Mailman 3 September 2012 - Python-announce-list

PlyPlus 0.1.1 - a friendly LR-parser with advanced analysis features
by Erez Sh Sept. 30, 2012

Sept. 30, 2012

Hello! Plyplus is finally stable enough to announce. Plyplus is a general-purpose parser built on top of PLY, written in python, with a slightly different approach to parsing. Most parsers work by calling a function for each rule they identify, which processes the data and returns to the parser. Plyplus parses the entire file into a parse-tree, letting you search and process it using visitors and pattern-matching. Plyplus makes two uncommon separations: of code from grammar, and of processing from parsing. The result of this approach is (hopefully) a cleaner design, more powerful grammar processing, and a parser which is easier to write and to understand. Plyplus also provides advanced analysis tools for querying and transforming the AST. --------------------------------- Project page is: https://github.com/erezsh/plyplus In PyPI: http://pypi.python.org/pypi/PlyPlus Or you can simply: pip install plyplus

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[RELEASED] Python 3.3.0
by Georg Brandl Sept. 29, 2012

Sept. 29, 2012

On behalf of the Python development team, I'm delighted to announce the Python 3.3.0 final release. Python 3.3 includes a range of improvements of the 3.x series, as well as easier porting between 2.x and 3.x. Major new features and changes in the 3.3 release series are: * PEP 380, syntax for delegating to a subgenerator ("yield from") * PEP 393, flexible string representation (doing away with the distinction between "wide" and "narrow" Unicode builds) * A C implementation of the "decimal" module, with up to 120x speedup for decimal-heavy applications * The import system (__import__) now based on importlib by default * The new "lzma" module with LZMA/XZ support * PEP 397, a Python launcher for Windows * PEP 405, virtual environment support in core * PEP 420, namespace package support * PEP 3151, reworking the OS and IO exception hierarchy * PEP 3155, qualified name for classes and functions * PEP 409, suppressing exception context * PEP 414, explicit Unicode literals to help with porting * PEP 418, extended platform-independent clocks in the "time" module * PEP 412, a new key-sharing dictionary implementation that significantly saves memory for object-oriented code * PEP 362, the function-signature object * The new "faulthandler" module that helps diagnosing crashes * The new "unittest.mock" module * The new "ipaddress" module * The "sys.implementation" attribute * A policy framework for the email package, with a provisional (see PEP 411) policy that adds much improved unicode support for email header parsing * A "collections.ChainMap" class for linking mappings to a single unit * Wrappers for many more POSIX functions in the "os" and "signal" modules, as well as other useful functions such as "sendfile()" * Hash randomization, introduced in earlier bugfix releases, is now switched on by default In total, almost 500 API items are new or improved in Python 3.3. For a more extensive list of changes in 3.3.0, see http://docs.python.org/3.3/whatsnew/3.3.html To download Python 3.3.0 visit: http://www.python.org/download/releases/3.3.0/ This is a production release, please report any bugs to http://bugs.python.org/ Enjoy! -- Georg Brandl, Release Manager georg at python.org (on behalf of the entire python-dev team and 3.3's contributors)

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PyData NYC 2012 Speakers and Talks announced
by Peter Wang Sept. 28, 2012

Sept. 28, 2012

The PyData NYC team and Continuum Analytics are proud to announce the full lineup of talks and speakers for the PyData NYC 2012 event! We're thrilled with the exciting lineup of workshops, hands-on tutorials, and talks about real-world uses of Python for data analysis. http://nyc2012.pydata.org/schedule The list of presenters and talk abstracts are also available, and are linked from the schedule page. For those who will be in town on Thursday evening of October 25th, there will be a special PyData edition of Drinks & Data at Dewey's Flatiron. It'll be a great chance to socialize and meet with PyData presenters and other attendees. Register here: http://drinks-and-data-pydata-conf-ny.eventbrite.com/ We're also proud to be part of the NYC DataWeek: http://oreilly.com/dataweek/?cmp=tw-strata-ev-dr. The week of October 22nd is going to be a great time to be in New York! Lastly, we are still looking for sponsors! If you want to get your company recognition in front of a few hundred Python data hackers and hardcore developers, PyData will be a premier venue to showcase your products or recruit exceptional talent. Please visit http://nyc2012.pydata.org/sponsors/becoming/ to inquire about sponsorship. In addition to the conference sponsorship, charter sponsorships for dinner Friday night, as well as the Sunday Hack-a-thon event are all open. Please help us promote the conference! Tell your friends, email your meetup groups, and follow @PyDataConf on Twitter. Early registration ends in just a few weeks, so register today! http://pydata.eventbrite.com/ See you there! -Peter Wang Organizer, PyData NYC 2012

