Mailman 3 May 2014 - Python-announce-list

Crochet 1.3.0 - Use Twisted Anywhere!
by Itamar Turner-Trauring May 31, 2014

May 31, 2014

Crochet is an MIT-licensed library that makes it easier to use Twisted from regular blocking code. Some use cases include: * Easily use Twisted from a blocking framework like Django or Flask. * Write a library that provides a blocking API, but uses Twisted for its implementation. * Port blocking code to Twisted more easily, by keeping a backwards compatibility layer. * Allow normal Twisted programs that use threads to interact with Twisted more cleanly from their threaded parts. For example this can be useful when using Twisted as a WSGI container. This is a bugfix release, recommended for all users of Crochet. Crochet can be downloaded from https://pypi.python.org/pypi/crochet or by running: $ pip install crochet Documentation can be found at http://crochet.readthedocs.org <https://crochet.readthedocs.org/> Bugs and feature requests should be filed at the project https://github.com/itamarst/crochet Here’s an example of a program using Crochet. Notice that you get a completely blocking interface to Twisted and do not need to run the Twisted reactor, the event loop, yourself. #!/usr/bin/python """ Do a DNS lookup using Twisted's APIs. """ from __future__ import print_function # The Twisted code we'll be using: from twisted.names import client from crochet import setup, wait_for setup() # Crochet layer, wrapping Twisted's DNS library in a blocking call. @wait_for(timeout=5.0) def gethostbyname(name): """Lookup the IP of a given hostname. Unlike socket.gethostbyname() which can take an arbitrary amount of time to finish, this function will raise crochet.TimeoutError if more than 5 seconds elapse without an answer being received. """ d = client.lookupAddress(name) d.addCallback(lambda result: result[0][0].payload.dottedQuad()) return d if __name__ == '__main__': # Application code using the public API - notice it works in a normal # blocking manner, with no event loop visible: import sys name = sys.argv[1] ip = gethostbyname(name) print(name, "->", ip) Run on the command line: > $ python blockingdns.py twistedmatrix.com > twistedmatrix.com -> 66.35.39.66

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ANN: Pandas 0.14.0 released
by Jeff Reback May 30, 2014

May 30, 2014

Hello, We are proud to announce v0.14.0 of pandas, a major release from 0.13.1. This release includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number of bug fixes. This was 4 months of work with 1014 commits by 121 authors encompassing 757 issues. We recommend that all users upgrade to this version. *Highlights:* - Officially support Python 3.4 - SQL interfaces updated to use sqlalchemy - Display interface changes - MultiIndexing Using Slicers - Ability to join a singly-indexed DataFrame with a multi-indexed DataFrame - More consistency in groupby results and more flexible groupby specifications - Holiday calendars are now supported in CustomBusinessDay - Several improvements in plotting functions, including: hexbin, area and pie plots - Performance doc section on I/O operations See a full description of Whatsnew for v0.14.0 here: http://pandas.pydata.org/pandas-docs/stable/whatsnew.html *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. Documentation: http://pandas.pydata.org/pandas-docs/stable/ Source tarballs, windows binaries are available on PyPI: https://pypi.python.org/pypi/pandas windows binaries are courtesy of Christoph Gohlke and are built on Numpy 1.8 macosx wheels will be available soon, courtesy of Matthew Brett Please report any issues here: https://github.com/pydata/pandas/issues Thanks The Pandas Development Team Contributors to the 0.14.0 release - Acanthostega - Adam Marcus - agijsberts - akittredge - Alex Gaudio - Alex Rothberg - AllenDowney - Andrew Rosenfeld - Andy Hayden - ankostis - anomrake - Antoine Mazières - anton-d - bashtage - Benedikt Sauer - benjamin - Brad Buran - bwignall - cgohlke - chebee7i - Christopher Whelan - Clark Fitzgerald - clham - Dale Jung - Dan Allan - Dan Birken - danielballan - Daniel Waeber - David Jung - David Stephens - Douglas McNeil - DSM - Garrett Drapala - Gouthaman Balaraman - Guillaume Poulin - hshimizu77 - hugo - immerrr - ischwabacher - Jacob Howard - Jacob Schaer - jaimefrio - Jason Sexauer - Jeff Reback - Jeffrey Starr - Jeff Tratner - John David Reaver - John McNamara - John W. O'Brien - Jonathan Chambers - Joris Van den Bossche - jreback - jsexauer - Julia Evans - Júlio - Katie Atkinson - kdiether - Kelsey Jordahl - Kevin Sheppard - K.-Michael Aye - Matthias Kuhn - Matt Wittmann - Max Grender-Jones - Michael E. Gruen - michaelws - mikebailey - Mike Kelly - Nipun Batra - Noah Spies - ojdo - onesandzeroes - Patrick O'Keeffe - phaebz - Phillip Cloud - Pietro Battiston - PKEuS - Randy Carnevale - ribonoous - Robert Gibboni - rockg - sinhrks - Skipper Seabold - SplashDance - Stephan Hoyer - Tim Cera - Tobias Brandt - Todd Jennings - TomAugspurger - Tom Augspurger - unutbu - westurner - Yaroslav Halchenko - y-p - zach powers

