Mailman 3 April 2014 - Python-announce-list

ANN: Bokeh 0.4.4 released
by Bryan Van de Ven 17 Apr '14

17 Apr '14

I am happy to announce the release of Bokeh version 0.4.4! Bokeh is a Python library for visualizing large and realtime datasets on the web. Its goal is to provide elegant, concise construction of novel graphics in the style of Protovis/D3, while delivering high-performance interactivity to thin clients. Bokeh includes its own Javascript library (BokehJS) that implements a reactive scenegraph representation of the plot, and renders efficiently to HTML5 Canvas. Bokeh works well with IPython Notebook, but can generate standalone graphics that embed into regular HTML. If you are a Matplotlib user, you can just use %bokeh magic to start interacting with your plots in the notebook immediately! Check out the full documentation, interactive gallery, and tutorial at http://bokeh.pydata.org If you are using Anaconda, you can install with conda: conda install bokeh Alternatively, you can install with pip: pip install bokeh We are still working on some bigger features but want to get new fixes and functionality out to users as soon as we can. Some notable features of this release are: * Additional Matplotlib, ggplot, and Seaborn compatibility (styling, more examples) * TravisCI testing integration at https://travis-ci.org/ContinuumIO/bokeh * Tool enhancements, constrained pan/zoom, more hover glyphs * Server remote data and downsampling examples * Initial work for Bokeh "app" concept Also, we've also made lots of little bug fixes and enhancements - see the CHANGELOG for full details. BokehJS is also available by CDN for use in standalone javascript applications: http://cdn.pydata.org/bokeh-0.4.4.js http://cdn.pydata.org/bokeh-0.4.4.css http://cdn.pydata.org/bokeh-0.4.4.min.js http://cdn.pydata.org/bokeh-0.4.4.min.css Some examples of BokehJS use can be found on the Bokeh JSFiddle page: http://jsfiddle.net/user/bokeh/fiddles/ The release of Bokeh 0.5 is planned for early May. Some notable features we plan to include are: * Abstract Rendering for semantically meaningful downsampling of large datasets * Better grid-based layout system, using Cassowary.js * More MPL/Seaborn/ggplot.py compatibility and examples, using MPLExporter * Additional tools, improved interactions, and better plot frame * Touch support Issues, enhancement requests, and pull requests can be made on the Bokeh Github page: https://github.com/continuumio/bokeh Questions can be directed to the Bokeh mailing list: bokeh(a)continuum.io If you have interest in helping to develop Bokeh, please get involved! Special thanks to recent contributors: Amy Troschinetz and Gerald Dalley Bryan Van de Ven Continuum Analytics http://continuum.io

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Crochet 1.2.0 - Use Twisted Anywhere!
by Itamar Turner-Trauring 14 Apr '14

14 Apr '14

Crochet is an MIT-licensed library that makes it easier to use Twisted from regular blocking code. Some use cases include: * Easily use Twisted from a blocking framework like Django or Flask. * Write a library that provides a blocking API, but uses Twisted for its implementation. * Port blocking code to Twisted more easily, by keeping a backwards compatibility layer. * Allow normal Twisted programs that use threads to interact with Twisted more cleanly from their threaded parts. For example this can be useful when using Twisted as a WSGI container. New in this release: * crochet.wait_for implements the timeout/cancellation pattern documented in previous versions of Crochet. * Functions wrapped with wait_for and run_in_reactor can now be accessed via the wrapped_function attribute, to ease unit testing of the underlying Twisted code. * Bug fixes, documentation improvements and more - for a full list see the Crochet can be downloaded from https://pypi.python.org/pypi/crochet [1] Documentation can be found at http://crochet.readthedocs.org [2] Bugs and feature requests should be filed at the project https://github.com/itamarst/crochet [3] Here's an example of a program using Crochet. Notice that you get a completely blocking interface to Twisted and do not need to run the Twisted reactor, the event loop, yourself. #!/usr/bin/python """ Do a DNS lookup using Twisted's APIs. """ from __future__ import print_function # The Twisted code we'll be using: from twisted.names import client from crochet import setup, wait_for setup() # Crochet layer, wrapping Twisted's DNS library in a blocking call. @wait_for(timeout=5.0) def gethostbyname(name): """Lookup the IP of a given hostname. Unlike socket.gethostbyname() which can take an arbitrary amount of time to finish, this function will raise crochet.TimeoutError if more than 5 seconds elapse without an answer being received. """ d = client.lookupAddress(name) d.addCallback(lambda result: result[0][0].payload.dottedQuad()) return d if __name__ == '__main__': # Application code using the public API - notice it works in a normal # blocking manner, with no event loop visible: import sys name = sys.argv[1] ip = gethostbyname(name) print(name, "->", ip) Run on the command line: > $ python blockingdns.py twistedmatrix.com > twistedmatrix.com -> 66.35.39.66 Links: ------ [1] https://pypi.python.org/pypi/crochet [2] https://crochet.readthedocs.org/ [3] https://github.com/itamarst/crochet