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ANN: v0.2 of PipeController released; now supports running pipes incrementally
by vasudevram Sept. 28, 2012

Sept. 28, 2012

I've released v0.2 of PipeController, my experimental tool to simulate pipes in Python. It can be downloaded here: http://dancingbison.com/pipe_controller-v0.2.zip Changes in v0.2: - module name changed to avoid clashes with pipes module in the standard Python library; the module is now called pipe_controller.py instead of pipes.py; - you can now pass input and output filename arguments on the command in your program that calls PipeController, instead of having to use I/O redirection; - you can now import class PipeController from the module, with: from pipe_controller import PipeController - you can now run a PipeController pipe incrementally, i.e., run the pipe in a loop, adding a pipe component (a Python function) in each iteration, and it can save the intermediate outputs resulting from each iteration, to separate output files; the program test_pipe_controller_03.py in the download package shows how to do this. This feature can be useful to debug your pipe's logic, and also to save the intermediate computation results in case they are of use in their own right. Blog post about using PipeController v0.2 to run a pipe incrementally: http://jugad2.blogspot.in/2012/09/using-pipecontroller-to-run-pipe.html - Vasudev Ram www.dancingbison.com jugad2.blogspot.com twitter.com/vasudevram

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ANN: eGenix PyRun - One file Python Runtime 1.1.0
by eGenix Team: M.-A. Lemburg Sept. 27, 2012

