Mailman 3 July 2014 - Python-announce-list

devpi-2.0.0: web/search UI, replication, fixes
by holger krekel 16 Jul '14

16 Jul '14

devpi-2.0.0: web, search, replication for PyPI indexes ========================================================== The devpi system in version 2.0 brings tons of fixes and new features for the private github-style pypi caching server, most notably: - a new web interface featuring search of metadata and documentation as well as easier navigation and showing of test results per release file. - a new transactional storage system (based on sqlite) supporting real-time replication over http. - a new (experimental) hook system for extending server-side functionality. - ported to a solid web framework and wsgi-server: pyramid and waitress. Upgrade note: devpi-server-2.0 requires to ``--export`` your 1.2 server state and then using ``--import`` with the new version before you can serve your private packages through devpi-server-2.0.0. Also, please checkout the web plugin if you want to have a web interface:: http://doc.devpi.net/2.0/web.html Here is a Quickstart tutorial for efficient pypi-mirroring on your laptop:: http://doc.devpi.net/2.0/quickstart-pypimirror.html And if you want to manage your releases or implement staging as an individual or within an organisation:: http://doc.devpi.net/2.0/quickstart-releaseprocess.html If you want to host a devpi-server installation with nginx/supervisor and access it from clients from different hosts:: http://doc.devpi.net/2.0/quickstart-server.html More documentation here:: http://doc.devpi.net/2.0/ many many thanks to Florian Schulze who implemented the new ``devpi-web`` package and helped with many other improvements. have fun, Holger Krekel, merlinux GmbH 2.0.0 -------------- devpi-server: - major revamp of the internal core of devpi to support replication (both master and server code), a plugin architecture with the new devpi-web plugin providing a new web interface. Mostly done by Florian Schulze and Holger Krekel. - moved all html views except for files and the simple index to new devpi-web package. Thanks to Florian Schulze for the PR. - implement issue103: By default if you register a package in an index, no lookup on pypi is made for that package anymore. You have to add the package to the pypi_whitelist of the index to let pypi releases be mixed in. This is to prevent malicious uploads on pypi to overwrite private packages. - change json api to get rid of the different meaning of URLs with and without a trailing slash. "/{user}/" is now the same as "/user" and always lists indices. "/{user}/{index}" and "/{user}/{index}/ now always lists the index config and the contained per-stage projects (not inherited ones). - switch the wsgi app to use Pyramid and waitress for WSGI serving. - don't refresh releaselinks from the mirroring thread but rather rely on the next access to do it. - fix issue98: deleting a project config or a project version now accepts names which map to the canonical name of a project. - fix issue82 and fix issue81: root/pypi now provides the same attributes as normal indexes and results in a 409 MethodNotAllowed http code when trying to change the config. - fix issue91: make serverport available as well. Thanks David Bonner. - fix issue100: support large file uploads. As we switched away from bottle to pyramid, the body-size limit is gone. - fix issue99: make "devpi-server --start" etc work when devpi-server is not itself on PATH (by using sys.argv[0] for finding the binary) - fix issue84: uploading of wheels where the registered package name has an underscore works despite a wheel's metadata carrying hyphens instead. At submit-file time we now lookup the registered name and use that instead of assuming the one coming with the wheel is the correct one. - add refresh button on root/pypi project simple index pages which clears the internal cache to force a refetch from PyPI. - implement issue75: We use the custom X-Devpi-Auth header for authentication now, instead of overwriting the Authentication header. - added experimental support for using client certificates when running as a replica of a server running behind a proxy devpi-client: - Compatibility with devpi-server >= 2.0.0 - introduce "patchjson PATH JSONFILE" command which allows to send a request containing a json data structure to a specified path - fix issue85: "devpi list -v" now shows package names with latest versions. - implement issue75: We use the custom X-Devpi-Auth header for authentication now, instead of overwriting the Authentication header. - added experimental support for basic authentication by parsing user and password from the url given to the "devpi use" command. - issue74: added experimental support for client side certificates via "devpi use --client-cert" devpi-web: - initial release

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tox-1.7.2: few fixes / posargs parsing change
by holger krekel 15 Jul '14