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ANN: numexpr 2.4 is out
by Francesc Alted 14 Apr '14

14 Apr '14

======================== Announcing Numexpr 2.4 ======================== 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 MKL (Math Kernel Library), 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. Look here for a some benchmarks of numexpr using MKL: https://github.com/pydata/numexpr/wiki/NumexprMKL Its only dependency is NumPy (MKL is optional), so it works well as an easy-to-deploy, easy-to-use, computational engine for projects that don't want to adopt other solutions requiring more heavy dependencies. What's new ========== A new `contains()` function has been added for detecting substrings in strings. Only plain strings (bytes) are supported for now (see ticket #142). Thanks to Marcin Krol. You can have a glimpse on how `contains()` works in this notebook: http://nbviewer.ipython.org/gist/FrancescAlted/10595974 where it can be seen that this can make substring searches more than 10x faster than with regular Python. You can find the source for the notebook here: https://github.com/FrancescAlted/ngrams Also, there is a new version of setup.py that allows better management of the NumPy dependency during pip installs. Thanks to Aleks Bunin. Windows related bugs have been addressed and (hopefully) squashed. Thanks to Christoph Gohlke. In case you want to know more in detail what has changed in this version, see: https://github.com/pydata/numexpr/wiki/Release-Notes or have a look at RELEASE_NOTES.txt in the tarball. Where I can find Numexpr? ========================= The project is hosted at GitHub in: https://github.com/pydata/numexpr You can get the packages from PyPI as well (but not for RC releases): 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 -- Francesc Alted

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Calico Scheme in Python
by Doug Blank 14 Apr '14

14 Apr '14

We are writing to let you know of a recent spin-off from our Scheme implementation work: we now have a version implemented in Python. This is a full Scheme with proper tail-call recursion handling written in Python. We also added some interesting Python-Scheme interactions: * Scheme can use Python functions and libraries * You can define Scheme functions for use in Python * Python's list class serves the role for Scheme's vector class Some sample uses: You can just use calicoscheme.py as a script in Python, IronPython, or Jython: $ python calicoscheme.py Calico Scheme, version 3.0.0 ---------------------------- Use (exit) to exit ==> (+ 1 1) 2 This environment has access to Python's built-ins through calicoscheme.ENVIRONMENT: ==> (sum '(1 2 3)) sum is found in the Python environment. You can also import and use Python libraries directly: ==> (using "math" "numpy") (math numpy) ==> (math.sin 3.14) 0.0015926529164868282 ==> (numpy.array 10) array(100) ==> (exit) # or control+d You can also use calicoscheme inside Python: $ python >>> import calicoscheme >>> calicoscheme.ENVIRONMENT = globals() # set the environment to the locals here >>> calicoscheme.start_rm() ==> (+ 1 1) 2 ==> (define! f (lambda (n) (+ n 1))) ### define! puts it in the external env ==> (exit) goodbye And back in Python you can call the define! function using Scheme's infrastructure: >>> f(100) 101 You can also call into Scheme like so: >>> calicoscheme.execute_string_rm("(define x 23)") <void> >>> calicoscheme.execute_string_rm("x") 23 To download and get more information, please see: http://calicoproject.org/Calico_Scheme

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ANN: Bookmarks v1.0
by Iñigo Serna 13 Apr '14

13 Apr '14

Hi there, Bookmarks is a simple personal web-based application to manage web bookmarks. It's written in Python 3.2+ and uses BottlePy web microframework and jQuery javascript library. Both are included with the package. It was coded as a funny practice, but it includes some nice features: advanced search, tags cloud, years cloud. I think this little application can be useful for anyone learning Python web programming. It's under GNU Affero GPL License version 3 or later. More information, and download link at: - [main] https://inigo.katxi.org/devel/bookmarks - [code repository] https://bitbucket.org/inigoserna/bookmarks Of course, all comments, suggestions etc. are welcome. Best regards, Iñigo Serna

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SQLObject 1.5.2
by Oleg Broytman 13 Apr '14

13 Apr '14

Hello! I'm pleased to announce version 1.5.2, the second bugfix release of branch 1.5 of SQLObject. What's new in SQLObject ======================= * Adapt duplicate error message strings for SQLite 3.8. Contributor for this release is Neil Muller. For a more complete list, please see the news: http://sqlobject.org/News.html What is SQLObject ================= SQLObject is an object-relational mapper. Your database tables are described as classes, and rows are instances of those classes. SQLObject is meant to be easy to use and quick to get started with. SQLObject supports a number of backends: MySQL, PostgreSQL, SQLite, Firebird, Sybase, MSSQL and MaxDB (also known as SAPDB). Where is SQLObject ================== Site: http://sqlobject.org Development: http://sqlobject.org/devel/ Mailing list: https://lists.sourceforge.net/mailman/listinfo/sqlobject-discuss Archives: http://news.gmane.org/gmane.comp.python.sqlobject Download: https://pypi.python.org/pypi/SQLObject/1.5.2 News and changes: http://sqlobject.org/News.html Oleg. -- Oleg Broytman http://phdru.name/ phd(a)phdru.name Programmers don't die, they just GOSUB without RETURN.