Sept. 27, 2012

________________________________________________________________________ ANNOUNCING eGenix PyRun - One file Python Runtime Version 1.1.0 An easy-to-use single file relocatable Python run-time - available for Windows, Mac OS X and Unix platforms This announcement is also available on our web-site for online reading: http://www.egenix.com/company/news/eGenix-PyRun-1.1.0.html ________________________________________________________________________ INTRODUCTION Our new eGenix PyRun combines a Python interpreter with an almost complete Python standard library into a single easy-to-use executable, that does not require a system wide installation and is fully relocatable. eGenix PyRun's executable only needs 11MB, but still supports most Python application and scripts - and it can be further compressed to 3-4MB using gzexe or upx. Compared to a regular Python installation of typically 100MB on disk, this makes eGenix PyRun ideal for applications and scripts that need to be distributed to many target machines, client installations or customers. It makes "installing" Python on a Unix based system as simple as copying a single file. We have been using the product internally in our mxODBC Connect Server since 2008 with great success and have now extracted it into a stand-alone open-source product. We provide both the source archive to build your own eGenix PyRun, as well as pre-compiled binaries for Linux, FreeBSD and Mac OS X, as 32- and 64-bit versions. Please see the product page for more details: http://www.egenix.com/products/python/PyRun/ ________________________________________________________________________ NEWS This is a new minor release of eGenix PyRun, which contains a few important fixes and enhancement based on the user feedback we received. Simplified Installation ----------------------- The new release includes a new script called install-pyrun, which greatly simplifies installation of eGenix PyRun, which works much like the virtualenv shell script used for creating new virtual environments (except that there's nothing virtual about PyRun environments :-)). Using the script, the eGenix PyRun installation is as simple as running: install-pyrun targetdir New Features ------------ * Added new simple end-to-end test for the PyRun build process: make test-distribution. * Added support to import top-level frozen modules via -m. For packages this still fails due to bugs in Python itself. * Added a new easy to use pyrun installation shell script: install-pyrun. * install-pyrun will now default to eGenix PyRun 1.1.0. * install-pyrun now has a new --pyrun-distribution option to manually direct the script to a distribution file. This comes in handy when testing your own eGenix PyRun distributions. Enhanced Integration -------------------- * Optional readline module included in our binary builds now links against readline version 6 instead of 5. This should resolve readline issues on modern Linux installations. * Resolved an issue related to sys.argv[0] that prevented installation of e.g. numpy and lxml with pyrun. We've tested PyRun installation with numpy, lxml, Cython, Django, Trac and several other popular packages. They should all install fine now. * PyRun now reads scripts from stdin when used as filter or when providing '-' as script name. Other Changes ------------- * Documented that setuptools/distribute and pip are not designed to be relocatable - unlike PyRun itself. * Most references to the pyrun build directory are now replaced with "<pyrun>". This reduces the pyrun binary size and also avoids confusion when looking at tracebacks. * Backported a patch to have Python 2.5 compile on systems that have a more recent version of svnversion installed. * Overall, we've managed to push the size down from 12MB in 1.0.0 to 11MB in this new release. Thanks go to Pavlos Christoforou for providing lots of good feedback, which triggered many of the above enhancements. Presentation at PyCon UK 2012 ----------------------------- Marc-André, CEO of eGenix, will be giving a presentation about eGenix PyRun at PyCon UK 2012 in Coventry, UK on Saturday, Sept 29th in the Room Python/CC1.8. He will also be available during the conference to answer questions. ________________________________________________________________________ DOWNLOADS The download archives and instructions for installing the product can be found at: http://www.egenix.com/products/python/PyRun/ _______________________________________________________________________ SUPPORT Commercial support for these packages is available from eGenix.com. Please see http://www.egenix.com/services/support/ for details about our support offerings. ________________________________________________________________________ MORE INFORMATION For more information about eGenix PyRun, licensing and download instructions, please visit our web-site or write to sales(a)egenix.com. Enjoy, -- Marc-Andre Lemburg eGenix.com Professional Python Services directly from the Source (#1, Sep 27 2012) >>> Python/Zope Consulting and Support ... http://www.egenix.com/ >>> mxODBC.Zope.Database.Adapter ... http://zope.egenix.com/ >>> mxODBC, mxDateTime, mxTextTools ... http://python.egenix.com/ ________________________________________________________________________ 2012-10-29: PyCon DE 2012, Leipzig, Germany ... 32 days to go 2012-10-23: Python Meeting Duesseldorf ... 26 days to go 2012-09-26: Released mxODBC.Connect 2.0.1 ... http://egenix.com/go34 2012-09-25: Released mxODBC 3.2.1 ... http://egenix.com/go33 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: SciPy 0.11.0 release
by Ralf Gommers Sept. 26, 2012

