Mailman 3 August 2013 - Python-announce-list

[ANN] numexpr 2.2 released
by Francesc Alted 31 Aug '13

31 Aug '13

========================== Announcing Numexpr 2.2 ========================== Numexpr is a fast numerical expression evaluator for NumPy. With it, expressions that operate on arrays (like "3*a+4*b") are accelerated and use less memory than doing the same calculation in Python. It wears multi-threaded capabilities, as well as support for Intel's VML library (included in Intel MKL), which allows an extremely fast evaluation of transcendental functions (sin, cos, tan, exp, log...) while squeezing the last drop of performance out of your multi-core processors. Its only dependency is NumPy (MKL is optional), so it works well as an easy-to-deploy, easy-to-use, computational kernel for projects that don't want to adopt other solutions that require more heavy dependencies. What's new ========== This release is mainly meant to fix a problem with the license the numexpr/win32/pthread.{c,h} files emulating pthreads on Windows. After persmission from the original authors is granted, these files adopt the MIT license and can be redistributed without problems. See issue #109 for details (https://code.google.com/p/numexpr/issues/detail?id=110). Another important improvement is the algorithm to decide the initial number of threads to be used. This was necessary because by default, numexpr was using a number of threads equal to the detected number of cores, and this can be just too much for moder systems where this number can be too high (and counterporductive for performance in many cases). Now, the 'NUMEXPR_NUM_THREADS' environment variable is honored, and in case this is not present, a maximum number of *8* threads are setup initially. The new algorithm is fully described in the Users Guide now in the note of 'General routines' section: https://code.google.com/p/numexpr/wiki/UsersGuide#General_routines. Closes #110. In case you want to know more in detail what has changed in this version, see: http://code.google.com/p/numexpr/wiki/ReleaseNotes or have a look at RELEASE_NOTES.txt in the tarball. Where I can find Numexpr? ========================= The project is hosted at Google code in: http://code.google.com/p/numexpr/ You can get the packages from PyPI as well: http://pypi.python.org/pypi/numexpr Share your experience ===================== Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. Enjoy data! -- Francesc Alted

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A new version (0.3.5) of python-gnupg has been released.
by Vinay Sajip 30 Aug '13

30 Aug '13

A new version of the Python module which wraps GnuPG has been released. What Changed? ============= This is a minor enhancement and bug-fix release. See the project website ( http://code.google.com/p/python-gnupg/ ) for more information. Summary: Added improved shell quoting to guard against shell injection attacks. Added search_keys() and send_keys() methods to interact with keyservers. A symmetric cipher algorithm can now be specified when encrypting. UTF-8 encoding is used as a fall back when no other encoding can be determined. The key length now defaults to 2048 bits. A default Name-Comment field is no longer provided during key generation. What Does It Do? ================ The gnupg module allows Python programs to make use of the functionality provided by the Gnu Privacy Guard (abbreviated GPG or GnuPG). Using this module, Python programs can encrypt and decrypt data, digitally sign documents and verify digital signatures, manage (generate, list and delete) encryption keys, using proven Public Key Infrastructure (PKI) encryption technology based on OpenPGP. This module is expected to be used with Python versions >= 2.4, as it makes use of the subprocess module which appeared in that version of Python. This module is a newer version derived from earlier work by Andrew Kuchling, Richard Jones and Steve Traugott. A test suite using unittest is included with the source distribution. Simple usage: >>> import gnupg >>> gpg = gnupg.GPG(gnupghome='/path/to/keyring/directory') >>> gpg.list_keys() [{ ... 'fingerprint': 'F819EE7705497D73E3CCEE65197D5DAC68F1AAB2', 'keyid': '197D5DAC68F1AAB2', 'length': '1024', 'type': 'pub', 'uids': ['', 'Gary Gross (A test user) <gary.gr...(a)gamma.com>']}, { ... 'fingerprint': '37F24DD4B918CC264D4F31D60C5FEFA7A921FC4A', 'keyid': '0C5FEFA7A921FC4A', 'length': '1024', ... 'uids': ['', 'Danny Davis (A test user) <danny.da...(a)delta.com>']}] >>> encrypted = gpg.encrypt("Hello, world!", ['0C5FEFA7A921FC4A']) >>> str(encrypted) '-----BEGIN PGP MESSAGE-----\nVersion: GnuPG v1.4.9 (GNU/Linux)\n \nhQIOA/6NHMDTXUwcEAf ... -----END PGP MESSAGE-----\n' >>> decrypted = gpg.decrypt(str(encrypted), passphrase='secret') >>> str(decrypted) 'Hello, world!' >>> signed = gpg.sign("Goodbye, world!", passphrase='secret') >>> verified = gpg.verify(str(signed)) >>> print "Verified" if verified else "Not verified" 'Verified' For more information, visit http://code.google.com/p/python-gnupg/ - as always, your feedback is most welcome (especially bug reports, patches and suggestions for improvement). Enjoy! Cheers Vinay Sajip Red Dove Consultants Ltd.

