Mailman 3 March 2015 - Python-announce-list

ANN: Bokeh 0.8.2 released
by Damian Avila March 26, 2015

March 26, 2015

Hi all, We are excited to announce the release of version *0.8.2* of Bokeh, an interactive web plotting library for Python... and other languages! This minor release includes some refactoring, many bug fixes and nice improved documentation. * Collect implicit interfaces into a single bokeh.io module * Fixed notebook css issues * Update notebooks to be compatible with IPython 3.0 * Easy bokeh applet generation using the simpleapp module * Develop installation enhancements * A new User guide intro and some other docs styling enhancements * Some other minor examples bugfixes See the CHANGELOG for full details. If you are using Anaconda/miniconda, you can install it with conda: *conda install -c bokeh bokeh* *Note*: please check that we have added the *-c bokeh* subcommand which points to the main channel of the Binstar bokeh user. Additionally, this release will be available on the regular repo in a week or so. If you want to avoid the *-c bokeh* subcommand you can add this channel to your *.condarc* file with: *conda config --add channels bokeh* and then you will be able to just use the original command: *conda install bokeh* Alternatively, you can install with pip: *pip install bokeh* Developer builds are also now made available to get features in the hands of interested users more quickly. See the Developer Builds section in the documentation for more details. BokehJS is also available by CDN for use in standalone Javascript applications: * http://cdn.pydata.org/bokeh/release/bokeh-0.8.2.min.js * http://cdn.pydata.org/bokeh/release/bokeh-0.8.2.min.css Finally, BokehJS is also installable with the Node Package Manager at https://www.npmjs.com/package/bokehjs Issues, enhancement requests, and pull requests can be made on the Bokeh Github page: https://github.com/bokeh/bokeh Questions can be directed to the Bokeh mailing list: bokeh(a)continuum.io Cheers! -- *Damián Avila* *Continuum Analytics* *damian.avila(a)continuum.io <damian.avila(a)continuum.io>*

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Trac 1.1.4 Released
by Ryan Ollos March 24, 2015

March 24, 2015

Trac 1.1.4 Released =================== Trac 1.1.4 continues the 1.1.x development line leading to 1.2 with some new features and a few not-so-disruptive changes. Note that the 1.1.x releases are "stable" and tested snapshots of the trunk. They can be seen as sub-milestones on the road towards Trac 1.2. As opposed to maintenance releases, *we offer no guarantees on feature and API compatibility from one 1.1.x release to the next*. However, by following 1.1.x you get a chance to use new features earlier, and therefore be able to contribute feedback when things are still in flux. It's also less risky than just getting the latest trunk, as we won't cut a 1.1.x release in the middle of a series of changes (though we had and still intend to have a good record of keeping things always working on trunk). The intended audience are therefore enthusiast Trac users and Trac plugin developers. These packages should *not* be integrated in distributions, for example. Here are a few highlights: - Performance improvements with MySQL/MariaDB (#3676). - Click on //Permissions// Admin page table row toggles all checkboxes in the row (#11417). - Configuration sections are written to trac.ini when enabling a component through TracAdmin or the web administration module (#11437). - Subscription rules can be reordered by drag and drop (#11941). Besides the few issues listed here, the fixes made for 1.0.4 and 1.0.5 are also included. You can find all the detailed release notes at: - http://trac.edgewall.org/wiki/TracDev/ReleaseNotes/1.1#DevelopmentReleases - http://trac.edgewall.org/wiki/TracDev/ReleaseNotes/1.0#MaintenanceReleases Download URLs: http://download.edgewall.org/trac/Trac-1.1.4.tar.gz http://download.edgewall.org/trac/Trac-1.1.4.win32.exe http://download.edgewall.org/trac/Trac-1.1.4.win-amd64.exe http://download.edgewall.org/trac/Trac-1.1.4.zip MD5 sums: 89a6fcdad8ad251b43db5c4517b8603b Trac-1.1.4.zip bc35487b49b7e017d6c89ad9b5e23ba9 Trac-1.1.4.tar.gz 7d628ff5b372319ed104987163ff9797 Trac-1.1.4.win32.exe 2b11461fb5c8262122e902eb2fe14872 Trac-1.1.4.win-amd64.exe SHA1 sums: 34d6b72421918ea7f87896c53c6f198d3ccbbd4f Trac-1.1.4.zip c7c2e19767fd22e3b9000f3f27299bd799043012 Trac-1.1.4.tar.gz b53c562edcc328a371e928c4d0d6f8d597657b7b Trac-1.1.4.win32.exe a1884a9b5cff506ddeee535b44139f2a94a385e4 Trac-1.1.4.win-amd64.exe Enjoy! - The Trac Team http://trac.edgewall.org/