Sept. 26, 2012

Hi, I am pleased to announce the availability of SciPy 0.11.0. For this release many new features have been added, and over 120 tickets and pull requests have been closed. Also noteworthy is that the number of contributors for this release has risen to over 50. We hope to see this number continuing to increase! The highlights of this release are: - A new module, sparse.csgraph, has been added which provides a number of common sparse graph algorithms. - New unified interfaces to the existing optimization and root finding functions have been added. Sources and binaries can be found at http://sourceforge.net/projects/scipy/files/scipy/0.11.0/, release notes are copied below. Thanks to everyone who contributed to this release, Ralf ========================== SciPy 0.11.0 Release Notes ========================== .. contents:: SciPy 0.11.0 is the culmination of 8 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. Highlights of this release are: - A new module has been added which provides a number of common sparse graph algorithms. - New unified interfaces to the existing optimization and root finding functions have been added. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Our development attention will now shift to bug-fix releases on the 0.11.x branch, and on adding new features on the master branch. This release requires Python 2.4-2.7 or 3.1-3.2 and NumPy 1.5.1 or greater. New features ============ Sparse Graph Submodule ---------------------- The new submodule :mod:`scipy.sparse.csgraph` implements a number of efficient graph algorithms for graphs stored as sparse adjacency matrices. Available routines are: - :func:`connected_components` - determine connected components of a graph - :func:`laplacian` - compute the laplacian of a graph - :func:`shortest_path` - compute the shortest path between points on a positive graph - :func:`dijkstra` - use Dijkstra's algorithm for shortest path - :func:`floyd_warshall` - use the Floyd-Warshall algorithm for shortest path - :func:`breadth_first_order` - compute a breadth-first order of nodes - :func:`depth_first_order` - compute a depth-first order of nodes - :func:`breadth_first_tree` - construct the breadth-first tree from a given node - :func:`depth_first_tree` - construct a depth-first tree from a given node - :func:`minimum_spanning_tree` - construct the minimum spanning tree of a graph ``scipy.optimize`` improvements ------------------------------- The optimize module has received a lot of attention this release. In addition to added tests, documentation improvements, bug fixes and code clean-up, the following improvements were made: - A unified interface to minimizers of univariate and multivariate functions has been added. - A unified interface to root finding algorithms for multivariate functions has been added. - The L-BFGS-B algorithm has been updated to version 3.0. Unified interfaces to minimizers ```````````````````````````````` Two new functions ``scipy.optimize.minimize`` and ``scipy.optimize.minimize_scalar`` were added to provide a common interface to minimizers of multivariate and univariate functions respectively. For multivariate functions, ``scipy.optimize.minimize`` provides an interface to methods for unconstrained optimization (`fmin`, `fmin_powell`, `fmin_cg`, `fmin_ncg`, `fmin_bfgs` and `anneal`) or constrained optimization (`fmin_l_bfgs_b`, `fmin_tnc`, `fmin_cobyla` and `fmin_slsqp`). For univariate functions, ``scipy.optimize.minimize_scalar`` provides an interface to methods for unconstrained and bounded optimization (`brent`, `golden`, `fminbound`). This allows for easier comparing and switching between solvers. Unified interface to root finding algorithms ```````````````````````````````````````````` The new function ``scipy.optimize.root`` provides a common interface to root finding algorithms for multivariate functions, embeding `fsolve`, `leastsq` and `nonlin` solvers. ``scipy.linalg`` improvements ----------------------------- New matrix equation solvers ``````````````````````````` Solvers for the Sylvester equation (``scipy.linalg.solve_sylvester``, discrete and continuous Lyapunov equations (``scipy.linalg.solve_lyapunov``, ``scipy.linalg.solve_discrete_lyapunov``) and discrete and continuous algebraic Riccati equations (``scipy.linalg.solve_continuous_are``, ``scipy.linalg.solve_discrete_are``) have been added to ``scipy.linalg``. These solvers are often used in the field of linear control theory. QZ and QR Decomposition ```````````````````````` It is now possible to calculate the QZ, or Generalized Schur, decomposition using ``scipy.linalg.qz``. This function wraps the LAPACK routines sgges, dgges, cgges, and zgges. The function ``scipy.linalg.qr_multiply``, which allows efficient computation of the matrix product of Q (from a QR decompostion) and a vector, has been added. Pascal matrices ``````````````` A function for creating Pascal matrices, ``scipy.linalg.pascal``, was added. Sparse matrix construction and operations ----------------------------------------- Two new