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ANN: PyQt v5.3 Released
by Phil Thompson May 28, 2014

May 28, 2014

PyQt5 v5.3 has been released and is available from http://www.riverbankcomputing.com/software/pyqt/download5. PyQt5 is a comprehensive set of bindings for v5 of Digia's Qt cross-platform application framework. It supports Python v3, v2.7 and v2.6. The highlights of this release include support for Qt v5.3 including the new QtQuickWidgets and QtWebSockets modules. PyQt5 supports cross-compiling to iOS and Android. Windows installers are provided which contain everything needed for PyQt5 development (including Qt, Qt Designer, QScintilla, and MySQL, PostgreSQL, SQLite and ODBC drivers) except Python itself. Installers are provided for the 32 and 64 bit versions of Python v3.4. PyQt5 is implemented as a set of 29 extension modules including support for: - non-GUI infrastructure including event loops, threads, i18n, user and application settings, mapped files and shared memory - GUI infrastructure including window system integration, event handling, 2D graphics, basic imaging, fonts, OpenGL - a comprehensive set of desktop widgets - WebKit - full integration with Quick2 and QML allowing new Quick items to be implemented in Python and created in QML - event driven network programming - multimedia including cameras, audio and radios - Bluetooth - global positioning using satellite, Wi-Fi or text file sources - sensors including accelerometers, altimeters, compasses, gyroscopes, magnetometers, and light, pressure, proximity, rotation and temperature sensors - serial ports - SQL - printing - DBus - XPath, XQuery, XSLT and XML Schema validation - a help system for creating and viewing searchable documentation - unit testing of GUI applications.

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ANN: eGenix mxODBC Connect 2.1.0 - Python ODBC Database Interface
by eGenix Team: M.-A. Lemburg May 28, 2014

