Python-announce-list February 2012

python-announce-list@python.org

33 participants
40 discussions

sec-wall 1.1 / A feature packed security proxy
by Dariusz Suchojad 29 Feb '12

29 Feb '12

Hello, the version 1.1 of sec-wall has just been released. Notable changes --------------- - Added an 'ssl-wrap-only' option for terminating SSL without requiring clients to provide any authentication information - Simplified access to sec-wall's internals from other Python packages so various authentication methods can be directly imported from Python code What is sec-wall? ----------------- sec-wall is a feature packed security proxy. sec-wall has many interesting features, including support for SSL/TLS, WS-Security, HTTP Auth Basic/Digest, extensible authentication schemes based on custom HTTP headers and XPath expressions, powerful URL matching/rewriting and an optional headers enrichment. sec-wall uses and is built on top of several fantastic Python open source technologies, such as gevent, Spring Python, pesto, lxml, zdaemon or PyYAML and is meant to be highly customizable and easy to use. Good performance, tests, documentation and building an awesome community are at the very heart of the project. Here's an example showing how little is needed to secure a backend server with HTTP Basic Auth. # ###################################################### # -*- coding: utf-8 -*- # stdlib import uuid # Don't share it with anyone. INSTANCE_SECRET = '5bf4e78c256746eda2ce3e0e73f256d0' # May be shared with the outside world. INSTANCE_UNIQUE = uuid.uuid4().hex def default(): return { 'basic-auth':True, 'basic-auth-username':'MyUser', 'basic-auth-password':'MySecret', 'basic-auth-realm':'Secure area', 'host': 'http://example.com' } urls = [ ('/*', default()), ] # ###################################################### Links ----- Project's homepage: http://sec-wall.gefira.pl/ Getting started: http://sec-wall.gefira.pl/documentation/getting-started/index.html Usage examples: http://sec-wall.gefira.pl/documentation/usage-examples/index.html Twitter: https://twitter.com/fourthrealm Blog: http://www.gefira.pl/blog IRC: #sec-wall channel on Freenode network cheers, -- Dariusz Suchojad

1 0

ButtonBar Windows Utility - ButtonBar.py
by philrist＠comcast.net 28 Feb '12

28 Feb '12

This program produces a buttonbar controlled by an initialization file simular to that used by qeditor. Users can set button colors, change the working directory, set environment variables and execute arbitrary programs during startup. Any of these commands and the commands associated with the buttons can contain macros which are expanded by the Do or Do2 programs. 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1 0

Do2 Commandline Utility - Do2.py
by philrist＠comcast.net 28 Feb '12

28 Feb '12

This is an extension to the Do.py program. It adds several features. Documentation is included in the source. begin 644 Do2.py M#0HC("TM+2TM+2TM+2TM+2TM+2TM+2TM+2TM+2TM+2TM+2TM+2TM+2TM+2TM M+2TM+2T-"B,@3F%M93H@1&\R#0HC($1E<V-R:7!T:6]N.B!%>'!A;F0@86YD M(&5X96-U=&4@8V]M;6%N9`T*(R,@1#(P2"TS-2!%>'!A;F0@86YD(&5X96-U M=&4@8V]M;6%N9`T*(PT*(R!!=71H;W(Z(%!H:6QI<"!3+B!2:7-T#0HC($1A M=&4Z(#$P+S(T+S(P,3`-"B,@0V]P>7)I9VAT(#(P,3`@8GD@4W0N(%1H;VUA M<R!3;V9T=V%R90T*(R`M+2TM+2TM+2TM+2TM+2TM+2TM+2TM+2TM+2TM+2TM M+2TM+2TM+2TM+2TM+2TM#0HC(%1H:7,@<')O9W)A;2!I<R!F<F5E=V%R92X@ M($ET(&UA>2!B92!U<V5D#0HC(&9O<B!A;GD@;6]R86P@<'5R<&]S92X@(%EO M=2!U<V4@:70@870@>6]U<@T*(R!O=VX@<FES:RX@(%-T+B!4:&]M87,@4V]F M='=A<F4@;6%K97,@;F\-"B,@9W5A<F%N=&5E<R!T;R!I=',@9FET;F5S<R!T M;R!D;R!A;GET:&EN9RX-"B,-"B,@268@>6]U(&9E96P@>6]U(&UU<W0@<&%Y M(&9O<B!I="X@4&QE87-E#0HC('-E;F0@;VYE(&UI;&QI;VX@9&]L;&%R<R!T M;PT*(PT*(R`@("`@5&AE($EN=&5R;F%T:6]N86P@4F5S8W5E($-O;6UI='1E M90T*(R`@("`@,3(R($5A<W0@-#)N9"!3=')E970-"B,@("`@($YE=R!9;W)K M+"!.+EDN("`@,3`Q-C@M,3(X.0T*(PT*(R!/:RP@=V4@87)E(&EN(&$@<F5C 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end