functions, ``scipy.sparse.diags`` and ``scipy.sparse.block_diag``, were added to easily construct diagonal and block-diagonal sparse matrices respectively. ``scipy.sparse.csc_matrix`` and ``csr_matrix`` now support the operations ``sin``, ``tan``, ``arcsin``, ``arctan``, ``sinh``, ``tanh``, ``arcsinh``, ``arctanh``, ``rint``, ``sign``, ``expm1``, ``log1p``, ``deg2rad``, ``rad2deg``, ``floor``, ``ceil`` and ``trunc``. Previously, these operations had to be performed by operating on the matrices' ``data`` attribute. LSMR iterative solver --------------------- LSMR, an iterative method for solving (sparse) linear and linear least-squares systems, was added as ``scipy.sparse.linalg.lsmr``. Discrete Sine Transform ----------------------- Bindings for the discrete sine transform functions have been added to ``scipy.fftpack``. ``scipy.interpolate`` improvements ---------------------------------- For interpolation in spherical coordinates, the three classes ``scipy.interpolate.SmoothSphereBivariateSpline``, ``scipy.interpolate.LSQSphereBivariateSpline``, and ``scipy.interpolate.RectSphereBivariateSpline`` have been added. Binned statistics (``scipy.stats``) ----------------------------------- The stats module has gained functions to do binned statistics, which are a generalization of histograms, in 1-D, 2-D and multiple dimensions: ``scipy.stats.binned_statistic``, ``scipy.stats.binned_statistic_2d`` and ``scipy.stats.binned_statistic_dd``. Deprecated features =================== ``scipy.sparse.cs_graph_components`` has been made a part of the sparse graph submodule, and renamed to ``scipy.sparse.csgraph.connected_components``. Calling the former routine will result in a deprecation warning. ``scipy.misc.radon`` has been deprecated. A more full-featured radon transform can be found in scikits-image. ``scipy.io.save_as_module`` has been deprecated. A better way to save multiple Numpy arrays is the ``numpy.savez`` function. The `xa` and `xb` parameters for all distributions in ``scipy.stats.distributions`` already weren't used; they have now been deprecated. Backwards incompatible changes ============================== Removal of ``scipy.maxentropy`` ------------------------------- The ``scipy.maxentropy`` module, which was deprecated in the 0.10.0 release, has been removed. Logistic regression in scikits.learn is a good and modern alternative for this functionality. Minor change in behavior of ``splev`` ------------------------------------- The spline evaluation function now behaves similarly to ``interp1d`` for size-1 arrays. Previous behavior:: >>> from scipy.interpolate import splev, splrep, interp1d >>> x = [1,2,3,4,5] >>> y = [4,5,6,7,8] >>> tck = splrep(x, y) >>> splev([1], tck) 4. >>> splev(1, tck) 4. Corrected behavior:: >>> splev([1], tck) array([ 4.]) >>> splev(1, tck) array(4.) This affects also the ``UnivariateSpline`` classes. Behavior of ``scipy.integrate.complex_ode`` ------------------------------------------- The behavior of the ``y`` attribute of ``complex_ode`` is changed. Previously, it expressed the complex-valued solution in the form:: z = ode.y[::2] + 1j * ode.y[1::2] Now, it is directly the complex-valued solution:: z = ode.y Minor change in behavior of T-tests ----------------------------------- The T-tests ``scipy.stats.ttest_ind``, ``scipy.stats.ttest_rel`` and ``scipy.stats.ttest_1samp`` have been changed so that 0 / 0 now returns NaN instead of 1. Other changes ============= The SuperLU sources in ``scipy.sparse.linalg`` have been updated to version 4.3 from upstream. The function ``scipy.signal.bode``, which calculates magnitude and phase data for a continuous-time system, has been added. The two-sample T-test ``scipy.stats.ttest_ind`` gained an option to compare samples with unequal variances, i.e. Welch's T-test. ``scipy.misc.logsumexp`` now takes an optional ``axis`` keyword argument. Authors ======= This release contains work by the following people (contributed at least one patch to this release, names in alphabetical order): * Jeff Armstrong * Chad Baker * Brandon Beacher + * behrisch + * borishim + * Matthew Brett * Lars Buitinck * Luis Pedro Coelho + * Johann Cohen-Tanugi * David Cournapeau * dougal + * Ali Ebrahim + * endolith + * Bjørn Forsman + * Robert Gantner + * Sebastian Gassner + * Christoph Gohlke * Ralf Gommers * Yaroslav Halchenko * Charles Harris * Jonathan Helmus + * Andreas Hilboll + * Marc Honnorat + * Jonathan Hunt + * Maxim Ivanov + * Thouis (Ray) Jones * Christopher Kuster + * Josh Lawrence + * Denis Laxalde + * Travis Oliphant * Joonas Paalasmaa + * Fabian Pedregosa * Josef Perktold * Gavin Price + * Jim Radford + * Andrew Schein + * Skipper Seabold * Jacob Silterra + * Scott Sinclair * Alexis Tabary + * Martin Teichmann * Matt Terry + * Nicky van Foreest + * Jacob Vanderplas * Patrick Varilly + * Pauli Virtanen * Nils Wagner + * Darryl Wally + * Stefan van der Walt * Liming Wang + * David Warde-Farley + * Warren Weckesser * Sebastian Werk + * Mike Wimmer + * Tony S Yu + A total of 55 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