May 28, 2014

________________________________________________________________________ ANNOUNCING eGenix.com mxODBC Connect Python ODBC Database Interface Version 2.1.0 mxODBC Connect is our commercially supported client-server product for connecting Python applications to relational databases in a truly platform independent way. This announcement is also available on our web-site for online reading: http://www.egenix.com/company/news/eGenix-mxODBC-Connect-2.1.0-GA.html ________________________________________________________________________ INTRODUCTION The mxODBC Connect Database Interface for Python allows users to easily connect Python applications to all major databases on the market today in a highly portable, convenient and secure way. Python Database Connectivity the Easy Way ----------------------------------------- Unlike our mxODBC Python extension, mxODBC Connect is designed as client-server application, so you no longer need to find production quality ODBC drivers for all the platforms you target with your Python application. Instead you use an easy to install royalty-free Python client library which connects directly to the mxODBC Connect database server over the network. This makes mxODBC Connect a great basis for writing cross-platform multi-tier database applications and utilities in Python, especially if you run applications that need to communicate with databases such as MS SQL Server and MS Access, Oracle Database, IBM DB2 and Informix, Sybase ASE and Sybase Anywhere, MySQL, PostgreSQL, SAP MaxDB and many more, that run on Windows or Linux machines. Ideal for Database Driven Client Applications --------------------------------------------- By removing the need to install and configure ODBC drivers on the client side and dealing with complicated network setups for each set of drivers, mxODBC Connect greatly simplifies deployment of database driven client applications, while at the same time making the network communication between client and database server more efficient and more secure. For more information, please have a look at the mxODBC Connect product page, in particular, the full list of available features. For more information, please see the product page: http://www.egenix.com/products/python/mxODBCConnect/ ________________________________________________________________________ NEWS mxODBC Connect 2.1.0 is a new minor release of our successful mxODBC Connect product. These are the changes compared to mxODBC Connect 2.0.5. Update to the mxODBC 3.3 API ---------------------------- mxODBC Connect 2.1 upgrades the mxODBC Connect Client to the new mxODBC 3.3. APIs and enhancements. Stored Procedures * mxODBC Connect now has full support for input, output and input/output parameters in stored procedures and stored functions, allowing easy integration with existing databases systems. User Customizable Row Objects * Added support for user customizable row objects by adding cursor/connection .rowfactory and .row constructor attributes. When set, these are used to wrap the normal row tuples returned by the .fetch*() methods into dynamically created row objects. * Added new RowFactory classes to support cursor.rowfactory and cursor.row. These allow dynamically creating row classes that provide sequence as well as mapping and attribute access to row fields - similar to what namedtuples implements, but more efficient and specific to result sets. Fast Cursor Types * Switched to forward-only cursor types for all database backends, since this provides a much better performance for MS SQL Server and IBM DB2 drivers. * Added a new .cursortype attribute to allow adjusting and inspecting the ODBC cursor type to be used for an mxODBC Connect cursor object. Default is to use forward-only cursors, but mxODBC also support several other useful cursor types such as static cursors with full support for result set scrolling. More new Features * Enhanced cursor.prepare() to allow querying cursor.description right after the prepare step and not only after calling a cursor.execute*() method. * Added iterator/generator support to .executemany(). The parameters list can now be an iterator/generator, if needed. * Added new connection.dbapi property to easily access module level symbols from the connection object. * Timestamp seconds fraction resolution is now determined from the scale of a datetime/timestamp SQL column, using the connection.timestampresolution as lower bound, when using SQL type binding. In Python type binding mode, the connection.timestampresolution determines the scale with which a variable is bound. This allows for greater flexibility when dealing with database backends that don't provide full nano-second second resolution, such as e.g. MS SQL Server. * mxODBC Connect accepts Unicode string values for date/time/datetime/timestamp column types in SQL type binding mode. Previous versions already did in Python type binding mode. * mxODBC Connect uses unicode(obj, encoding) semantics when binding Python objects to SQLWCHAR Unicode database parameters to provide better compatibility with Python objects. Additionally, it ignores the encoding in case obj is a number, to avoid conversion errors. * Added new cursor.encoding attribute. This gets its default values from the connection the cursor was created on and allows for per-cursor encoding settings. * Added cursor.bindmethod which inherits from connection.bindmethod when creating the cursor. This allows adjusting the variable bind method on a per-cursor basis, rather than only on a per connection basis as in previous mxODBC Connect versions. mxODBC Connect API Enhancements ------------------------------- * The SQL lookup object is cached on the client side to avoid frequent roundtrips when using symbols which are needed for stored procedures with input/output parameters. * The SQL lookup object received support for new ODBC 3.8 symbols and values, including driver specific symbols used by the MS SQL Server Native Client and IBM DB2 ODBC drivers. * Improved the server side object management to simplify client side garbage collection considerations. Even though we still encourage using explicit garbage collection of cursors, connections and server sessions on the client side, mxODBC Connect Server will now handle most situations even without these explicit calls. Asynchronous Processing ----------------------- * Tested with the latest gevent and greenlet packages. mxODBC Connect Client will happily work together