15 Jul '14

Hi everybody, Just released tox-1.7.2 to PYPI, see the changelog below. Note: if you need bugs fixed or features implemented please submit PRs. Docs about tox: http://tox.testrun.org And repos and issues at: https://bitbucket.org/hpk42/tox have fun, holger 1.7.2 ----------- - fix issue150: parse {posargs} more like we used to do it pre 1.7.0. The 1.7.0 behaviour broke a lot of OpenStack projects. See PR85 and the issue discussions for (far) more details, hopefully resulting in a more refined behaviour in the 1.8 series. And thanks to Clark Boylan for the PR. - fix issue59: add a config variable ``skip-missing-interpreters`` as well as command line option ``--skip-missing-interpreters`` which won't fail the build if Python interpreters listed in tox.ini are missing. Thanks Alexandre Conrad for PR104. - fix issue164: better traceback info in case of failing test commands. Thanks Marc Abramowitz for PR92. - support optional env variable substitution, thanks Morgan Fainberg for PR86. - limit python hashseed to 1024 on Windows to prevent possible memory errors. Thanks March Schlaich for the PR90.

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Rainbowstream v0.3.1 Twitter List supports
by Minh Nhat 13 Jul '14

13 Jul '14

HI, I'm happy to announce that Rainbowstream v0.3.1 is released. v0.3.1 is support various commands of Twitter list. Detail information can be found at http://rainbowstream.readthedocs.org/en/latest/ Homepage: http://www.rainbowstream.org/ Github: https://github.com/DTVD/rainbowstream License: MIT Author: Vu Nhat Minh (@dtvd88)

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[ANN] pyspread 0.3.1
by Martin Manns 11 Jul '14

11 Jul '14

============== pyspread 0.3.1 ============== Pyspread 0.3.1 is released. This is a bugfix release that removes an annoying warning on the console. About pyspread ============== Pyspread is a non-traditional spreadsheet application 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: http://manns.github.com/pyspread/ Download page: https://pypi.python.org/pypi/pyspread What is new in 0.3.1 ==================== + Bugfix + Updated German localization + Updated Ukrainian localization Enjoy Martin

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ANN: Rainbowstream v0.2.8 Python 3 supports
by Minh Nhat 11 Jul '14

11 Jul '14

HI, I'm happy to announce that Rainbowstream v0.2.8 is released. v0.2.8 is fully rewritten for the compatibility with both Python2 and 3. The detail installation instruction can be found at https://github.com/DTVD/rainbowstream#the-recommended-way Rainbow Stream is a smart and nice Twitter client on terminal. It has colourful stream, interactive commands and beautiful built-in themes. It even can display an image directly on terminal. Homepage: http://www.rainbowstream.org/ Github: https://github.com/DTVD/rainbowstream License: MIT Author: Vu Nhat Minh (@dtvd88)

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ANN: pandas 0.14.1 released
by Jeff Reback 11 Jul '14

11 Jul '14

Hello, We are proud to announce v0.14.1 of pandas, a minor release from 0.14.0. 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 1.5 months of work with 244 commits by 45 authors encompassing 306 issues. We recommend that all users upgrade to this version. *Highlights:* - New method select_dtypes() <http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.sele…> to select columns based on the dtype - New method sem() <http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.sem.htm…> to calculate the standard error of the mean. - Support for dateutil timezones (see *docs* <http://pandas.pydata.org/pandas-docs/stable/timeseries.html#timeseries-time…> ). - Support for ignoring full line comments in the read_csv() <http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html#…>text parser. - New documentation section on *Options and Settings* <http://pandas.pydata.org/pandas-docs/stable/options.html#options>. - Lots of bug fixes For a more a full description of Whatsnew for v0.14.1 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 0.14.1 release - Andrew Rosenfeld - Andy Hayden - Benjamin Adams - Benjamin M. Gross - Brian Quistorff - Brian Wignall - bwignall - clham - Daniel Waeber - David Bew - David Stephens - DSM - dsm054 - helger - immerrr - Jacob Schaer - jaimefrio - Jan Schulz - John David Reaver - John W. O’Brien - Joris Van den Bossche - jreback - Julien Danjou - Kevin Sheppard - K.-Michael Aye - Kyle Meyer - lexual - Matthew Brett - Matt Wittmann - Michael Mueller - Mortada Mehyar - onesandzeroes - Phillip Cloud - Rob Levy - rockg - sanguineturtle - Schaer, Jacob C - seth-p - sinhrks - Stephan Hoyer - Thomas Kluyver - Todd Jennings - TomAugspurger - unknown - yelite

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ANN: eGenix mx Base Distribution 3.2.8 (mxDateTime, mxTextTools, etc.)
by eGenix Team: M.-A. Lemburg 11 Jul '14