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ANN: eGenix mxODBC Connect - Python Database Interface 2.0.1
by eGenix Team: M.-A. Lemburg Sept. 26, 2012

Sept. 26, 2012

________________________________________________________________________ ANNOUNCING eGenix.com mxODBC Connect Python Database Interface Version 2.0.1 mxODBC Connect is our commercially supported client-server product for connecting Python applications to relational databases in a truly cross-platform way. This announcement is also available on our web-site for online reading: http://www.egenix.com/company/news/eGenix-mxODBC-Connect-2.0.1-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 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 The 2.0.1 release of mxODBC Connect includes the following enhancements and fixes: API Enhancements ---------------- * Added support for returning SQL Server TIME columns as time value instead of as string. * Added a work-around to prevent truncation warnings with the SQL Server ODBC driver when using .executemany(..., direct=1). Thanks for Michael Bayer. Server Enhancements ------------------- * Upgraded the mxODBC used in the server to version mxODBC 3.2.1. Client Enhancements ------------------- * Added egenix-mx-base dependency to mxODBC Connect egg files. Misc ---- * Added hint on how to work with REF CURSORS in Oracle stored procedures. Thanks to Etienne Desgagné. mxODBC Connect 2.0.0 was released on 2012-08-20. These are the highlights of the new release: mxODBC Connect 2.0 Enhanced API ------------------------------- * mxODBC Connect Server now uses mxODBC 3.2 internally and makes its API available in the mxODBC Connect Client. This is a major step forward from the mxODBC 3.0 version used in mxODBC Connect Server 1.0. * mxODBC Connect Client comes with all the mxODBC enhancements, including: - connection and cursor objects can be used as context managers - adjustable parameter styles (qmark or named) - connection .autocommit attribute to easily switch on autocommit - adjustable timestamp resolution - new possibilities to set connection and cursor options to adjust the ODBC objects to your application needs, e.g. set a connection read-only or set a query timeout - adjustable decimal, datetime and string formats - adjustable warning format to be able to handle server warnings without client interaction - greatly improved result set scrolling support - Unicode support for all catalog methods - Access to additional result set meta data via cursor.getcolattribute() Updated Compatibility --------------------- * The server now features all the ODBC driver compatibility enhancements provided by mxODBC 3.2, including improved and updated support for MS SQL Server Native Client, Oracle Instant Client, Sybase ASE, IBM DB2, Teradata and Netezza. * Native Windows x64 builds with signed executables and a tray app rewritten in C are available for Windows 2008R2, Vista and 7 x64, so you can benefit from better performance, fewer UAC dialogs and smaller memory footprint. Asynchronous Execution ---------------------- * mxODBC Connect Client now integrates directly with gevent, allowing client applications to run asynchronous tasks while performing remote database queries. Better Integration ------------------ * mxODBC Connect now uses the official IANA registered port 6632 for both plain text and SSL-encrypted communication. * mxODBC Connect Client now allows selecting the used SSL module from two available options: Python standard lib ssl module and pyOpenSSL. For the full set of changes, 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. Customers who have purchased mxODBC Connect 2.0 licenses can continue to use their licenses with this patch level release. Customers who have purchased mxODBC Connect 1.x licenses can request 20% discount coupons for upgrade purchases. 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 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 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, Sep 26 2012) >>> Python/Zope Consulting and Support ... http://www.egenix.com/ >>> mxODBC.Zope.Database.Adapter ... http://zope.egenix.com/ >>> mxODBC, mxDateTime, mxTextTools ... http://python.egenix.com/ ________________________________________________________________________ 2012-10-29: PyCon DE 2012, Leipzig, Germany ... 33 days to go 2012-10-23: Python Meeting Duesseldorf ... 27 days to go 2012-09-26: Released mxODBC.Connect 2.0.1 ... http://egenix.com/go34 2012-09-25: Released mxODBC 3.2.1 ... http://egenix.com/go33 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: eGenix mxODBC 3.2.1 - Python ODBC Database Interface
by eGenix Team: M.-A. Lemburg Sept. 25, 2012

