Mailman 3 May 2013 - Python-announce-list

Revealing the PyCon Australia 2013 Programme!
by Chris Neugebauer 08 May '13

08 May '13

tl;dr: The PyCon Australia 2013 programme is out now -- you can see it at http://2013.pycon-au.org/programme/schedule/saturday -- registration info is up at http://2013.pycon-au.org/register/prices Now that we've announced both of our keynote presenters, PyCon Australia is very proud to be able to reveal the rest of the programme for the 2013 conference, to be held on Saturday 6 and Sunday 7 July 2013, following DjangoCon AU and the PyCon AU OpenStack Miniconf on Friday 5 July 2013 in Hobart, Tasmania. Following a record-breaking response to our Call for Proposals the conference will feature three full tracks of presentations and tutorials, across two days, covering all aspects of the Python ecosystem, presented by experts and core developers of key Python technology. Our keynote presenters, Alex Gaynor, software engineer at Rdio and core contributor to many Python open source projects, and Tennessee Leeuwenburg, software engineer at the Australian Bureau of Meteorology, will be joined by a wide array of presenters covering a broad range of backgrounds, including industry, research, government and academia. As ever, PyCon Australia is a great place to keep up-to-date with the latest trends in Python web technology: Django lead developer, Jacob Kaplan-Moss will be presenting on Building secure web apps: Python vs the OWASP Top 10. As well as DjangoCon AU, the main conference will feature talks on testing, deployment, and optimisation of Python-based web apps. For the first time, we've packed out an entire stream of talks on using Python in the Sciences. Centred around Edward Schofield's tutorial, Modern scientific computing and big data analytics in Python, there are also talks on the amazingly versatile IPython Notebook, and the Pandas numerical library. We've also made sure that beginners, or people looking to brush up on their Python skillset, have a clear path through the conference. Starting with Peter Lovett's Python 102 tutorial, you can rapidly enhance your knowledge of Python, and then you can attend our general stream talks to glean a snapshot of the state of the art in Python. The full schedule for PyCon Australia 2013 can be found at http://2013.pycon-au.org/programme/schedule/saturday Registrations for PyCon Australia 2013 are now open, with prices starting at AU$44 for students, and tickets for the general public starting at AU$198. All prices include GST, and more information can be found at http://2013.pycon-au.org/register/prices We're looking forward to seeing this excellent programme brought to life at PyCon Australia 2013, in Hobart, in July. === About PyCon Australia === PyCon Australia is the national conference for the Python Programming Community. The fourth PyCon Australia will be held on July 5--7, 2013 in Hobart, Tasmania, bringing together professional, student and enthusiast developers with a love for developing with Python. PyCon Australia informs the country’s Python developers with presentations, tutorials and panel sessions by experts and core developers of Python, as well as the libraries and frameworks that they rely on. To find out more about PyCon Australia 2013, visit our website at http://pycon-au.org or e-mail us at contact(a)pycon-au.org. PyCon Australia is presented by Linux Australia (www.linux.org.au) and acknowledges the support of our Platinum sponsor: Australian Computer Society (Tasmanian Branch) (www.acs.org.au); and our Gold Sponsors, Google Australia (www.google.com.au), the Tasmanian Government Department of Economic Development, and TasICT. For full details of our sponsors, see our website.

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ANN: pyroute2 (python netlink library) initial public release
by Peter V. Saveliev 07 May '13

07 May '13

General description =================== Started as python NETLINK_ROUTE library, pyroute2 provides simple netlink encoder/decoder. Families and messages supported by now: * rtnetlink: addresses, links, neighbors, routes * taskstats More netlink families to support are planned. Features ======== * pure-python, w/o any additional *.so or ctypes * transactional database for rtnetlink family * interfaces as context managers * transaction review() / rollback() / commit() * automatic transaction rollback() on commit() exception * monitors IP stack for changes * for old-school guys: old-style API ip.link('set', dev, param=…) * netlink-over-SOCK_STREAM — with TLS/SSL client/server auth IP stack monitoring allows not to fetch data from the system upon user's request, but keep it in sync all the time in the database, and on huge arrays of VLANs or VPN nics response even faster than C with ioctl() does — and still provide more info, 'cause through ioctl() not any data is available. Goals ===== The main goal is to provide simple (maybe even simplest) API for netlink usage. In the todo list are (beside of support for different netlink families) also userspace-to-userspace netlink transport, more auth mechanisms, e.g. SASL (in addition to TLS/SSL). Links ===== home: https://github.com/svinota/pyroute2 bugs: https://github.com/svinota/pyroute2/issues pypi: https://pypi.python.org/pypi/pyroute2 docs: http://peet.spb.ru/pyroute2/ Some easy code samples: http://peet.spb.ru/pyroute2/modules.html -- Peter V. Saveliev