11 Jul '14

________________________________________________________________________ ANNOUNCING eGenix.com mx Base Distribution mxDateTime, mxTextTools, mxProxy, mxURL, mxUID, mxBeeBase, mxStack, mxQueue, mxTools Version 3.2.8 Open Source Python extensions providing important and useful services for Python programmers. This announcement is also available on our web-site for online reading: http://www.egenix.com/company/news/eGenix-mx-Base-Distribution-3.2.8-GA.html ________________________________________________________________________ ABOUT The eGenix.com mx Base Distribution for Python is a collection of professional quality software tools which enhance Python's usability in many important areas such as fast text searching, date/time processing and high speed data types. The tools have a proven track record of being portable across many Unix and Windows platforms. You can write applications which use the tools on Windows and then run them on Unix platforms without change due to the consistent platform independent interfaces. Contents of the distribution: * mxDateTime - Easy to use Date/Time Library for Python * mxTextTools - Fast Text Parsing and Processing Tools for Python * mxProxy - Object Access Control for Python * mxBeeBase - On-disk B+Tree Based Database Kit for Python * mxURL - Flexible URL Data-Type for Python * mxUID - Fast Universal Identifiers for Python * mxStack - Fast and Memory-Efficient Stack Type for Python * mxQueue - Fast and Memory-Efficient Queue Type for Python * mxTools - Fast Everyday Helpers for Python The package also include a number of helpful smaller modules in the mx.Misc subpackage, such as mx.Misc.ConfigFile for config file parsing or mx.Misc.CommandLine to quickly write command line applications in Python. All available packages have proven their stability and usefulness in many mission critical applications and various commercial settings all around the world. For more information, please see the distribution page: http://www.egenix.com/products/python/mxBase/ ________________________________________________________________________ NEWS The 3.2.8 release of the eGenix mx Base Distribution is the latest release of our open-source Python extensions. It includes these fixes and enhancements: Installation Enhancements ------------------------- * Added web installer support to mxSetup, the distutils extension module which drives all our product installations. Uploaded web installer package to PyPI which simplifies installation. In addition to the usual ways of installing eGenix mx Base, we have uploaded a web installer to PyPI, so that it is now also possible to use one of these installation methods on all supported platforms (Windows, Linux, FreeBSD, Mac OS X): - easy_install egenix-mx-base via PyPI - pip install egenix-mx-base via PyPI - egenix-mx-base egg reference in zc.buildout via PyPI - running "python setup.py install" in the unzipped web installer archive directory The web installer will automatically detect the platform and choose the right binary download package for you. All downloads are verified before installation. Fixes ----- * mxDateTime: Protected delta.strftime() against segfaults on Windows, which only allows day values <= 31 and segfaults for higher values. Thanks to Frank Boje for reporting this problem. * mxTextTools: Fixed a double decref in the tagging engine that surfaced when using custom tag objects and appending the results to them. Thanks to Richard Moseley for the report. Compatibility Enhancements -------------------------- * Prepared eGenix mx Base for two digit Python patch level numbers such as Python 2.7.10 eGenix mx Base Distribution 3.2.0 was release on 2012-08-28. Please see the announcement for new features in the 3.2 major release compared to earlier releases: http://www.egenix.com/company/news/eGenix-mx-Base-Distribution-3.2.0-GA.html For a full list of changes, please refer to the eGenix mx Base Distribution change log and the change logs of the various included Python packages. http://www.egenix.com/products/python/mxBase/changelog.html ________________________________________________________________________ UPGRADING We encourage all users to upgrade to this latest eGenix mx Base Distribution release. If you are upgrading from eGenix mx Base 3.1.x, please see the eGenix mx Base Distribution 3.2.0 release notes for details on what has changed since the 3.1 major release. http://www.egenix.com/company/news/eGenix-mx-Base-Distribution-3.2.0-GA.html ________________________________________________________________________ LICENSE The eGenix mx Base package is distributed under the eGenix.com Public License 1.1.0 which is an Open Source license similar to the Python license. You can use the packages in both commercial and non-commercial settings without fee or charge. This open source distribution package comes with full source code. ________________________________________________________________________ DOWNLOADS The download archives and instructions for installing the packages can be found on the eGenix mx Base Distribution page: http://www.egenix.com/products/python/mxBase/ If you want to try the package, please jump straight to the download instructions or simply run "pip install egenix-mx-base". As always, we are providing pre-built binaries for all common platforms: Windows 32/64-bit, Linux 32/64-bit, FreeBSD 32/64-bit, Mac OS X 32/64-bit. Source code archives are available for installation on all other Python platforms, such as Solaris, AIX, HP-UX, etc. To simplify installation in Zope/Plone and other egg-based systems, we have also precompiled egg distributions for all platforms. These are available on our own PyPI-style index server for easy and automatic download. Please see the download instructions for details: http://www.egenix.com/products/python/mxBase/#Download Whether you are using a prebuilt package or the source distribution, installation is a simple "python setup.py install" command in all cases. The only difference is that the prebuilt packages do not require a compiler or the Python development packages to be installed. ________________________________________________________________________ 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. ________________________________________________________________________ MORE INFORMATION For more information on the eGenix mx Base Distribution, documentation and installation notes, please visit our web-site: http://www.egenix.com/products/python/mxBase/ 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, Jul 11 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/ ________________________________________________________________________ 2014-07-21: EuroPython 2014, Berlin, Germany ... 10 days to go ::::: 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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Karlsruhe (Germany) Python User Group, July 18th 2014, 7pm
by Jürgen A. Erhard 10 Jul '14