Sept. 25, 2012

________________________________________________________________________ ANNOUNCING eGenix.com mxODBC Python ODBC Database Interface Version 3.2.1 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-3.2.1-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 3.2.1 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: Feature Enhancements -------------------- * The next SQLAlchemy release will be fully compatible with mxODBC 3.2.1. Many thanks go to Michael Bayer for working with us to make this happen. Driver Compatibility Enhancements --------------------------------- * Added support for returning SQL Server TIME columns as time value instead of as string. * Added a work-around to prevent truncation warnings with the SQL Server ODBC driver when using .executemany(..., direct=1). mxODBC 3.2 was released on 2012-08-28. These are the highlights of the new release: mxODBC 3.2 Feature Highlights ----------------------------- * Switched to unixODBC 2.3.1+ API: mxODBC is now compiled against unixODBC 2.3.1, which finally removes the problems with the ABI change between 2.2 and 2.3 by switching to a new library version (libodbc.so.2). * mxODBC connection objects can now be used as context managers to implicitly commit/rollback transactions. * mxODBC cursor objects can now be used as context managers to implicitly close the cursor when leaving the block (regardless of whether an exception was raised or not) * mxODBC added support for adjustable .paramstyles. Both 'qmark' (default) and 'named' styles are supported and can be set on connections and cursors. The 'named' style allows easier porting of e.g. Oracle native interface code to mxODBC. * mxODBC now supports a writable connection.autocommit attribute to easily turn on/off the connection's auto commit mode. * mxODBC added support for adjustable TIMESTAMP precision via the new connection/cursor.timestampresolution attribute. * mxODBC will round to nearest nanosecond fraction instead of truncating the value. This will result in fewer conversion errors due to floating point second values. * mxODBC's connect APIs Connect() and DriverConnect() support setting connection options prior to connecting to the database via a new connection_options parameter. This allows enabling e.g. the MARS feature in SQL Server Native Client. * The connection.cursor() constructor now has a new cursor_options parameters which allows configuring the cursor with a set of cursor options. * The .scroll() method supports far more ODBC drivers than before. * Updated the SQL lookup object to include more ODBC SQL parameter codes, including special ones for SQL Server and IBM DB2. * mx.ODBC.Manager will now prefer unixODBC over iODBC. Previous mxODBC releases used the order iODBC, unixODBC, DataDirect when looking for a suitable ODBC manager on Unix platforms. unixODBC is more widely supported nowadays and provides better Unicode support than iODBC. For the full set of features mxODBC has to offer, please see: http://www.egenix.com/products/python/mxODBC/#Features mxODBC 3.2 Driver Compatibility Enhancements -------------------------------------------- * Added work-around for Oracle Instance Client to prevent use of direct execution. cursor.executedirect() will still work, but won't actually use direct execution with the Oracle driver. * Added work-around for Oracle Instant Client to prevent segfaults in the driver when querying the cursor.rowcount or cursor.rownumber. * Added check to make sure that Python type binding mode is not used with Oracle Instance Client as this can cause segfaults with the driver and generally doesn't work. * Added a work-around to have the IBM DB2 driver return correct .rowcount values. * Improved Sybase ASE driver compatibility: this only supports Python type binding, which is now enabled per default. * Added work-around for PostgreSQL driver, which doesn't support scrollable cursors. * Add support for MS SQL Server ODBC Driver 1.0 for Linux to mxODBC * Improved compatibility of the mxODBC native Unicode string format handling with Unix ODBC drivers when running UCS4 builds of Python. * mxODBC 3.2 now always uses direct execution with the FreeTDS ODBC driver. This results in better compatibility with SQL Server and faster execution across the board. * Add work-around to have FreeTDS work with 64-bit integers outside the 32-bit signed integer range. * FreeTDS' .rowcount attribute gave misleading values for SELECTs. This now always returns -1 (until they hopefully fix the driver to return usable data). For the full set of changes please check the mxODBC change log: http://www.egenix.com/products/python/mxODBC/changelog.html mxODBC 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, Sep 25 2012) >>> Python/Zope Consulting and Support ... http://www.egenix.com/ >>> mxODBC.Zope.Database.Adapter ... http://zope.egenix.com/ >>> mxODBC, mxDateTime, mxTextTools ... http://python.egenix.com/ ________________________________________________________________________ 2012-10-29: PyCon DE 2012, Leipzig, Germany ... 34 days to go 2012-10-23: Python Meeting Duesseldorf ... 28 days to go 2012-09-18: Released mxODBC Zope DA 2.1.0 ... http://egenix.com/go32 2012-08-28: Released mxODBC 3.2.0 ... http://egenix.com/go31 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: moin-1.9.5 released
by Reimar Bauer Sept. 24, 2012