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PyPy 2.0 alpha for ARM
by Maciej Fijalkowski 07 May '13

07 May '13

Hello. We're pleased to announce an alpha release of PyPy 2.0 for ARM. This is mostly a technology preview, as we know the JIT is not yet stable enough for the full release. However please try your stuff on ARM and report back. This is the first release that supports a range of ARM devices - anything with ARMv6 (like the Raspberry Pi) or ARMv7 (like Beagleboard, Chromebook, Cubieboard, etc.) that supports VFPv3 should work. We provide builds with support for both ARM EABI variants: hard-float and some older operating systems soft-float. This release comes with a list of limitations, consider it alpha quality, not suitable for production: * stackless support is missing. * assembler produced is not always correct, but we successfully managed to run large parts of our extensive benchmark suite, so most stuff should work. You can download the PyPy 2.0 alpha ARM release here: http://pypy.org/download.html Part of the work was sponsored by the `Raspberry Pi foundation`_. .. _`Raspberry Pi foundation`: http://www.raspberrypi.org/ What is PyPy? ============= PyPy is a very compliant Python interpreter, almost a drop-in replacement for CPython 2.7.3. It's fast due to its integrated tracing JIT compiler. This release supports ARM machines running Linux 32bit. Both hard-float ``armhf`` and soft-float ``armel`` builds are provided. ``armhf`` builds are created using the Raspberry Pi custom `cross-compilation toolchain`_ based on gcc-arm-linux-gnueabihf and should work on ARMv6 and ARMv7 devices running at least debian or ubuntu. ``armel`` builds are built using gcc-arm-linux-gnuebi toolchain provided by ubuntu and currently target ARMv7. If there is interest in other builds, such as gnueabi for ARMv6 or without requiring a VFP let us know in the comments or in IRC. .. _`cross-compilation toolchain`: https://github.com/raspberrypi Benchmarks ========== Everybody loves benchmarks. Here is a table of our benchmark suite (for ARM we don't provide it yet on http://speed.pypy.org, unfortunately). This is a comparison of Cortex A9 processor with 4M cache and Xeon W3580 with 8M of L3 cache. The set of benchmarks is a subset of what we run for http://speed.pypy.org that finishes in reasonable time. The ARM machine was provided by Calxeda. Columns are respectively: * benchmark name * PyPy speedup over CPython on ARM (Cortex A9) * PyPy speedup over CPython on x86 (Xeon) * speedup on Xeon vs Cortex A9, as measured on CPython * speedup on Xeon vs Cortex A9, as measured on PyPy * relative speedup (how much bigger the x86 speedup is over ARM speedup) (in case this table is not readable, please visit http://morepypy.blogspot.com/2013/05/pypy-20-alpha-for-arm.html) | Benchmark | PyPy vs CPython (arm) | PyPy vs CPython (x86) | x86 vs arm (pypy) | x86 vs arm (cpython) | relative speedup | | ai | 3.61 | 3.16 | 7.70 | 8.82 | 0.87 | | bm_mako | 3.41 | 2.11 | 8.56 | 13.82 | 0.62 | | chaos | 21.82 | 17.80 | 6.93 | 8.50 | 0.82 | | crypto_pyaes | 22.53 | 19.48 | 6.53 | 7.56 | 0.86 | | django | 13.43 | 11.16 | 7.90 | 9.51 | 0.83 | | eparse | 1.43 | 1.17 | 6.61 | 8.12 | 0.81 | | fannkuch | 6.22 | 5.36 | 6.18 | 7.16 | 0.86 | | float | 5.22 | 6.00 | 9.68 | 8.43 | 1.15 | | go | 4.72 | 3.34 | 5.91 | 8.37 | 0.71 | | hexiom2 | 8.70 | 7.00 | 7.69 | 9.56 | 0.80 | | html5lib | 2.35 | 2.13 | 6.59 | 7.26 | 0.91 | | json_bench | 1.12 | 0.93 | 7.19 | 8.68 | 0.83 | | meteor-contest | 2.13 | 1.68 | 5.95 | 7.54 | 0.79 | | nbody_modified | 8.19 | 7.78 | 6.08 | 6.40 | 0.95 | | pidigits | 1.27 | 0.95 | 14.67 | 19.66 | 0.75 | | pyflate-fast | 3.30 | 3.57 | 10.64 | 9.84 | 1.08 | | raytrace-simple | 46.41 | 29.00 | 5.14 | 8.23 | 0.62 | | richards | 31.48 | 28.51 | 6.95 | 7.68 | 0.91 | | slowspitfire | 1.28 | 1.14 | 5.91 | 6.61 | 0.89 | | spambayes | 1.93 | 1.27 | 4.15 | 6.30 | 0.66 | | sphinx | 1.01 | 1.05 | 7.76 | 7.45 | 1.04 | | spitfire | 1.55 | 1.58 | 5.62 | 5.49 | 1.02 | | spitfire_cstringio | 9.61 | 5.74 | 5.43 | 9.09 | 0.60 | | sympy_expand | 1.42 | 0.97 | 3.86 | 5.66 | 0.68 | | sympy_integrate | 1.60 | 0.95 | 4.24 | 7.12 | 0.60 | | sympy_str | 0.72 | 0.48 | 3.68 | 5.56 | 0.66 | | sympy_sum | 1.99 | 1.19 | 3.83 | 6.38 | 0.60 | | telco | 14.28 | 9.36 | 3.94 | 6.02 | 0.66 | | twisted_iteration | 11.60 | 7.33 | 6.04 | 9.55 | 0.63 | | twisted_names | 3.68 | 2.83 | 5.01 | 6.50 | 0.77 | | twisted_pb | 4.94 | 3.02 | 5.10 | 8.34 | 0.61 | It seems that Cortex A9, while significantly slower than Xeon, has higher slowdowns with a large interpreter (CPython) than a JIT compiler (PyPy). This comes as a surprise to me, especially that our ARM assembler is not nearly as polished as our x86 assembler. As for the causes, various people mentioned branch predictor, but I would not like to speculate without actually knowing. How to use PyPy? ================ We suggest using PyPy from a `virtualenv`_. Once you have a virtualenv installed, you can follow instructions from `pypy documentation`_ on how to proceed. This document also covers other `installation schemes`_. .. _`pypy documentation`: http://doc.pypy.org/en/latest/getting-started.html#installing-using-virtual… .. _`virtualenv`: http://www.virtualenv.org/en/latest/ .. _`installation schemes`: http://doc.pypy.org/en/latest/getting-started.html#installing-pypy .. _`PyPy and pip`: http://doc.pypy.org/en/latest/getting-started.html#installing-pypy We would not recommend using in production PyPy on ARM just quite yet, however the day of a stable PyPy ARM release is not far off. Cheers, fijal, bivab, arigo and the whole PyPy team