with the asynchronous libraries gevent. All it takes is a single configuration entry in the client side config file. Security Enhancements --------------------- * Changed the way passwords are stored in the server's authorized-users.txt file in order to make password storage more secure. * User authentication now uses salted SHA-256 password hashes when transferring the login data from the client to the server. This provides better protection when using plain text client server setups and additional security over SSL network connections. ODBC Driver/Manager Compatibility Enhancements ---------------------------------------------- unixODBC * mxODBC Connect Server is now built against unixODBC 2.3.2 on Linux. DataDirect * Updated the DataDirect binding to version 7.1.2 of the DataDirect ODBC manager on Linux. Oracle * Added work-around for Oracle Instant Client to be able to use integer output parameters. * Added a work-around for Oracle Instant Client to have it return output parameters based on the input placeholder Python parameter types. It would otherwise return all parameters as strings. Disabled a test for Oracle Instant Client which tries to set a pre-connect connection option for timeouts, since the ODBC driver segfaults with this option. MS SQL Server * mxODBC Connect Server 2.1 defaults to 100ns connection.timestampresolution for MS SQL Server 2008 and later, and 1ms resolution for MS SQL server 2005 and earlier. This simplifies interfacing to SQL Server timestamp columns by preventing occasional precision errors. * Tested mxODBC Connect Server successfully with new MS SQL Server Native Client 11 for Linux. Unicode connection strings still don't work, but everything else does. * Added documentation on how to use Kerberos with mxODBC and SQL Server for authentication on both Windows and Linux to the mxODBC User Manual. * Added note about problems of the FreeTDS ODBC driver dealing with TIME and DATE columns. Sybase ASE * Added work-around for the Sybase ASE ODBC driver, which doesn't always pass back NULL correctly to mxODBC Connect Server on 64-bit Unix systems. * Changed the variable type binding mode default for the Sybase ASE ODBC driver from Python type binding to SQL type binding, which resolves issues with e.g. the Unicode support for that driver. * Added note about a segfault problem with the Sybase ASE 15.7 ODBC driver which is caused by the driver corrupting the heap. IBM DB2 * Added work-around for the IBM DB2 ODBC driver, which doesn't always pass back NULL correctly to mxODBC Connect Server on 64-bit Unix systems. PostgreSQL * Added work-around to force Python type binding for the PostgreSQL ODBC drivers. More recent versions of the driver report supporting SQL type binding, but they don't implement it. * Added work-around to have PostgreSQL ODBC drivers properly work with binary data for BYTEA columns. MySQL * mxODBC Connect Server now supports native Unicode with the recent MySQL ODBC drivers - provided you use the Unicode variants of the drivers. * Changed the default binding mode for MySQL ODBC drivers to Python type binding. This works around a problem with date/time values when talking to MySQL 5.6 servers. For the full set of changes, including those of the 2.0 series of mxODBC Connect, please check the mxODBC Connect change log. http://www.egenix.com/products/python/mxODBCConnect/changelog.html ________________________________________________________________________ UPGRADING You are encouraged to upgrade to this latest mxODBC Connect release. When upgrading, please always upgrade both the server and the client installations to the same version - even for patch level releases. We will give out 20% discount coupons for upgrade purchases going from mxODBC Connect Server 1.x to 2.1 and 50% coupons for upgrades from mxODBC 2.x to 2.1. Please contact the eGenix.com Sales Team (sales(a)egenix.com) with your existing license serials for details. Users of our stand-alone mxODBC product will have to purchase new licenses from our online shop in order to use mxODBC Connect. You can request free 30-day evaluation licenses by visiting our web-site or writing to sales(a)egenix.com, stating your name (or the name of the company) and the number of eval licenses that you need. http://www.egenix.com/products/python/mxODBCConnect/#Evaluation ________________________________________________________________________ DOWNLOADS The download archives as well as instructions for installation and configuration of the product can be found on the product page: http://www.egenix.com/products/python/mxODBCConnect/ If you want to try the package, jump straight to the download instructions: https://cms.egenix.com/products/python/mxODBCConnect/#Download Fully functional evaluation licenses for the mxODBC Connect Server are available free of charge: http://www.egenix.com/products/python/mxODBCConnect/#Evaluation mxODBC Connect Client is always free of charge. _______________________________________________________________________ SUPPORT Commercial support for this product is available from eGenix.com. Please see http://www.egenix.com/services/support/ for details about our support offerings. _______________________________________________________________________ INFORMATION About Python (http://www.python.org/): Python is an object-oriented Open Source programming language which runs on all modern platforms. By integrating ease-of-use, clarity in coding, enterprise application connectivity and rapid application design, Python establishes an ideal programming platform for today's IT challenges. About eGenix (http://www.egenix.com/): eGenix is a software project, consulting and product company focusing on expert project services and professional quality products for companies, Python users and developers. Enjoy, -- Marc-Andre Lemburg eGenix.com Professional Python Services directly from the Source (#1, May 28 2014) >>> Python Projects, Consulting and Support ... http://www.egenix.com/ >>> mxODBC.Zope/Plone.Database.Adapter ... http://zope.egenix.com/ >>> mxODBC, mxDateTime, mxTextTools ... http://python.egenix.com/ ________________________________________________________________________ ::::: Try our mxODBC.Connect Python Database Interface for free ! :::::: eGenix.com Software, Skills and Services GmbH Pastor-Loeh-Str.48 D-40764 Langenfeld, Germany. CEO Dipl.-Math. Marc-Andre Lemburg Registered at Amtsgericht Duesseldorf: HRB 46611 http://www.egenix.com/company/contact/