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ANN: rom 0.19 - Redis object mapper for Python
by Josiah Carlson 27 Aug '13

27 Aug '13

Hey everyone, As time progresses, so does my Redis object mapper. The "rom" package is a Redis object mapper for Python. It sports an interface similar to Django's ORM, SQLAlchemy + Elixir, or Appengine's datastore. The changelog for recent releases can be seen below my signature. You can find the package at: https://www.github.com/josiahcarlson/rom https://pypi.python.org/pypi/rom And docs can be found at: http://pythonhosted.org/rom/ Please CC me on any replies if you have any questions or comments. Thank you, - Josiah #----------------------------------- 0.19 ------------------------------------ [fixed] Thanks to a bug report by https://github.com/MickeyKim , was notified of a bug when using unique indexes, which is now fixed and has a testcase. #----------------------------------- 0.18 ------------------------------------ [fixed] Thanks to a bug report by https://github.com/MickeyKim , was notified and received an interim patch for a bug that could cause deleted entities to be resurrected on session.commit() or session.flush() . This has now been fixed and a testcase has been added. #----------------------------------- 0.17 ------------------------------------ [added] LGPL 3 licensing option. #----------------------------------- 0.16 ------------------------------------ [added] Thanks to a feature request from https://github.com/jrsmith , Boolean column support is now available. [added] DateTime, Date, and Time column types because I was already adding Boolean columns.

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New version of CodeInvestigator.
by Martien Friedeman 26 Aug '13

26 Aug '13

CodeInvestigator version 3.2.0 was released on August 21. Release notes: Bug fixes: - Chrome browser: search by value - less memory usage Changes: - nested iterations remain at selected iteration as much as possible - block colours now follow a set pattern - searches are now grouped in subgroups - user can now use middle-click to open functions in a sepatate tab - user can use <refresh> <back> <forward> and bookmarks - more shortcut keys - printout position retained over iterations - iteration tabs can now be scrolled through CodeInvestigator is a tracing tool for Python programs. Running a program through CodeInvestigator creates a recording. Program flow, function calls, variable values and conditions are all stored for every line the program executes. The recording is then viewed with an interface consisting of the code. The code can be clicked: A clicked variable displays its value,a clicked loop displays its iterations. You read code, and have at your disposal all the run time details of that code. A computerized desk check tool and another way to learn about your program. http://sourceforge.net/project/showfiles.php?group_id=183942

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Plumbum 1.3 released
by Tomer Filiba 25 Aug '13

25 Aug '13

http://plumbum.readthedocs.org/en/latest/index.html Ever wished the compactness of shell scripts be put into a real programming language? Say hello to Plumbum Shell Combinators. Plumbum (Latin for lead, which was used to create pipes back in the day) is a small yet feature-rich library for shell script-like programs in Python. The motto of the library is "Never write shell scripts again", and thus it attempts to mimic the shell syntax (shell combinators) where it makes sense, while keeping it all Pythonic and cross-platform. Plumbum provides shell-combinators ("syntactic sugar") on top of Popen, local and remote process execution, local and remote path manipulation and a powerful optparse/argparse replacement for writing CLI application, Changelog: http://plumbum.readthedocs.org/en/latest/changelog.html

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Release 3.2.0 of CodeInvestigator.
by hans moleman 22 Aug '13

22 Aug '13

CodeInvestigator 3.2.0 was released on August 21. Bug fixes: - Chrome browser: search by value - less memory usage Changes: - nested iterations remain at selected iteration as much as possible - block colors now follow a set pattern - searches are now grouped in subgroups - user can now use middle-click to open functions in a separate tab - user can use <refresh> <back> <forward> and bookmarks - more shortcut keys - printout position retained over iterations - iteration tabs can now be scrolled through You need Python >= 2.7 and Firefox or Chrome for CodeInvestigator. CodeInvestigator is a tracing tool for Python programs. Running a program through CodeInvestigator creates a recording. Program flow, function calls, variable values and conditions are all stored for every line the program executes. The recording is then viewed with an interface consisting of the code. The code can be clicked: A clicked variable displays its value, a clicked loop displays its iterations. You read code, and have at your disposal all the run time details of that code. A computerized desk check tool and another way to learn about your program. http://sourceforge.net/project/showfiles.php?group_id=183942

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ANN: Spyder v2.2.3 released
by Pierre Raybaut 21 Aug '13