1 0

Do Commandline Utility - Do.py
by philrist＠comcast.net 28 Feb '12

28 Feb '12

Here is the latest version of my Do.py Windows command line utility. Documentation is included in the source. It is used from a Windows Explorer context menu or other command line where one file path is supplied and two are needed or where a path other than the selected path is required. It is also imported by the Do2 and ButtonBar programs. If this program is not useful I hope you will at least find it interesting. begin 644 Do.py M(R`M+2TM+2TM+2TM+2TM+2TM+2TM+2TM+2TM+2TM+2TM+2TM+2TM+2TM+2TM M+2TM#0HC($YA;64Z($1O#0HC($1E<V-R:7!T:6]N.B!%>'!A;F0@86YD(&5X M96-U=&4@8V]M;6%N9`T*(R,@1#(P2"TS-2!%>'!A;F0@86YD(&5X96-U=&4@ M8V]M;6%N9`T*(PT*(R!!=71H;W(Z(%!H:6QI<"!3+B!2:7-T#0HC($1A=&4Z M(#$P+S$R+S(P,3`-"B,@0V]P>7)I9VAT(#(P,3`L(#(P,3(@8GD@4W0N(%1H M;VUA<R!3;V9T=V%R90T*(R`M+2TM+2TM+2TM+2TM+2TM+2TM+2TM+2TM+2TM M+2TM+2TM+2TM+2TM+2TM+2TM#0HC(%1H:7,@<')O9W)A;2!I<R!F<F5E=V%R M92X@($ET(&UA>2!B92!U<V5D#0HC(&9O<B!A;GD@;6]R86P@<'5R<&]S92X@ M(%EO=2!U<V4@:70@870@>6]U<@T*(R!O=VX@<FES:RX@(%-T+B!4:&]M87,@ M4V]F='=A<F4@;6%K97,@;F\-"B,@9W5A<F%N=&5E<R!T;R!I=',@9FET;F5S M<R!T;R!D;R!A;GET:&EN9RX-"B,-"B,@268@>6]U(&9E96P@>6]U(&UU<W0@ M<&%Y(&9O<B!I="X@4&QE87-E#0HC('-E;F0@;VYE(&UI;&QI;VX@9&]L;&%R M<R!T;PT*(PT*(R`@("`@5&AE($EN=&5R;F%T:6]N86P@4F5S8W5E($-O;6UI M='1E90T*(R`@("`@,3(R($5A<W0@-#)N9"!3=')E970-"B,@("`@($YE=R!9 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M#0H@("`@("`@("`@("`@("`@#0H@("`@("`@("`@("!E;&EF(&U+97D@/3T@ M)RUE)SH@("`@("`@("`@("`@("`C(%-E="!E;G9I<F]N;65N="!V87)I86)L M90T*("`@("`@("`@("`@("`@('-E=&5N=FER;VXH;59A;'5E+"!M1FEL94YA M;64I#0H@("`@("`@("`@("`@("`@("`@("`@("`@("`@#0H@("`@("`@('-U M8FUI=&YO=RAM0V]M;6%N9"P(a);49I;&5.86UE*0T*("`@(&5L<V4Z#0H@("`@ M("`@('!R:6YT("=$;SH@0V]M;6%N9"!A;F0O;W(@9FEL92!P871H(&UI<W-I 1;F<G#0H@("`@#0H-"B`@("`` ` end