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devpi-server-0.8.4: using pip's link parser now
by holger krekel 07 May '13

07 May '13

hi all, devpi-server, the self-updatding pypi.python.org caching proxy, just saw a new 0.8.4 release. Instead of BeautifulSoup it now uses pip's link parsing. This should serve as a shortcut to avoid real life crawling issues. IOW, whatever pip can install, should also be installable through the devpi-server cache. More info, getting started, deployment info on devpi-server: http://pypi.python.org/pypi/devpi-server thanks to Markus Zapke-Gruendemann for cleaning up some internals. cheers, holger

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ANN: eGenix mxODBC Zope/Plone Database Adapter 2.1.2
by eGenix Team: M.-A. Lemburg 07 May '13

07 May '13

________________________________________________________________________ ANNOUNCEMENT mxODBC Zope/Plone Database Adapter Version 2.1.2 for Zope and the Plone CMS Available for Plone 4.0, 4.1 and 4.2, Zope 2.12 and 2.13, on Windows, Linux, Mac OS X, FreeBSD and other platforms This announcement is also available on our web-site for online reading: http://www.egenix.com/company/news/eGenix-mxODBC-Zope-DA-2.1.2-GA.html ________________________________________________________________________ INTRODUCTION The eGenix mxODBC Zope DA allows you to easily connect your Zope or Plone CMS installation to just about any database backend on the market today, giving you the reliability of the commercially supported eGenix product mxODBC and the flexibility of the ODBC standard as middle-tier architecture. The mxODBC Zope Database Adapter is highly portable, just like Zope itself and provides a high performance interface to all your ODBC data sources, using a single well-supported interface on Windows, Linux, Mac OS X, FreeBSD and other platforms. This makes it ideal for deployment in ZEO Clusters and Zope hosting environments where stability and high performance are a top priority, establishing an excellent basis and scalable solution for your Plone CMS. Product page: http://www.egenix.com/products/zope/mxODBCZopeDA/ ________________________________________________________________________ NEWS We are pleased to announce the new version 2.1.2 of our mxODBC Zope/Plone Database Adapter product. Compatibility Enhancements -------------------------- * Added a work-around for a regression in Python 2.7.4 that results in a segfault when exiting Zope/Plone after loading the mxODBC Zope DA. The regression will be fixed in Python 2.7.5, but we don't want to expose our users to segfaults, so added a work-around. See http://bugs.python.org/issue17703 for the bug ticket. * Upgraded the underlying mxODBC library to version 3.2.3. Please see the mxODBC 3.2.3 release announcement for additional details: http://www.egenix.com/company/news/eGenix-mxODBC-3.2.3-GA.html Driver Compatibility -------------------- * Please also see the mxODBC Zope DA 2.1.1 announcement for an important new feature which allows to dramatically increase the fetch performance when working with MS SQL Server and IBM DB2 databases. http://www.egenix.com/company/news/eGenix-mxODBC-Zope-DA-2.1.1-GA.html For the full set of changes please check the change log: http://www.egenix.com/products/zope/mxODBCZopeDA/changelog.html ________________________________________________________________________ FEATURES Version 2.1.0 of our mxODBC Zope/Plone Database Adapter product was released on 2012-09-18. Please see the announcement for highlights of the 2.1 release: http://www.egenix.com/company/news/eGenix-mxODBC-Zope-DA-2.1.0-GA.html For the full set of features mxODBC Zope DA has to offer, please see: http://www.egenix.com/products/zope/mxODBCZopeDA/#Features ________________________________________________________________________ UPGRADING Users are encouraged to upgrade to this latest mxODBC Zope/Plone DA 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. As always, patch level upgrades (e.g. from 2.1.0 to 2.1.2) are free of charge. The licenses you have purchased for 2.1 will continue to work with this new release. For major and minor upgrade purchases, we will give out 20% discount coupons going from mxODBC Zope DA 1.x to 2.1 and 50% coupons for upgrades from mxODBC 2.x to 2.1. After upgrade, use of the original license from which you upgraded is no longer permitted. 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 or writing to sales(a)egenix.com, stating your name (or the name of the company) and the number of evaluation 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. ________________________________________________________________________ MORE INFORMATION For more information on the mxODBC Zope Database Adapter, licensing and download instructions, please visit our web-site: http://www.egenix.com/products/zope/mxODBCZopeDA/ You can buy mxODBC Zope DA licenses online from the eGenix.com shop at: http://shop.egenix.com/ 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 07 2013) >>> 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/ ________________________________________________________________________ 2013-05-06: Released mxODBC 3.2.3 ... http://egenix.com/go45 2013-04-30: Released eGenix PyRun 1.2.0 ... http://egenix.com/go44 ::::: 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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New release 0.19 of the Cython compiler
by Stefan Behnel 06 May '13

06 May '13

I'm happy to announce that Cython 0.19 has been released. This is a feature release of the Cython compiler that adds some major usability improvements especially for code that needs to run in both Py2 and Py3, as well as better Python compatibility and optimisations. http://cython.org/ You can get it from here: http://cython.org/release/Cython-0.19.tar.gz http://cython.org/release/Cython-0.19.zip Release notes: https://github.com/cython/cython/blob/29bf3493fdc80cb3261a9dfb9f73e3ccd46fe… Documentation: http://docs.cython.org/ Major new features in this release: =========================== * New directives ``c_string_type`` and ``c_string_encoding`` to automatically convert between C strings and the different Python string types. * Keyword arguments are supported for cdef functions, including external C/C++ library functions. * New freelist decorator for extension types. * Fast extension type instantiation using the ``Type.__new__(Type)`` idiom has gained support for passing arguments. * Slicing was optimised for several builtin types and otherwise conforms better with Python semantics for user defined types. * The mapping of dict view/item methods in Python 3 was improved. What is Cython? =============== Cython is an optimising static compiler for both the Python programming language and the extended Cython programming language (based on Pyrex). It makes writing C extensions for Python as easy as Python itself. The Cython language is a superset of the Python language that additionally supports calling C functions and declaring C types on variables and class attributes. This allows the compiler to generate very efficient C code from Cython code. The C code is generated once and then compiles with all major C/C++ compilers in CPython 2.4 and later, including Python 3.x. All of this makes Cython the ideal language for wrapping external C libraries, embedding CPython into existing applications, and for fast C modules that speed up the execution of Python code. See the project home page for further information: http://cython.org/ Have fun, Stefan

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TkinterTreectrl-2.0.1 released
by klappnase 06 May '13