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[ANN]: Salstat, friendly open source statistics
by Alan James Salmoni May 27, 2014

May 27, 2014

I am proud to announce a new source code release of Salstat, the friendly open source statistics program. It is written in Python with Numpy, SciPy, wxPython and many other Python libraries (see the readme.md Code is available from GitHub: https://github.com/salmoni/Salstat ## What is Salstat? Salstat is a program for statistical analysis: Much like SPSS but friendlier and easier to use. It began in 2000 as a project to provide software that removed legacy interfaces and let people learn about statistics rather than having to master an interface. After a career-imposed hiatus since 2003, a few released have crept out over the last year bringing improvements and a more powerful program to people who aren't comfortable with statistics. ## What's new? This latest release features simple histograms. ## What features does it have? *Data import*: SAS, CSV, Excel, LibreOffice Calc *Descriptives*: Too many to mention. There are 9 types of quantile to give you some idea. Can analyse univariate or multivariate data sets. *Inferential tests*: A range of 1 and 2 sample tests, parametric and non-parametric. 2+ sample tests are currently not working because the relevant interface needs a redesign to accommodate them but they will be arriving soon. *Charts, graphs, plots*: Column, bar, scatter, line, spline, area, pie, box plot, histogram. ## Does Salstat need help? Please pass this news around your social media network to spread the word. Find us on Twitter (@Salstat) and full news articles at http://salstat.blogspot.co.uk/. We're okay with the developer talent (although we're always pleased to hear especially if you can commit long-term) but most of all we need users – which means telling people Salstat exists. All the best & have fun, Alan J. Salmoni Salstat – Friendly open source statistics GitHub: https://github.com/salmoni/Salstat Blog: http://salstat.blogspot.co.uk/ Facebook: https://www.facebook.com/salstat1 Twitter: @Salstat

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ANN: pysendfile 2.0.1 released
by Giampaolo Rodola' May 27, 2014

May 27, 2014

Hi folks, I'm pleased to announce the 2.0.1 release of pysendfile: https://github.com/giampaolo/pysendfile === About === This is a python interface to sendfile(2) system call available on most UNIX systems. sendfile(2) provides a "zero-copy" way of copying data from one file descriptor to another (a socket). The phrase "zero-copy" refers to the fact that all of the copying of data between the two descriptors is done entirely by the kernel, with no copying of data into userspace buffers, resuting in file transfers being from 2x to 3x faster. Basically, any application sending files over the network can take advantage of it. HTTP and FTP servers are a typical example. === Changes === - #20: host tarball on PYPI - #21: project migrated from google code to github - #21: project migrated from SVN to GIT - #22: pysendfile won't compile on python 3.4 - #23: add a Makefile - #24: use of travis continuous integration - #25: use tox for multiple python versions testing === Supported platforms === * Linux * Mac OSX * FreeBSD * Dragon Fly BSD * Sun OS * AIX (not properly tested) === Supported python versions === >From 2.5 to 3.4. -- Giampaolo - http://grodola.blogspot.com

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PyGObject 3.13.2 Released
by Simon Feltman May 26, 2014