1 0

ANN: SciPy 0.10.1 released
by Ralf Gommers 27 Feb '12

27 Feb '12

Hi all, I am pleased to announce the availability of SciPy 0.10.1. This is a maintenance release, with no new features compared to 0.10.0. Sources and binaries can be found at http://sourceforge.net/projects/scipy/files/scipy/0.10.1/, release notes are copied below. Enjoy, The SciPy developers ========================== SciPy 0.10.1 Release Notes ========================== .. contents:: SciPy 0.10.1 is a bug-fix release with no new features compared to 0.10.0. Main changes ------------ The most important changes are:: 1. The single precision routines of ``eigs`` and ``eigsh`` in ``scipy.sparse.linalg`` have been disabled (they internally use double precision now). 2. A compatibility issue related to changes in NumPy macros has been fixed, in order to make scipy 0.10.1 compile with the upcoming numpy 1.7.0 release. Other issues fixed ------------------ - #835: stats: nan propagation in stats.distributions - #1202: io: netcdf segfault - #1531: optimize: make curve_fit work with method as callable. - #1560: linalg: fixed mistake in eig_banded documentation. - #1565: ndimage: bug in ndimage.variance - #1457: ndimage: standard_deviation does not work with sequence of indexes - #1562: cluster: segfault in linkage function - #1568: stats: One-sided fisher_exact() returns `p` < 1 for 0 successful attempts - #1575: stats: zscore and zmap handle the axis keyword incorrectly

1 0

ANN: SfePy 2012.1
by Robert Cimrman 27 Feb '12

27 Feb '12

I am pleased to announce release 2012.1 of SfePy. Description ----------- SfePy (simple finite elements in Python) is a software for solving systems of coupled partial differential equations by the finite element method. The code is based on NumPy and SciPy packages. It is distributed under the new BSD license. Home page: http://sfepy.org Downloads, mailing list, wiki: http://code.google.com/p/sfepy/ Git (source) repository, issue tracker: http://github.com/sfepy Highlights of this release -------------------------- - initial version of linearizer of higher order solutions - rewrite variable and evaluate cache history handling - lots of term updates/fixes/simplifications - move web front page to sphinx docs For full release notes see http://docs.sfepy.org/doc/release_notes.html#id1 (rather long and technical). Best regards, Robert Cimrman and Contributors (*) (*) Contributors to this release (alphabetical order): Tom Aldcroft, Vladimír Lukeš, Matyáš Novák, Andre Smit

1 0

Announce: Linux Desktop Testing Project (LDTP) 2.3.1 released
by Nagappan Alagappan 25 Feb '12

25 Feb '12

Hello, About LDTP: Linux Desktop Testing Project is aimed at producing high quality test automation framework (using GNOME / Python) and cutting-edge tools that can be used to test Linux Desktop and improve it. It uses the Accessibility libraries to poke through the application's user interface. We strive to help in building a quality desktop. Changes in this release: Added twisted gtk3reactor Operate on window name using index, will be helpful with i18n, l10n testing at-spi2 related fixes to improve test execution time (Ubuntu 12.04) Special thanks: Mike Gorse VMware Desktop UI automation Dave Morley Andre Klapper (i18n / l10n suggestions) Download source: http://download.freedesktop.org/ldtp/2.x/2.3.x/ldtp-2.3.1.tar.gz Download RPM and DEB from http://download.opensuse.org/repositories/home:/anagappan:/ldtp2:/ Documentation references: For detailed information on LDTP framework and latest updates visit http://ldtp.freedesktop.org For information on various APIs in LDTP including those added for this release can be got from http://ldtp.freedesktop.org/user-doc/index.html Report bugs - http://ldtp.freedesktop.org/wiki/Bugs To subscribe to LDTP mailing lists, visit http://ldtp.freedesktop.org/wiki/Mailing_20list IRC Channel - #ldtp on irc.freenode.net Thanks Nagappan -- Linux Desktop (GUI Application) Testing Project - http://ldtp.freedesktop.org http://nagappanal.blogspot.com

1 0

[RELEASED] Release candidates for Python 2.6.8, 2.7.3, 3.1.5, and 3.2.3
by Benjamin Peterson 25 Feb '12