Sept. 24, 2012

This release ist mostly about security and bug fixes and a few minor changes (We removed 4suite dependency for docbook formatter, using now minidom which is included in python). For details see: http://hg.moinmo.in/moin/1.9/raw-file/1.9.5/docs/CHANGES See http://moinmo.in/MoinMoinDownload for the release archive. BTW, for future moin 1.9 releases, we still need many more people helping with maintaining and updating translations on http://master19.moinmo.in/ . So, especially if you speak some non-english language, you can help! See http://moinmo.in/MoinDev/Translation for details. We spent most of our time on developing moin2, see http://moinmo.in/MoinMoin2.0 for details. One of the recent commits there was to make moin2 work on GAE based on work done by Guido van Rossum. If you like to hack / test new stuff, have a look! Also feel invited to help with it, so it gets ready for production sooner. If you are interested in helping, feel free to contact us on IRC chat, see: http://moinmo.in/MoinMoinChat

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ANN: WinPython v2.7.3.0
by Pierre Raybaut Sept. 24, 2012

Sept. 24, 2012

Hi all, I'm pleased to introduce my new contribution to the Python community: WinPython. WinPython v2.7.3.0 has been released and is available for 32-bit and 64-bit Windows platforms: http://code.google.com/p/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 environment: * Designed for scientists (thanks to the integrated libraries NumPy, SciPy, Matplotlib, guiqwt, etc.: * Regular *scientific users*: interactive data processing and visualization using Python with Spyder * *Advanced scientific users and software developers*: Python applications development with Spyder, version control with Mercurial and other development tools (like gettext) * *Portable*: preconfigured, it should run out of the box on any machine under Windows (without any installation requirements) and the folder containing WinPython can be moved to any location (local, network or removable drive) * *Flexible*: one can install (or should I write "use" as it's portable) as many WinPython versions as necessary (like isolated and self-consistent environments), even if those versions are running different versions of Python (2.7, 3.x in the near future) or different architectures (32bit or 64bit) on the same machine * *Customizable*: using the integrated package manager (wppm, as WinPython Package Manager), it's possible to install, uninstall or upgrade Python packages (see http://code.google.com/p/winpython/wiki/WPPM for more details on supported package formats). *WinPython is not an attempt to replace Python(x,y)*, this is just something different (see http://code.google.com/p/winpython/wiki/Roadmap): more flexible, easier to maintain, movable and less invasive for the OS, but certainly less user-friendly, with less packages/contents and without any integration to Windows explorer [*]. [*] Actually there is an optional integration into Windows explorer, providing the same features as the official Python installer regarding file associations and context menu entry (this option may be activated through the WinPython Control Panel). Enjoy! -Pierre

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