10 Jul '14

The Karlsruhe Python User Group (KaPy) meets again. Friday, 2014-07-18 (July 18th) at 19:00 (7pm) in the rooms of Entropia eV (the local affiliate of the CCC). See http://entropia.de/wiki/Anfahrt on how to get there. For your calendars: meetings are held monthly, on the 3rd Friday. There's also a mailing list at https://lists.bl0rg.net/cgi-bin/mailman/listinfo/kapy.

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ANN: Bokeh 0.5 released
by Bryan Van de Ven 09 Jul '14

09 Jul '14

I am very happy to announce the release of Bokeh version 0.5! (http://continuum.io/blog/bokeh-0.5) Bokeh is a Python library for visualizing large and realtime datasets on the web. This release includes many new features: weekly dev releases, a new plot frame, a click tool, "always on" hover tool, multiple axes, log axes, minor ticks, gears and gauges glyphs, and an NPM BokehJS package. Several usability enhancements have been made to the plotting.py interface to make it even easier to use. The Bokeh tutorial also now includes exercises in IPython notebook form. Of course, we've made many little bug fixes - see the CHANGELOG for full details. The biggest news is all the long-term and architectural goals landing in Bokeh 0.5: * Widgets! Build apps and dashboards with Bokeh * Very high level bokeh.charts interface * Initial Abstract Rendering support for big data visualizations * Tighter Pandas integration * Simpler, easier plot embedding options Expect dynamic, data-driven layouts, including ggplot style auto-faceting in upcoming releases, as well as R language bindings, more statistical plot types in bokeh.charts, and cloud hosting for Bokeh apps. Check out the full documentation, interactive gallery, and tutorial at http://bokeh.pydata.org as well as the new Bokeh IPython notebook nbviewer index (including all the tutorials) at: http://nbviewer.ipython.org/github/ContinuumIO/bokeh-notebooks/blob/master/… If you are using Anaconda, you can install with conda: conda install bokeh Alternatively, you can install with pip: pip install bokeh BokehJS is also available by CDN for use in standalone javascript applications: http://cdn.pydata.org/bokeh-0.5.min.js http://cdn.pydata.org/bokeh-0.5.min.css Issues, enhancement requests, and pull requests can be made on the Bokeh Github page: https://github.com/continuumio/bokeh Questions can be directed to the Bokeh mailing list: bokeh(a)continuum.io If you have interest in helping to develop Bokeh, please get involved! Special thanks to recent contributors: Tabish Chasmawala, Samuel Colvin, Christina Doig, Tarun Gaba, Maggie Mari, Amy Troschinetz, Ben Zaitlen. Bryan Van de Ven Continuum Analytics http://continuum.io

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ANN: eGenix mxODBC 3.3.1 - Python ODBC Database Interface
by eGenix Team: M.-A. Lemburg 09 Jul '14

