew Brett *Issues:* Please report any issues on our issue tracker <https://github.com/pydata/pandas/issues>: Jeff *Thanks to all of the contributors* * - Aleksandr Drozd - Alex Chase - Anthonios Partheniou - BrenBarn - Brian J. McGuirk - Chris - Christian Berendt - Christian Perez - Cody Piersall - Data & Code Expert Experimenting with Code on Data - DrIrv - Evan Wright - Guillaume Gay - Hamed Saljooghinejad - Iblis Lin - Jake VanderPlas - Jan Schulz - Jean-Mathieu Deschenes - Jeff Reback - Jimmy Callin - Joris Van den Bossche - K.-Michael Aye - Ka Wo Chen - Loïc Séguin-C - Luo Yicheng - Magnus Jöud - Manuel Leonhardt - Matthew Gilbert - Maximilian Roos - Michael - Nicholas Stahl - Nicolas Bonnotte - Pastafarianist - Petra Chong - Phil Schaf - Philipp A - Rob deCarvalho - Roman Khomenko - Rémy Léone - Sebastian Bank - Thierry Moisan - Tom Augspurger - Tux1 - Varun - Wieland Hoffmann - Winterflower - Yoav Ram - Younggun Kim - Zeke - ajcr - azuranski - behzad nouri - cel4 - emilydolson - hironow - lexual - llllllllll - rockg - silentquasar - sinhrks - taeold *

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