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Trac 1.0.5 Released
by Ryan Ollos March 24, 2015

March 24, 2015

Trac 1.0.5 Released =================== Trac 1.0.5, the fifth maintenance release for the current stable branch, is now available! You will find this release at the usual places: http://trac.edgewall.org/wiki/TracDownload#LatestStableRelease https://pypi.python.org/pypi/Trac/1.0.5 Trac 1.0.5 provides several fixes. The following are some highlights: - Images are not rendered in the timeline (#10751). - Git tags are shown in the browser view (#11964). - Added support for `journal_mode` and `synchronous` pragmas in `sqlite:` database connection string (#11967). You can find the detailed release notes for 1.0.5 on the following pages: http://trac.edgewall.org/wiki/TracDev/ReleaseNotes/1.0#MaintenanceReleases Now to the packages themselves: URLs: http://download.edgewall.org/trac/Trac-1.0.5.tar.gz http://download.edgewall.org/trac/Trac-1.0.5.win32.exe http://download.edgewall.org/trac/Trac-1.0.5.win-amd64.exe http://download.edgewall.org/trac/Trac-1.0.5.zip MD5 sums: 17449de4359f71f3c40b894b70ea52d0 Trac-1.0.5.zip 1146c849f926f9eeb8448569159b29e0 Trac-1.0.5.tar.gz 987c2c891f5d13ad5eac006cc01290c1 Trac-1.0.5.win32.exe d61f149b4b6733e2776b93421afa6b9d Trac-1.0.5.win-amd64.exe SHA1 sums: 87274c88e901ab809fd9d363175007a6648c7ef9 Trac-1.0.5.zip 83d27bbdd62691a5f8e5ca83c3e28187004c8ebe Trac-1.0.5.tar.gz 9b1fa285e5458927df86cf1d9de18e33b5fdf55e Trac-1.0.5.win32.exe 8dcc716ce756fea878e2716c0275d32477107ee3 Trac-1.0.5.win-amd64.exe Acknowledgements ================ Many thanks to the growing number of people who have, and continue to, support the project. Also our thanks to all people providing feedback and bug reports that helps us make Trac better, easier to use and more effective. Without your invaluable help, Trac would not evolve. Thank you all. Finally, we offer hope that Trac will prove itself useful to like- minded programmers around the world, and that this release will be an improvement over the last version. Please let us know. :-) /The Trac Team http://trac.edgewall.org/

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ANN: eGenix pyOpenSSL Distribution 0.13.8
by eGenix Team: M.-A. Lemburg March 24, 2015

