Mailman 3 May 2013 - Python-announce-list

pyroute2 0.1.7 - netlink library
by Peter V. Saveliev May 29, 2013

May 29, 2013

… Pyroute2 is a pure-Python netlink library with several modules: * generic: encode/decode netlink messages * iproute: low-level NETLINK_ROUTE operations * ipdb: transactional network configuration database The library is quite young, but grows fast. Version 0.1.7 brings some important features: iproute ======= * experimental support for QoS: ingress, sfq, tbf, htb, u32 A reasonable and well-documented QoS support is planned for 0.2.0, but one can start to play with it already … [View More]

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[ANN] Training: Advanced Python at EuroPython, Florence, July 6 - 7, 2013
by Mike Müller May 29, 2013

May 29, 2013

Advanced Python =============== What: Advanced Python - Who is afraid of metaclasses? When: July 6 - 7, 2013 Where: at EuroPython 2013, Florence, Italy Instructor: Mike Müller (eight years of Python training experience) Details: https://ep2013.europython.eu/conference/talks/advanced-python-2 You have intermediate Python skills and would like learn more about: * Comprehensions * Decorators * Context managers * Descriptors * Metaclasses and * Patterns? Than you should attend this two-day … [View More]

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PyCon Ireland Early Bird tickets ending in just over 2 weeks
by Vicky Lee - Python Ireland May 29, 2013

May 29, 2013

Hi All, When: 12th - 15th October 2013 Where: Burlington Hotel (conference) / College of Computer Training (sprints), Dublin Early Bird tickets are still available. Just over two weeks left! Ends *June 16th*. Buy yours at http://python.ie/pycon/ If you are interested in any of the sprints, you can register via http://python.ie/pycon/ as well. Call for Proposals <http://bit.ly/speakerpyconie> and Sponsors<http://bit.ly/sponsorpyconie>are still open. If you have any questions, … [View More]

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[ANN] pypiserver 1.1.1 - minimal private pypi server
by Ralf Schmitt May 28, 2013

May 28, 2013

Hi, I've just uploaded pypiserver 1.1.1 to the python package index. pypiserver is a minimal PyPI compatible server. It can be used to serve a set of packages and eggs to easy_install or pip. pypiserver is easy to install (i.e. just 'pip install pypiserver'). It doesn't have any external dependencies. https://pypi.python.org/pypi/pypiserver/ should contain enough information to easily get you started running your own PyPI server in a few minutes. The code is available on github: https://… [View More]

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PyDev 2.7.5 Released
by Fabio Zadrozny May 28, 2013

May 28, 2013

Hi All, PyDev 2.7.5 has been released Details on PyDev: http://pydev.org Details on its development: http://pydev.blogspot.com Release Highlights: ------------------------------- * Icons in the outline are now correct. * Fixed deadlock found on code analysis. * Project-related error markers no longer created in the main thread. * Showing a dialog to select template when a new module is created. * PyUnit view output font uses the same font as the console * New option in auto-formatting … [View More]

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ANN: python-ldap 2.4.11
by Michael Ströder May 27, 2013

May 27, 2013

Find a new release of python-ldap: http://pypi.python.org/pypi/python-ldap/2.4.11 python-ldap provides an object-oriented API to access LDAP directory servers from Python programs. It mainly wraps the OpenLDAP 2.x libs for that purpose. Additionally it contains modules for other LDAP-related stuff (e.g. processing LDIF, LDAP URLs and LDAPv3 schema). Project's web site: http://www.python-ldap.org/ Ciao, Michael. ---------------------------------------------------------------- Released … [View More]

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SQLObject 1.3.3 and 1.4.1
by Oleg Broytman May 26, 2013

May 26, 2013

Hello! I'm pleased to announce bugfix releases 1.3.3 and 1.4.1. What's new in SQLObject ======================= * Fixed bugs in pickling and unpickling (remove/restore a weak proxy to self, fixed cache handling). * Added an example of using SQLObject with web.py to the links page. Contributors for this release are Andrew Trusty and Rhubarb Sin. For a more complete list, please see the news: http://sqlobject.org/News.html What is SQLObject ================= SQLObject is an object-… [View More]

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PyModel 1.0: model-based testing in Python
by jon.p.jacky＠gmail.com May 25, 2013