09 Jul '14

________________________________________________________________________ ANNOUNCING eGenix.com mxODBC Python ODBC Database Interface Version 3.3.1 mxODBC is our commercially supported Python extension providing ODBC database connectivity to Python applications on Windows, Mac OS X, Unix and BSD platforms This announcement is also available on our web-site for online reading: http://www.egenix.com/company/news/eGenix-mxODBC-3.3.1-GA.html ________________________________________________________________________ INTRODUCTION mxODBC provides an easy-to-use, high-performance, reliable and robust Python interface to ODBC compatible databases such as MS SQL Server, MS Access, Oracle Database, IBM DB2 and Informix , Sybase ASE and Sybase Anywhere, MySQL, PostgreSQL, SAP MaxDB and many more: http://www.egenix.com/products/python/mxODBC/ The "eGenix mxODBC - Python ODBC Database Interface" product is a commercial extension to our open-source eGenix mx Base Distribution: http://www.egenix.com/products/python/mxBase/ ________________________________________________________________________ NEWS The 3.3.1 release of our mxODBC is a patch level release of our popular Python ODBC Interface for Windows, Linux, Mac OS X and FreeBSD. It includes these enhancements and fixes: Installation Enhancements ------------------------- * Added web installer package to the Python Package Index (PyPI) which simplifies installation. In addition to the usual ways of installing mxODBC, we have uploaded a web installer to PyPI, so that it is now also possible to use one of these installation methods on all supported platforms (Windows, Linux, FreeBSD, Mac OS X): - easy_install egenix-mxodbc via PyPI - pip install egenix-mxodbc via PyPI - egg reference in zc.buildout via PyPI - running "python setup.py install" in the unzipped web installer archive directory The web installer will automatically detect the platform and choose the right binary download package for you. All downloads are verified before installation. Driver Compatibility -------------------- SQL Server * Fixed a problem with custom errorhandlers set at connection time, which could result in warnings not being ignored during connect. SQL Server raises such warnings during connect, so this fix will restore mxODBC 3.2 behavior for SQL Server. * Documented a solution for a problem with the SQL Server 2012 parser complaining about not being able to deduce types of some operations using more than one bound variable, e.g. "col1 >= ? + ?". Teradata * Improved the Teradata ODBC driver setup instructions to address some common gotchas when setting up mxODBC to work with these drivers. * Fixed a problem with Teradata and the test suite which resulted in an error "[Teradata][ODBC Teradata Driver] Beyond SQL_ACTIVE_STATEMENTS limit". The driver needs an explicit call to cursor.flush() to close any open result sets before running commits or rollbacks. Misc ---- * Fixed a problem in cursor.getcolattributes() that caused errors to be ignored. * Added better protection against ODBC driver bugs in getenvattr(). * Fixed an attribute error when using the NamespaceRowFactory function. * Fixed a deprecation warning when using the NamespaceRowFactory function. * Prepared mxODBC for two digit Python patch level numbers, ie. 2.7.10. * Fixed prebuilt archives to also work correctly with easy_install. * Added dependency on egenix-mx-base, so that easy_install and pip automatically install the mx Base package as well. For the full set of changes please check the mxODBC change log: http://www.egenix.com/products/python/mxODBC/changelog.html ________________________________________________________________________ FEATURES mxODBC 3.3 was released on 2014-04-08. Please see the full announcement for highlights of the 3.3 release: http://www.egenix.com/company/news/eGenix-mxODBC-3.3.0-GA.html For the full set of features mxODBC has to offer, please see: http://www.egenix.com/products/python/mxODBC/#Features ________________________________________________________________________ EDITIONS mxODBC is available in these two editions: * The Professional Edition, which gives full access to all mxODBC features. * The Product Development Edition, which allows including mxODBC in applications you develop. For a complete overview of the available editions, please see the product page: http://www.egenix.com/products/python/mxODBC/#mxODBCEditions ________________________________________________________________________ DOWNLOADS The download archives and instructions for installing the package can be found at: http://www.egenix.com/products/python/mxODBC/ In order to use the eGenix mxODBC package you will first need to install the eGenix mx Base package: http://www.egenix.com/products/python/mxBase/ ________________________________________________________________________ UPGRADING Users are encouraged to upgrade to this latest mxODBC release to benefit from the new features and updated ODBC driver support. We have taken special care not to introduce backwards incompatible changes, making the upgrade experience as smooth as possible. Customers who have purchased mxODBC 3.3 licenses can continue to use their licenses with this patch level release. For upgrade purchases, we will give out 20% discount coupons going from mxODBC 2.x to 3.3 and 50% coupons for upgrades from mxODBC 3.x to 3.3. Please contact the eGenix.com Sales Team with your existing license serials for details for an upgrade discount coupon. If you want to try the new release before purchase, you can request 30-day evaluation licenses by visiting our web-site http://www.egenix.com/products/python/mxODBC/#Evaluation 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. _______________________________________________________________________ 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 services and professional quality products for companies, Python users and developers. PS: If you want to meet with eGenix at EuroPython 2014, please send an email and we can arrange a meeting. Enjoy, -- Marc-Andre Lemburg eGenix.com Professional Python Services directly from the Source (#1, Jul 09 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/ ________________________________________________________________________ 2014-07-21: EuroPython 2014, Berlin, Germany ... 12 days to go ::::: 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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