March 24, 2015

________________________________________________________________________ ANNOUNCING eGenix.com pyOpenSSL Distribution Version 0.13.8 An easy-to-install and easy-to-use distribution of the pyOpenSSL Python interface for OpenSSL - 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-pyOpenSSL-Distribution-0.13.8.html ________________________________________________________________________ INTRODUCTION The eGenix.com pyOpenSSL Distribution includes everything you need to get started with SSL in Python. It comes with an easy-to-use installer that includes the most recent OpenSSL library versions in pre-compiled form, making your application independent of OS provided OpenSSL libraries: http://www.egenix.com/products/python/pyOpenSSL/ pyOpenSSL is an open-source Python add-on that allows writing SSL/TLS- aware network applications as well as certificate management tools: https://launchpad.net/pyopenssl/ OpenSSL is an open-source implementation of the SSL/TLS protocol: http://www.openssl.org/ ________________________________________________________________________ NEWS This new release of the eGenix.com pyOpenSSL Distribution includes the following updates: New in eGenix pyOpenSSL ----------------------- * Added FreeBSD as supported platform. * Updated the Mozilla CA root bundle to version 2015-02-19. New in OpenSSL -------------- * Updated included OpenSSL libraries from OpenSSL 1.0.1k to 1.0.1m. We had skipped OpenSSL 1.0.1l, since the 1.0.1l release only included a patch for Windows we had already included in our 0.13.7 release. See https://www.openssl.org/news/secadv_20150319.txt for a complete list of changes. The following fixes are relevant for pyOpenSSL applications: - CVE-2015-0286: Segmentation fault in ASN1_TYPE_cmp. - CVE-2015-0287: ASN.1 structure reuse memory corruption. - CVE-2015-0289: PKCS#7 NULL pointer dereference. - CVE-2015-0292: A vulnerability existed in previous versions of OpenSSL related to the processing of base64 encoded data. Any code path that reads base64 data from an untrusted source could be affected (such as the PEM processing routines). Already fixed in OpenSSL 1.0.1h, but wasn't listed, so repeated here for completeness. - CVE-2015-0293: Denial-of-Service (DoS) via reachable assert in SSLv2 servers. - CVE-2015-0209: Use After Free following d2i_ECPrivatekey error. A malformed EC private key file consumed via the d2i_ECPrivateKey function could cause a use after free condition. * The FREAK Attack (CVE-2015-0204) patch was already available in our last release with OpenSSL 1.0.1k. Please see the product changelog for the full set of changes: http://www.egenix.com/products/python/pyOpenSSL/changelog.html pyOpenSSL / OpenSSL Binaries Included ------------------------------------- In addition to providing sources, we make binaries available that include both pyOpenSSL and the necessary OpenSSL libraries for all supported platforms: Windows, Linux, Mac OS X and now FreeBSD, for x86 and x64. To simplify installation, we have uploaded a web installer to PyPI which will automatically choose the right binary for your platform, so a simple pip install egenix-pyopenssl will get you the package with OpenSSL libraries installed. Please see our installation instructions for details: http://www.egenix.com/products/python/pyOpenSSL/#Installation We have also added .egg-file distribution versions of our eGenix.com pyOpenSSL Distribution for Windows, Linux and Mac OS X to the available download options. These make setups using e.g. zc.buildout and other egg-file based installers a lot easier. ________________________________________________________________________ DOWNLOADS The download archives and instructions for installing the package can be found at: http://www.egenix.com/products/python/pyOpenSSL/ ________________________________________________________________________ UPGRADING Before installing this version of pyOpenSSL, please make sure that you uninstall any previously installed pyOpenSSL version. Otherwise, you could end up not using the included OpenSSL libs. _______________________________________________________________________ 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 the eGenix pyOpenSSL Distribution, 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, Mar 24 2015) >>> Python Projects, Coaching and Consulting ... http://www.egenix.com/ >>> mxODBC Plone/Zope Database Adapter ... http://zope.egenix.com/ >>> mxODBC, mxDateTime, mxTextTools ... http://python.egenix.com/ ________________________________________________________________________ 2015-03-12: Released mxODBC 3.3.2 ... http://egenix.com/go71 ::::: 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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Wingware Python IDE version 5.1.3 released
by Wingware March 23, 2015

March 23, 2015

Hi, Wingware has released version 5.1.3 of Wing IDE, our cross-platform integrated development environment for the Python programming language. Wing IDE features a professional code editor with vi, emacs, visual studio, and other key bindings, auto-completion, call tips, context-sensitive auto-editing, goto-definition, find uses, refactoring, a powerful debugger, version control, unit testing, search, project management, and many other features. This release includes the following improvements: Support running and debugging pytest unit tests Allow debugging Flask with auto-reload enabled Keep matplotlib plots active in Debug Probe also when using MacOSX backend Ability to send NUL and EOF to the shells and debug I/O Several improvements to snippets, auto-invocation, and recursive data entry Fix several problems in multi-process debugging Improved and optimized auto-conversion of indents on paste Fix scraping Python 3 extension modules Correct vi mode register behavior Fix auto-scrolling and text encoding in Debug I/O Improve debugging recursion limit exceptions About 30 other bug fixes and improvements For details see http://wingware.com/news/2015-03-20 and http://wingware.com/pub/wingide/5.1.3/CHANGELOG.txt What's New in Wing 5.1: Wing IDE 5.1 adds multi-process and child process debugging, syntax highlighting in the shells, support for pytest, persistent time-stamped unit test results, auto-conversion of indents on paste, an XCode keyboard personality, support for Flask, Django 1.7, and recent Google App Engine versions, improved auto-completion for PyQt, recursive snippet invocation, and many other minor features and improvements. Free trial: http://wingware.com/wingide/trial Downloads: http://wingware.com/downloads Feature list: http://wingware.com/wingide/features Sales: http://wingware.com/store/purchase Upgrades: https://wingware.com/store/upgrade Questions? Don't hesitate to email us at support(a)wingware.com. Thanks, -- Stephan Deibel Wingware | Python IDE The Intelligent Development Environment for Python Programmers wingware.com