May 25, 2013

PyModel v 1.0 is released. PyModel is a model-based testing framework for Python. In model-based testing, you code a model that can generate as many test cases as needed; the model also checks the test outcomes. In the samples included with PyModel, there are models and test scripts for network sockets, a communication protocol, embedded controllers, some data structures, a multithreaded application, and a web application. PyModel also includes an analyzer for validating models, visualizing … [View More]their behavior, and checking their safety properties. Earlier public releases were versions 0.80 in Jan 2010, 0.85 in Mar 2010, and 0.90 in July 2011. Since July 2011 ongoing work has been available at GitHub: https://github.com/jon-jacky/PyModel/ PyModel can also be downloaded from PyPI http://pypi.python.org/pypi/PyModel or the author's web page at http://staff.washington.edu/jon/pymodel/www/ This release is called version 1.0 because it includes all of the features considered in the original project plan. (Development and maintenance will continue beyond this release.) Version 1.0 adds new functionality: - The PyModel Tester pmt supports observable actions and asynchronous steppers, to handle event-driven systems and nondeterminism. - The PyModel Analyzer pma performs safety analysis by checking state invariants. The PyModel Graphics program pmg indicates unsafe states in the generated graphs. - The new PyModel Viewer command pmv combines the functionality of the PyModel Analyzer pma, the PyModel Graphics program pmg, and the Graphviz dot program in a single command, for convenience and brevity. - The options to include or exclude actions, -a and -e, are now supported for FSMs and TestSuites as well as Model Programs, so you can use the command line to select which actions to include in your analyses or tests, even when you compose model programs with scenario machines. - The tester pmt provides a timeout option to specify that the test fails if the implementation does not respond within a given deadline. (This option might not work on Windows.) - The PyModel programs pma, pmg, pmt, and pmv can be run from the command line without the .py extension, like any other command. You can just type pmt ... , you no longer have to type pmt.py ... - The regression testing command tdiff replaces clogdiff. It works the same - this is just a renaming. The clogdiff command is retained in this version for backward compatibility, but is now deprecated. - The new command tclean removes test output files from the current directory. - The revised setup.py now supports the install argument, to optionally install the PyModel python modules and commands in system directories. Now PyModel can be installed using distutils (... setup.py install ...) or pip. Version 1.0 adds a new sample and revises all the others: - The completely rewritten Socket sample includes new asynchronous steppers (test harnesses) that show how to support asynchrony and nondeterminism using the select function, or alternatively, using threads. The Socket sample also includes new simulators that can optionally replace the the Python standard library socket and select modules, to demonstrate greater nondeterminism and transmission errors. - The new safety sample demonstrates state invariants and safety analysis. - There are new fsmpy/ and svg/ directories in each sample that contain FSM modules and SVG graphics files generated by the commands in the test scripts. - Many sample test scripts (test*.py modules) have been revised and the corresponding reference output (*.ref files) has been regenerated. Version 1.0 adds much new documentation and revises the rest: - There are new README.md (Markdown format) files in PyModel in most top-level directories below PyModel. - The new README.md in the samples directory briefly describes every sample. The new README.md in each sample directory explains that sample in more detail, and describes every file in that sample. - The documentation in the notes directory has been expanded and brought up to date. There are new and revised .txt files. Some .txt files have been replaced by .md (Markdown format) files. - The web pages in the www directory have been expanded and brought up to date. The content in these pages is drawn from .md files and .txt files in other PyModel directories. Version 1.0 reorganizes some code and directory structure: - There is a new bin directory for commands and scripts, separated from the pymodel directory for Python modules. - There is a new model.py module that contains the Model base class for the ModelProgram, FSM, TestSuite classes. Version 1.0 makes some bug fixes: - The programs no longer crash when a parameter generator is missing. Now they issue a helpful error message and exit. - The pmt program cancels the timeout when a timeout was requested but did not expire. - When models are composed, omitted arguments are handled correctly (usually, as "match any" indicators). - The pmt -o offline test generator option works. [View Less]

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ANN: New WinPython with Python 2.7.5 and 3.3.2 (32/64bit)
by Pierre Raybaut May 25, 2013

May 25, 2013

Hi all, I am pleased to announce that four new versions of WinPython have been released yesterday with Python 2.7.5 and 3.3.2, 32 and 64 bits. Many packages have been added or upgraded. Special thanks to Christoph Gohlke for building most of the binary packages bundled in WinPython. WinPython is a free open-source portable distribution of Python for Windows, designed for scientists. It is a full-featured (see http://code.google.com/p/winpython/wiki/PackageIndex) Python-based scientific … [View More]

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ANN: python-blosc 1.1 (final) released
by Francesc Alted May 24, 2013

May 24, 2013

=========================== Announcing python-blosc 1.1 =========================== What is it? =========== python-blosc (http://blosc.pydata.org/) is a Python wrapper for the Blosc compression library. Blosc (http://blosc.org) is a high performance compressor optimized for binary data. It has been designed to transmit data to the processor cache faster than the traditional, non-compressed, direct memory fetch approach via a memcpy() OS call. Whether this is achieved or not depends of the … [View More]data compressibility, the number of cores in the system, and other factors. See a series of benchmarks conducted for many different systems: http://blosc.org/trac/wiki/SyntheticBenchmarks. Blosc works well for compressing numerical arrays that contains data with relatively low entropy, like sparse data, time series, grids with regular-spaced values, etc. There is also a handy command line for Blosc called Bloscpack (https://github.com/esc/bloscpack) that allows you to compress large binary datafiles on-disk. Although the format for Bloscpack has not stabilized yet, it allows you to effectively use Blosc from your favorite shell. What is new? ============ - Added new `compress_ptr` and `decompress_ptr` functions that allows to compress and decompress from/to a data pointer, avoiding an itermediate copy for maximum speed. Be careful, as these are low level calls, and user must make sure that the pointer data area is safe. - Since Blosc (the C library) already supports to be installed as an standalone library (via cmake), it is also possible to link python-blosc against a system Blosc library. - The Python calls to Blosc are now thread-safe (another consequence of recent Blosc library supporting this at C level). - Many checks on types and ranges of values have been added. Most of the calls will now complain when passed the wrong values. - Docstrings are much improved. Also, Sphinx-based docs are available now. Many thanks to Valentin Hänel for his impressive work for this release. For more info, you can see the release notes in: https://github.com/FrancescAlted/python-blosc/wiki/Release-notes More docs and examples are available in the documentation site: http://blosc.pydata.org Installing ========== python-blosc is in PyPI repository, so installing it is easy: $ pip install -U blosc # yes, you should omit the python- prefix Download sources ================ The sources are managed through github services at: http://github.com/FrancescAlted/python-blosc Documentation ============= There is Sphinx-based documentation site at: http://blosc.pydata.org/ Mailing list ============ There is an official mailing list for Blosc at: blosc(a)googlegroups.com http://groups.google.es/group/blosc Licenses ======== Both Blosc and its Python wrapper are distributed using the MIT license. See: https://github.com/FrancescAlted/python-blosc/blob/master/LICENSES for more details. Enjoy! -- Francesc Alted [View Less]

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