06 May '13

Today an updated version of the TkinterTreectrl package was released. The TkinterTreectrl package wraps the treectrl tk extension (http://tktreectrl.sourceforge.net) for use with Python/Tkinter. The treectrl widget allows to create fancy things like sortable multi column listboxes and hierarchical tree views. The TkinterTreectrl package also contains a ready to use multi-column listbox widget and scrolled Treectrl and multi-column listboxes plus a generic scrolled widget class that makes it easy to add one or two static or automatic scrollbars to any Listbox-alike Tkinter widget. This release fixes a bug in the MultiListbox class that prevented lists from being accepted as argument for the columns option. For more details please look at the project page: http://tkintertreectrl.sourceforge.net/ The download is available at: https://sourceforge.net/projects/tkintertreectrl/files/ Regards Michael

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ANN: eGenix mxODBC 3.2.3 - Python ODBC Database Interface
by eGenix Team: M.-A. Lemburg 06 May '13

06 May '13

________________________________________________________________________ ANNOUNCING eGenix.com mxODBC Python ODBC Database Interface Version 3.2.3 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-3.2.3-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 3.2.3 release of our mxODBC is the latest patch level release of our popular Python ODBC Interface. In this release, we've included the following the following enhancements and fixes: Compatibility Enhancements -------------------------- * Added a work-around for a regression in Python 2.7.4 that results in a segfault when exiting Python after loading mxODBC. The regression will be fixed in Python 2.7.5, but we don't want to expose our users to segfaults, so added a work-around. See http://bugs.python.org/issue17703 for the bug ticket. * Please also see the mxODBC 3.2.2 announcement for an important new feature which allows to dramatically increase the fetch performance when working with MS SQL Server and IBM DB2 databases: http://www.egenix.com/company/news/eGenix-mxODBC-3.2.2-GA.html Fixes ----- * Fixed a bugglet which caused connection.__members__ to no longer list connection attributes. For the full set of changes please check the mxODBC change log: http://www.egenix.com/products/python/mxODBC/changelog.html ________________________________________________________________________ FEATURES mxODBC 3.2 was released on 2012-08-28. Please see the full announcement for highlights of the 3.2 release: http://www.egenix.com/company/news/eGenix-mxODBC-3.2.0-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 three editions: * The low-cost Standard Edition which provides data connectivity to a single database type, e.g. just MS SQL Server. * The Professional Edition, which gives full access to all mxODBC features. * The Product Development Edition, which allows including mxODBC in applications you develop. Compared to mxODBC 3.0, we have simplified our license terms to clarify the situation on multi-core and virtual machines. In most cases, you no longer need to purchase more than one license per processor or virtual machine, scaling down the overall license costs significantly compared to earlier mxODBC releases. For a complete overview of the new 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 3.2 license can continue to use their licenses with this patch level release. Customers who have purchased mxODBC 2.x, 3.0 or 3.1 licenses, can benefit from upgrade discounts. We will give out 20% discount coupons going from mxODBC 2.x to 3.2 and 50% coupons for upgrades from mxODBC 3.x to 3.2. After upgrade, use of the original license from which you upgraded is no longer permitted. Please contact the eGenix.com Sales Team at sales(a)egenix.com with your existing license serials for details for an upgrade discount coupon. If you want to try the new release before purchace, you can request 30-day evaluation licenses by visiting our web-site http://www.egenix.com/products/python/mxODBC/#Evaluation or by 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. Enjoy, -- Marc-Andre Lemburg eGenix.com Professional Python Services directly from the Source (#1, May 06 2013) >>> 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/ ________________________________________________________________________ 2013-04-30: Released eGenix PyRun 1.2.0 ... http://egenix.com/go44 ::::: 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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devpi-server-0.8.2: bug fixes for the pypi.python.org caching server
by holger krekel 06 May '13

06 May '13

just did a release of devpi-server-0.8.2, the fast pypi.python.org caching server. 0.8.2 fixes a bug which prevented the installation of some packages. If you encounter any such problems, please report it at: https://bitbucket.org/hpk42/devpi-server/issues or on #pylib on freenode. A new release will quickly fix it - we had four releases in six days now :) More information on installing and deploying devpi-server here: http://pypi.python.org/pypi/devpi-server best, holger

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devpi-server 0.8.1: better devpi-ctl behaviour / fixed --gendeploy quirk
by holger krekel 04 May '13

04 May '13

Hi again, just 12 hours after 0.8, i released devpi-server-0.8.1, a slightly improved version of the fast pypi caching proxy server. In particular after "devpi-ctl" now works more according to docs. In particular after a: devpi-ctl shutdown You won't accidentally start the servers again with: devpi-ctl help|status|... which is what 0.8 did (doh!). Also, --gendeploy now takes more care to create a supervisord.conf which starts the devpi-server binary installed into the venv. Keep up the issue reporting! :) See http://pypi.python.org/pypi/devpi-server for more ... cheers, holger

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