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Reminder - Summer School "Advanced Scientific Programming in Python" in Munich, Germany
by Tiziano Zito March 23, 2015

March 23, 2015

Reminder: Deadline for application is 23:59 UTC, March 31, 2015. Advanced Scientific Programming in Python ========================================= a Summer School by the G-Node, the Bernstein Center for Computational Neuroscience Munich and the Graduate School of Systemic Neurosciences Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques, incorporating theoretical lectures and practical exercises tailored to the needs of a programming scientist. New skills will be tested in a real programming project: we will team up to develop an entertaining scientific computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or Mathematica is absolutely required. Basic knowledge of Python is assumed. Participants without any prior experience with Python should work through the proposed introductory materials before the course. Date and Location ================= August 31—September 5, 2015. Munich, Germany. Preliminary Program =================== Day 0 (Mon Aug 31) — Best Programming Practices • Best Practices for Scientific Computing • Version control with git and how to contribute to Open Source with github • Object-oriented programming & design patterns Day 1 (Tue Sept 1) — Software Carpentry • Test-driven development, unit testing & quality assurance • Debugging, profiling and benchmarking techniques • Advanced Python: generators, decorators, and context managers Day 2 (Wed Sept 2) — Scientific Tools for Python • Advanced NumPy • The Quest for Speed (intro): Interfacing to C with Cython • Contributing to Open Source Software/Programming in teams Day 3 (Thu Sept 3) — The Quest for Speed • Writing parallel applications in Python • Python 3: why should I care • Programming project Day 4 (Fri Sept 4) — Efficient Memory Management • When parallelization does not help: the starving CPUs problem • Programming project Day 5 (Sat Sept 5) — Practical Software Development • Programming project • The Pelita Tournament Every evening we will have the tutors' consultation hour: Tutors will answer your questions and give suggestions for your own projects. Applications ============ You can apply on-line at https://python.g-node.org Applications must be submitted before 23:59 UTC, March 31, 2015. Notifications of acceptance will be sent by May 1, 2015. No fee is charged but participants should take care of travel, living, and accommodation expenses. Candidates will be selected on the basis of their profile. Places are limited: acceptance rate is usually around 20%. Prerequisites: You are supposed to know the basics of Python to participate in the lectures Preliminary Faculty =================== • Pietro Berkes, Enthought Inc., UK • Marianne Corvellec, Plotly Technologies Inc., Montréal, Canada • Kathryn D. Huff, Department of Nuclear Engineering, University of California - Berkeley, USA • Zbigniew Jędrzejewski-Szmek, Krasnow Institute, George Mason University, USA • Eilif Muller, Blue Brain Project, École Polytechnique Fédérale de Lausanne, Switzerland • Juan Nunez-Iglesias, Victorian Life Sciences Computation Initiative, University of Melbourne, Australia • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany • Bartosz Teleńczuk, European Institute for Theoretical Neuroscience, CNRS, Paris, France • Nelle Varoquaux, Centre for Computational Biology Mines ParisTech, Institut Curie, U900 INSERM, Paris, France • Tiziano Zito, Forschungszentrum Jülich GmbH, Germany Organized by Tiziano Zito (head) and Zbigniew Jędrzejewski-Szmek for the German Neuroinformatics Node of the INCF Germany, Christopher Roppelt for the German Center for Vertigo and Balance Disorders (DSGZ) and the Graduate School of Systemic Neurosciences (GSN) of the Ludwig-Maximilians-Universität Munich Germany, Christoph Hartmann for the Frankfurt Institute for Advanced Studies (FIAS) and International Max Planck Research School (IMPRS) for Neural Circuits, Frankfurt Germany, and Jakob Jordan for the Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6), Jülich Research Centre and JARA. Additional funding provided by the Bernstein Center for Computational Neuroscience (BCCN) Munich. Website: https://python.g-node.org Contact: python-info(a)g-node.org