21 Aug '13

Hi all, On the behalf of Spyder's development team ( http://code.google.com/p/spyderlib/people/list), I'm pleased to announce that Spyder v2.2.3 has been released and is available for Windows XP/Vista/7/8, GNU/Linux and MacOS X: http://code.google.com/p/spyderlib/. This is a maintenance release of the v2.2 branch which is the last release to support Python 2.5: * Spyder 2.2 supports Python 2.5 to 2.7 * Spyder 2.3 will support Python 2.7 to 3.3 * (Spyder 2.3.0dev6 is also available as of today: this is an experimental release but quite stable which already supports Python 3) See also https://code.google.com/p/spyderlib/downloads/list. Since v2.2.2: * Several bug have been fixed (see changelog for further details: https://code.google.com/p/spyderlib/wiki/ChangeLog) * New features have been added like full support for a MATLAB-like cell mode (see "Run" menu) and the Optional Dependencies dialog box (see menu "?") which gives the user a status of Spyder's dependencies Spyder is a free, open-source (MIT license) interactive development environment for the Python language with advanced editing, interactive testing, debugging and introspection features. Originally designed to provide MATLAB-like features (integrated help, interactive console, variable explorer with GUI-based editors for dictionaries, NumPy arrays, ...), it is strongly oriented towards scientific computing and software development. Thanks to the `spyderlib` library, Spyder also provides powerful ready-to-use widgets: embedded Python console (example: http://packages.python.org/guiqwt/_images/sift3.png), NumPy array editor (example: http://packages.python.org/guiqwt/_images/sift2.png), dictionary editor, source code editor, etc. Description of key features with tasty screenshots can be found at: http://code.google.com/p/spyderlib/wiki/Features Don't forget to follow Spyder updates/news: * on the project website: http://code.google.com/p/spyderlib/ * and on our official blog: http://spyder-ide.blogspot.com/ Last, but not least, we welcome any contribution that helps making Spyder an efficient scientific development/computing environment. Join us to help creating your favourite environment! (http://code.google.com/p/spyderlib/wiki/NoteForContributors) Enjoy! -Pierre

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Xlsxi18n: generate Android translations with a simple Python script
by Andrea Stagi 20 Aug '13

20 Aug '13

Hi, I'm happy to announce a small project that saved my time days ago, a 100% Python script to generate xml file for your Android application from a xlsx file! The code is release under MIT License and available on GitHub: https://github.com/astagi/xlsxi18n Please follow the README for further information and see how it's simple to manage all the translation work with this tool :) Hope you can find it useful! =.4S.= -- Andrea Stagi (@4ndreaSt4gi) - Software Engineer Job profile: http://linkedin.com/in/andreastagi Website: http://4spills.blogspot.it/ Github: http://github.com/astagi

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PyGObject 3.9.90 released
by Martin Pitt 19 Aug '13

19 Aug '13

I am pleased to announce version 3.9.90 of the Python bindings for GObject. This is the first beta release of the 3.9.x series which will eventually result in the stable 3.10 release for GNOME 3.10. Download ======== The new release is available from ftp.gnome.org: http://download.gnome.org/sources/pygobject/3.9/pygobject-3.9.90.tar.xz sha256sum: 0be592918257e8304fea0d27584766c9a4a5f142669d83313e2faffc840f683a What’s new since PyGObject 3.9.5 ================================ - Create GLib.Pid in the same way on python 2 and 3 (Benjamin Berg) (#705451) - Use PyLong_Type.tp_new for GLib.Pid (Benjamin Berg) (#705451) - Add accumulator and accu_data arguments to GObject.Signal decorator (Simon Feltman) (#705533) - Pass return values through the GObject.Signal.emit wrapper (Simon Feltman) (#705530) About PyGObject =============== GObject is a object system used by GTK+, GStreamer and other libraries. PyGObject provides a convenient wrapper for use in Python programs when accessing GObject libraries. Like the GObject library itself PyGObject is licensed under the GNU LGPL, so is suitable for use in both free software and proprietary applications. It is already in use in many applications ranging from small single purpose scripts up to large full featured applications. PyGObject now dynamically accesses any GObject libraries that uses GObject Introspection. It replaces the need for separate modules such as PyGTK, GIO and python-gnome to build a full GNOME 3.0 application. Once new functionality is added to gobject library it is instantly available as a Python API without the need for intermediate Python glue. Martin -- Martin Pitt | http://www.piware.de Ubuntu Developer (www.ubuntu.com) | Debian Developer (www.debian.org)

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ANN: rom 0.18 - Redis object mapper for Python
by Josiah Carlson 18 Aug '13

18 Aug '13

Hey everyone, As time progresses, so does my Redis object mapper. The "rom" package is a Redis object mapper for Python. It sports an interface similar to Django's ORM, SQLAlchemy + Elixir, or Appengine's datastore. The changelog for recent releases can be seen below my signature. You can find the package at: https://www.github.com/josiahcarlson/rom https://pypi.python.org/pypi/rom And docs can be found at: http://pythonhosted.org/rom/ Please CC me on any replies if you have any questions or comments. Thank you, - Josiah #----------------------------------- 0.18 ------------------------------------ [fixed] Thanks to a bug report by https://github.com/MickeyKim , was notified and received an interim patch for a bug that could cause deleted entities to be resurrected on session.commit() or session.flush() . This has now been fixed and a testcase has been added. #----------------------------------- 0.17 ------------------------------------ [added] LGPL 3 licensing option. #----------------------------------- 0.16 ------------------------------------ [added] Thanks to a feature request from https://github.com/jrsmith , Boolean column support is now available. [added] DateTime, Date, and Time column types because I was already adding Boolean columns. #----------------------------------- 0.15 ------------------------------------ [fixed] Thanks to https://github.com/MickeyKim who fixed Json columns so that they round-trip after multiple saves.

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Python-announce-list August 2013