25 Feb '12

We're pleased to announce the immediate availability of release candidates for Python 2.6.8, 2.7.3, 3.1.5, and 3.2.3 . The main impetus for these releases is fixing a security issue in Python's hash based types, dict and set, as described below. Python 2.7.3 and 3.2.3 include the security patch and the normal set of bug fixes. Since Python 2.6 and 3.1 are maintained only for security issues, 2.6.8 and 3.1.5 contain only various security patches. The security issue exploits Python's dict and set implementations. Carefully crafted input can lead to extremely long computation times and denials of service. [1] Python dict and set types use hash tables to provide amortized constant time operations. Hash tables require a well-distributed hash function to spread data evenly across the hash table. The security issue is that an attacker could compute thousands of keys with colliding hashes; this causes quadratic algorithmic complexity when the hash table is constructed. To alleviate the problem, the new releases add randomization to the hashing of Python's string types (bytes/str in Python 3 and str/unicode in Python 2), datetime.date, and datetime.datetime. This prevents an attacker from computing colliding keys of these types without access to the Python process. Hash randomization causes the iteration order of dicts and sets to be unpredictable and differ across Python runs. Python has never guaranteed iteration order of keys in a dict or set, and applications are advised to never rely on it. Historically, dict iteration order has not changed very often across releases and has always remained consistent between successive executions of Python. Thus, some existing applications may be relying on dict or set ordering. Because of this and the fact that many Python applications which don't accept untrusted input are not vulnerable to this attack, in all stable Python releases mentioned here, HASH RANDOMIZATION IS DISABLED BY DEFAULT. There are two ways to enable it. The -R commandline option can be passed to the python executable. It can also be enabled by setting an environmental variable PYTHONHASHSEED to "random". (Other values are accepted, too; pass -h to python for complete description.) More details about the issue and the patch can be found in the oCERT advisory [1] and the Python bug tracker [2]. These releases are releases candidates and thus not recommended for production use. Please test your applications and libraries with them, and report any bugs you encounter. We are especially interested in any buggy behavior observed using hash randomization. Excepting major calamity, final versions should appear after several weeks. Downloads are at http://python.org/download/releases/2.6.8/ http://python.org/download/releases/2.7.3/ http://python.org/download/releases/3.1.5/ http://python.org/download/releases/3.2.3/ Please test these candidates and report bugs to http://bugs.python.org/ With regards, The Python release team Barry Warsaw (2.6), Georg Brandl (3.2), Benjamin Peterson (2.7 and 3.1) [1] http://www.ocert.org/advisories/ocert-2011-003.html [2] http://bugs.python.org/issue13703

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Python Power Course and much more
by Mike Müller 24 Feb '12