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ANN: MyNewspaper v4.0
by Iñigo Serna 13 Apr '14

13 Apr '14

Hi there, I'm really pleased to announce a new release of MyNewspaper, a web-based personal ATOM/RSS aggregator and feeds reader. This new version has been completely rewritten from scratch. It's under GNU Affero GPL License version 3 or later. Some technical points of interest: - written in Python 3.2+ - backend based on BottlePy web micro framework, FeedParser, SQLite, DateUtil - frontend with javascript (jQuery, jQueryUI) More information, and download link at: - [main] https://inigo.katxi.org/devel/mynewspaper - [code repository] https://bitbucket.org/inigoserna/mynewspaper4 BLURB: MyNewspaper can be considered an old project, as first version dates from 2005, and since then it has adopted and adapted different web paradigms: CGI running on a web server in v1.0, pure web app in v2.0, javascript and AJAX for v3.0. A couple of years after v3.0 release I abandoned it to join Google Reader wave, but since the announce of its shutdown I turned to MyNewspaper as I didn't like any of the alternatives. Thus I rewrote from scratch all the code. It was fast, I had a working version in a month, many weeks before Google Reader closed, but then it took about 10 months more to write the documentation… Anyway, this is now version 4.0, a very fast and nice web-based feeds reader for personal use. Of course, all comments, suggestions etc. are welcome. Best regards, Iñigo Serna

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ANN: pyftpdlib 1.3.1 released
by Giampaolo Rodola' 11 Apr '14

11 Apr '14

Hello, I'm pleased to announce release 1.3.1 of Python FTP Server library (pyftpdlib). http://code.google.com/p/pyftpdlib/ === About === Python FTP server library provides an high-level portable interface to easily write very fast asynchronous FTP/S servers with Python. === Changes === - #282: async IO loop now uses /dev/poll on Solaris (far more scalable than poll()) - #262: FTPS is now able to load a certificate chain file. - #277: added a make file for running tests and for other repetitive tasks (also for Windows). - #281: source tarballs are now hosted on PYPI to make "pip install pyftpdlib" easier. - #283: fixed a pretty annoying logging-related issue. - #261: (FTPS) SSL shutdown() was broken on Windows. === Links === * Online docs: http://code.google.com/p/pyftpdlib/wiki/Tutorial * FAQs: http://code.google.com/p/pyftpdlib/wiki/FAQ * Issue tracker: http://code.google.com/p/pyftpdlib/issues/list -- Giampaolo - http://grodola.blogspot.com

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ANN: eGenix pyOpenSSL Distribution 0.13.3.1.0.1.7
by eGenix Team: M.-A. Lemburg 10 Apr '14

10 Apr '14

________________________________________________________________________ ANNOUNCING eGenix.com pyOpenSSL Distribution Version 0.13.3.1.0.1.7 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-0.13.3.1.0… ________________________________________________________________________ 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 updates only the included OpenSSL version to address a serious bug in OpenSSL 1.0.1 versions: New in OpenSSL -------------- * Updated included OpenSSL libraries from OpenSSL 1.0.1e to 1.0.1f. See http://www.openssl.org/news/news.html and http://www.openssl.org/news/vulnerabilities.html for a complete list of changes, most important: - CVE-2014-0160 ("Heartbleed Bug"): A missing bounds check in the handling of the TLS heartbeat extension can be used to reveal up to 64kB of memory to a connected client or server. This issue did not affect versions of OpenSSL prior to 1.0.1. For information, also have a look at the Heartbeet Bug website: http://heartbleed.com/ As always, we provide binaries that include both pyOpenSSL and the necessary OpenSSL libraries for all supported platforms: Windows x86 and x64, Linux x86 and x64, Mac OS X PPC, x86 and x64. We've 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 >>> Python/Zope Consulting and Support ... http://www.egenix.com/ >>> mxODBC.Zope.Database.Adapter ... http://zope.egenix.com/ >>> mxODBC, mxDateTime, mxTextTools ... http://python.egenix.com/ ________________________________________________________________________ ::: Try our new 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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PyCon Russia 2014
by Екатерина Шулындина 10 Apr '14

10 Apr '14

Hello, Great news: June 2-3 in Yekaterinburg will be the second conference PyCon Russia 2014. Conference website: http://pycon.ru/2014/en/ -- Ekaterina Shulyndina it-people.ru +7 909 004 74 84

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