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ANN: pandas 0.16.0 released
by Jeff Reback March 23, 2015

March 23, 2015

Hello, We are proud to announce v0.16.0 of pandas, a major release from 0.15.2. This release includes a small number of API changes, several new features, enhancements, and performance improvements along with a large number of bug fixes. This was 4 months of work by 60 authors encompassing 204 issues. We recommend that all users upgrade to this version. *Highlights:* - - *DataFrame.assign* method, see here <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-enh…> - *Series.to_coo/from_coo* methods to interact with *scipy.sparse*, see here <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-enh…> - Backwards incompatible change to *Timedelta* to conform the *.seconds* attribute with *datetime.timedelta*, see here <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-api…> - Changes to the *.loc* slicing API to conform with the behavior of *.ix* see here <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-api…> - Changes to the default for ordering in the *Categorical* constructor, see here <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-api…> - Enhancement to the *.str* accessor to make string operations easier, see here <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#whatsnew-0160-enh…> - The *pandas.tools.rplot*, *pandas.sandbox.qtpandas* and *pandas.rpy* modules are deprecated. - We refer users to external packages like seaborn <http://stanford.edu/~mwaskom/software/seaborn/>, pandas-qt <https://github.com/datalyze-solutions/pandas-qt> and rpy2 <http://rpy.sourceforge.net/> for similar or equivalent functionality, see here for more detail <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#deprecations> See a full description of the Whatsnew for v0.16.0 <http://pandas.pydata.org/pandas-docs/stable/whatsnew.html> *What is it:* *pandas* is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. Documentation: http://pandas.pydata.org/pandas-docs/stable/ Source tarballs, windows wheels, macosx wheels are available on PyPI: https://pypi.python.org/pypi/pandas windows binaries are courtesy of Christoph Gohlke and are built on Numpy 1.9 macosx wheels are courtesy of Matthew Brett and are built on Numpy 1.7.1 Please report any issues here: https://github.com/pydata/pandas/issues Thanks The Pandas Development Team

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Updated: frigcal - A "Refrigerator"-Style Desktop GUI Calendar
by Mark Lutz March 23, 2015

March 23, 2015

The latest installment of frigcal is now available. Its main addition is more explicit error handling to make the system more user-friendly, and avoid silent shutdowns when used in non-console mode on Windows. It also skips all non-image files in its images folder, and has a new release structure that provides an unzipped content copy on the web. Screenshot: http://learning-python.com/frigcal/screenshots/000-latest-composite.png Main doc file: http://learning-python.com/frigcal/Readme-frigcal.html Download here: http://learning-python.com/downloads/frigcal.zip Unzipped content: http://learning-python.com/frigcal Latest changes: http://learning-python.com/frigcal/Readme-frigcal.html#release15 There's also a new package index at http://learning-python.com/downloads. Cheers, --M. Lutz (http://www.rmi.net/~lutz | http://learning-python.com)

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Updated: mergeall - Folder Synchronization for Manual "Clouds"
by Mark Lutz March 23, 2015

March 23, 2015

A new major release of mergeall has been posted. This version's main upgrade is automatic backup of items replaced or deleted by the merge, so that changes can be backed out from any target device if needed. It also adds a more dynamic GUI, summary reports, a script workaround for FAT DST rollovers, and a new unzipped content copy on the web. Screenshot: http://learning-python.com/mergeall/examples/Screenshots/main-quit-help.png Main doc file: http://learning-python.com/mergeall/docs/Usage-Overview.html Download here: http://learning-python.com/downloads/mergeall.zip Unzipped content: http://learning-python.com/mergeall Latest changes: http://learning-python.com/mergeall/Readme.html#version20 There's also a new package index at http://learning-python.com/downloads. Cheers, --M. Lutz (http://www.rmi.net/~lutz | http://learning-python.com)

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Python 2.7.x for Plan 9
by Jeff Sickel March 22, 2015

March 22, 2015

The following line is suggested as a addition to the Python Other Platforms page (https://www.python.org/download/other/): Jeff Sickel maintains a Python port for Plan 9 (https://bitbucket.org/jas/cpython).

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