May 26, 2014

I am pleased to announce version 3.13.2 of the Python bindings for GObject. This is the third alpha release of the 3.13.x series which will result in a stable GNOME 3.14 release. This release fixes a many long standing issues and hits a milestone in our testing of having over 1,000 unit tests. Download ======== The new release is available from ftp.gnome.org: https://download.gnome.org/sources/pygobject/3.13/pygobject-3.13.2.tar.xz (693K) sha256sum: 69eb8b642463ca26644a64019ed539c5185ed2abd06600dfc83e793cd028a8de What's new in PyGObject 3.13.2 ================================= - Unification of GLib.GError and GLib.Error. GLib.Error should be used for any exception handling while GLib.GError is a compatibility alias. (Simon Feltman) (#712519) - New API gi.require_foreign() for ensuring cairo marshalling is supported. (Simon Feltman) (#707735) - Automatic marshalling of cairo objects from non-introspected signal arguments. (Simon Feltman) (#694604) - GTypeClass methods are now directly available on Python GObject classes. This allows calling previously un-available methods like: Gtk.Widget.list_child_properties (Johan Dahlin) (#685218) - Gtk.Container.child_get_property and Gtk.Widget.style_get_property now return Python native values and the pass-by-reference "value" argument is optional. - Add Gtk.Container.child_get and child_set for working with multiple child properties (Simon Feltman) (#685076) - Python 3.4 make check fixes - PEP8 fixes About PyGObject =============== GObject is a object system used by GTK+, GStreamer and other libraries. PyGObject provides a convenient wrapper for use in Python programs when accessing GObject libraries. Like the GObject library itself PyGObject is licensed under the GNU LGPL, so is suitable for use in both free software and proprietary applications. It is already in use in many applications ranging from small single purpose scripts up to large full featured applications. PyGObject now dynamically accesses any GObject libraries that uses GObject Introspection. It replaces the need for separate modules such as PyGTK, GIO and python-gnome to build a full GNOME 3.0 application. Once new functionality is added to gobject library it is instantly available as a Python API without the need for intermediate Python glue.

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PyGObject 3.12.2 Released
by Simon Feltman May 26, 2014

May 26, 2014

I am pleased to announce version 3.12.2 of the Python bindings for GObject. This is the third release in the stable 3.12.x series for GNOME 3.12. Download ======== The new release is available from ftp.gnome.org: https://download.gnome.org/sources/pygobject/3.12/pygobject-3.12.2.tar.xz (686K) sha256sum: 7e7a3d349acf5bb4b68f8539a42e67958840a67cd4f0341ee9aa49189af2a522 What's new in PyGObject 3.12.2 ================================= - PEP8 fixes - Python 3.4 make check fixes About PyGObject =============== GObject is a object system used by GTK+, GStreamer and other libraries. PyGObject provides a convenient wrapper for use in Python programs when accessing GObject libraries. Like the GObject library itself PyGObject is licensed under the GNU LGPL, so is suitable for use in both free software and proprietary applications. It is already in use in many applications ranging from small single purpose scripts up to large full featured applications. PyGObject now dynamically accesses any GObject libraries that uses GObject Introspection. It replaces the need for separate modules such as PyGTK, GIO and python-gnome to build a full GNOME 3.0 application. Once new functionality is added to gobject library it is instantly available as a Python API without the need for intermediate Python glue.

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cx_Oracle 5.1.3
by Anthony Tuininga May 25, 2014

May 25, 2014

What is cx_Oracle? cx_Oracle is a Python extension module that enables access to Oracle for Python 2.x and 3.x and conforms to the Python database API 2.0 specifications with a number of enhancements. Where do I get it? http://cx-oracle.sourceforge.net What's new? http://cx-oracle.readthedocs.org/en/latest/releasenotes.html

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ANN: SfePy 2014.2
by Robert Cimrman May 23, 2014

May 23, 2014

I am pleased to announce release 2014.2 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. The code is based on NumPy and SciPy packages. It is distributed under the new BSD license. This release brings a preliminary support for isogeometric analysis - a recently developed computational approach that allows using the NURBS-based domain description from CAD design tools also for approximation purposes similar to the finite element method. Home page: http://sfepy.org Mailing list: http://groups.google.com/group/sfepy-devel Git (source) repository, issue tracker, wiki: http://github.com/sfepy Highlights of this release -------------------------- - preliminary support for isogeometric analysis - improved post-processing and visualization script for time-dependent problems with adaptive time steps - three new terms For full release notes see http://docs.sfepy.org/doc/release_notes.html#id1 (rather long and technical). Best regards, Robert Cimrman and Contributors (*) (*) Contributors to this release (alphabetical order): Vladimír Lukeš

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