24 Feb '12

Python Power Course and much more ================================= The "Python Power Course" [1] consist of 8 sucessive days of Python training. This is 3 days "Advanced Python" [2] and 5 days "HPC with Python" [3] for intermediate Python programmers. Sounds interesting but no Python experience yet? Just add another 3 days "Python for Programmers" [4] offered just before the "Python Power Course" for an up to 11-day non-stop Python immersion. You prefer German as teaching language? We also offer: * Python für Programmierer [5] * Python für Wissenschaftler und Ingenieure [6] * Einstieg in Django [7] * Django für Fortgeschrittene [8] See below for course details. [1] http://www.python-academy.com/courses/python_power_course.html [2] http://www.python-academy.com/courses/specialtopics/python_course_advanced.… [3] http://www.python-academy.com/courses/python_course_high_performance.html [4] http://www.python-academy.com/courses/python_course_programmers.html [5] http://www.python-academy.de/Kurse/python_kurs_programmierer.html [6[ http://www.python-academy.de/Kurse/python_kurs_wissenschaftler.html [7] http://www.python-academy.de/Kurse/django_kurs_einstieg.html [8] http://www.python-academy.de/Kurse/django_kurs_fortgeschrittene.html Python für Programmierer ------------------------ The German version of our Python introduction for people who know programming. Learn how to write pythonic programs from day one. Date: 16.04.-18.04.2012 Location: Leipzig, Germany Trainer: Mike Müller Course Language: German Link: http://www.python-academy.de/Kurse/python_kurs_programmierer.html Python für Wissenschaftler und Ingenieure ----------------------------------------- German engineers do use Python to construct cars, for example. In this course they can learn how to leverage import Python libraries for this. Date: 19.04.-21.04.2012 Location: Leipzig, Germany Trainer: Mike Müller Course Language: German Link: http://www.python-academy.de/Kurse/python_kurs_wissenschaftler.html Einstieg in Django ------------------ Learn Django, the famous Python web framework. This course starts at the beginning; no prior Django knowlegde required. Date: 23.04.-25.04.2012 Location: Leipzig, Germany Trainer: Markus Zapke-Gründemann Course Language: German Link: http://www.python-academy.de/Kurse/django_kurs_einstieg.html Django für Fortgeschrittene --------------------------- You would like to get deeper into Django? This course provides advanced concepts. Ask the Django expert your specific questions. Date: 26.04.-27.04.2012 Location: Leipzig, Germany Trainer: Markus Zapke-Gründemann Course Language: German Link: http://www.python-academy.de/Kurse/django_kurs_fortgeschrittene.html Python for Programmers ---------------------- You know another programming language and would like to learn Python? This course teaches you all the basics to write useful Python programs. It is hands-on with plenty of exercises and also provides sound knowledge how Python does things. Date: 05.06.-07.06.2012 Location: Leipzig, Germany Trainer: Mike Müller Course Language: English Link: http://www.python-academy.com/courses/python_course_programmers.html Advanced Python --------------- You would like to learn more about metaclasses, decorators, descriptors, context managers, comprehensions, patterns and good Python programming practices? This courses teaches all this with plenty of hands-on examples that makes these, admittedly somewhat involved topics, accessibly to everybody with intermediate Python experience. Date: 08.06.-10.06.2012 Location: Leipzig, Germany Trainer: Mike Müller Course Language: English Link: http://www.python-academy.com/courses/specialtopics/python_course_advanced.… HPC with Python --------------- "High-Performance Computation with Python" is the new kid in the block. This course is designed to give you a solid foundation to improve the run time of your Python programs and write efficient algorithms. The ingredients are use of the right data structure for the problem, extension in other languages, Cython and NumPy. There five course that can be booked separately. See below for more details. Date: 11.06.-15.06.2012 Location: Leipzig, Germany Trainer: Mike Müller, Stefan Behnel Course Language: English Link: http://www.python-academy.com/courses/python_course_high_performance.html Optimizing of Python Programs ++++++++++++++++++++++++++++++ Learn how to profile programs, choose the right data structures and algorithms for the right purpose and get some hands-on experience in making Python programs faster with comparable little modifications. Python Extensions with Other Languages ++++++++++++++++++++++++++++++++++++++ Learn about options to connect Python to other languages starting form Python's C-API and hand-written extensions the tour looks a Cython, ctypes, SWIG, Jython, Ironpython, and even f2py to connect with Fortran. Fast Code with the Cython Compiler ++++++++++++++++++++++++++++++++++ In-depth coverage of Cython with Cython core developer Stefan Behnel. No question about writing extensions and using external C libraries with Cython should remain unanswered after this day. Numerical Calculations with NumPy +++++++++++++++++++++++++++++++++ NumPy is the way to work with multi-dimensional numerical arrays in Python. It is fast and provides a high-level programmer interface. This course day teaches you all the basics. Fast NumPy Processing with Cython +++++++++++++++++++++++++++++++++ Working with NumPy you need to avoid loops over arrays to make your code fast. While NumPy provides indexing and other techniques to help you here, some types of algorithms are easier expressed with loops. Combining NumPy with Cython you can write fast loops. Another topic is parallel programming with OpenMP to take advantage of multi-core CPUs that become so common place these days. Questions? ---------- If you have any questions about the courses, please feel free to ask me. Cheers, Mike

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relatorio 0.5.6 released
by Cédric Krier 23 Feb '12

23 Feb '12

Relatorio is a templating library which provides a way to easily output all kind of different files (odt, ods, png, svg, ...) from python objects. A new minor release of relatorio has been published that fixes some issues and adds some improvements: * Add expression cache to prevent multiple evaluation of the same * expression * Fix typo when writing manifest * Remove Thumbnails in opendocument * Clean meta in opendocument * Clean template code from draw:frame in opendocument * Use StringIO as failback of cStringIO relatorio is available on PyPI: http://pypi.python.org/pypi/relatorio/0.5.6

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Python-announce-list February 2012