Mailman 3 September 2015 - Python-announce-list

bcolz 0.11.0 released!
by Francesc Alted 09 Sep '15

09 Sep '15

======================= Announcing bcolz 0.11.0 ======================= What's new ========== Although this is mostly a maintenance release that fixes some bugs, the setup.py is enterily based now in setuptools and has been greatly modernized to use a new versioning system. Just this deserves a bump in the minor version. Thanks to Gabi Davar (@mindw) for such a nice improvement. Also, many improvements in the Continuous Integration part (and hence not directly visible to users) have been made by Francesc Elies (@FrancescElies). Thanks for his quiet but effective work. And last but not least, I would like to announce that Valentin Haenel (@esc) just stepped down as release manager. Thanks Valentin for all the hard work that you put in making bcolz a better piece of software! What it is ========== *bcolz* provides columnar and compressed data containers that can live either on-disk or in-memory. Column storage allows for efficiently querying tables with a large number of columns. It also allows for cheap addition and removal of column. In addition, bcolz objects are compressed by default for reducing memory/disk I/O needs. The compression process is carried out internally by Blosc, an extremely fast meta-compressor that is optimized for binary data. Lastly, high-performance iterators (like ``iter()``, ``where()``) for querying the objects are provided. bcolz can use numexpr internally so as to accelerate many vector and query operations (although it can use pure NumPy for doing so too). numexpr optimizes the memory usage and use several cores for doing the computations, so it is blazing fast. Moreover, since the carray/ctable containers can be disk-based, and it is possible to use them for seamlessly performing out-of-memory computations. bcolz has minimal dependencies (NumPy), comes with an exhaustive test suite and fully supports both 32-bit and 64-bit platforms. Also, it is typically tested on both UNIX and Windows operating systems. Together, bcolz and the Blosc compressor, are finally fulfilling the promise of accelerating memory I/O, at least for some real scenarios: http://nbviewer.ipython.org/github/Blosc/movielens-bench/blob/master/queryi… Other users of bcolz are Visualfabriq (http://www.visualfabriq.com/) the Blaze project (http://blaze.pydata.org/), Quantopian (https://www.quantopian.com/) and Scikit-Allel (https://github.com/cggh/scikit-allel) which you can read more about by pointing your browser at the links below. * Visualfabriq: * *bquery*, A query and aggregation framework for Bcolz: * https://github.com/visualfabriq/bquery * Blaze: * Notebooks showing Blaze + Pandas + BColz interaction: * http://nbviewer.ipython.org/url/blaze.pydata.org/notebooks/timings-csv.ipynb * http://nbviewer.ipython.org/url/blaze.pydata.org/notebooks/timings-bcolz.ip… * Quantopian: * Using compressed data containers for faster backtesting at scale: * https://quantopian.github.io/talks/NeedForSpeed/slides.html * Scikit-Allel * Provides an alternative backend to work with compressed arrays * https://scikit-allel.readthedocs.org/en/latest/bcolz.html Installing ========== bcolz is in the PyPI repository, so installing it is easy:: $ pip install -U bcolz Resources ========= Visit the main bcolz site repository at: http://github.com/Blosc/bcolz Manual: http://bcolz.blosc.org Home of Blosc compressor: http://blosc.org User's mail list: bcolz(a)googlegroups.com http://groups.google.com/group/bcolz License is the new BSD: https://github.com/Blosc/bcolz/blob/master/LICENSES/BCOLZ.txt Release notes can be found in the Git repository: https://github.com/Blosc/bcolz/blob/master/RELEASE_NOTES.rst ---- **Enjoy data!** -- Francesc Alted

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[RELEASED] Python 3.5.0rc4 is now available!
by Larry Hastings 09 Sep '15

09 Sep '15

On behalf of the Python development community and the Python 3.5 release team, I'm surprised to announce the availability of Python 3.5.0rc4, also known as Python 3.5.0 Release Candidate 4. Python 3.5.0 Release Candidate 3 was only released about a day ago. However: during testing, a major regression was discovered, reported on the issue tracker as #25027: http://bugs.python.org/issue25027 Python 3.5 includes some big changes on how Python is built on Windows. One of those changes resulted in Python processes on Windows exceeding the maximum number of loadable shared libraries. As a result Windows builds of Python could no longer run major Python software stacks like Pandas and Jupyter. Fixing this required non-trivial last-minute changes to the Windows build--and those changes need testing. We therefore elected to insert an extra release candidate before the final release, to get these changes into your hands as soon as possible, so that Windows users could test these changes. As with all other Python 3.5 releases to date, this is a preview release, and its use is not recommended for production settings. However, users are encouraged to test with Python 3.5.0rc4, /especially/ Windows users who build or make use of numerous external packages. (Non-Windows users will find little difference between Python 3.5.0rc3 and Python 3.5.0rc4.) You can find Python 3.5.0rc4 here: https://www.python.org/downloads/release/python-350rc4/ Windows and Mac users: please read the important platform-specific "Notes on this release" section near the end of that page. Please kick the tires, //arry/ p.s. Special thanks from the Python 3.5 release team to Christoph Gohlke for the bug report!

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[RELEASED] Python 3.5.0rc3 is now available
by Larry Hastings 08 Sep '15

08 Sep '15

On behalf of the Python development community and the Python 3.5 release team, I'm relieved to announce the availability of Python 3.5.0rc3, also known as Python 3.5.0 Release Candidate 3. The next release of Python 3.5 will be Python 3.5.0 final. There should be few (or no) changes to Python 3.5 between rc3 and final. This is a preview release, and its use is not recommended for production settings. You can find Python 3.5.0rc3 here: https://www.python.org/downloads/release/python-350rc3/ Windows and Mac users: please read the important platform-specific "Notes on this release" section near the end of that page. Happy hacking, //arry/

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ANN Nanpy 0.9.5 - Use your Arduino with Python
by Andrea Stagi 06 Sep '15

06 Sep '15

Hi, I'm happy to announce Nanpy 0.9.5 release. https://pypi.python.org/pypi/nanpy/0.9.5 This release includes some bug fixing and Adafruit TLC5947 24-Channel PWM Driver support. I don't think to continue developing Nanpy and adding modules to the core by myself, so if you want to extend Nanpy please read this guide: http://nanpy.github.io/#how-to-extend-nanpy If you want to know how to start using Nanpy read this http://nanpy .github.io/ With Nanpy you can easily use your Arduino board writing Python code from any device and you can build awesome things like an old RC car now powered by Raspberry Pi and Arduino and controlled via Android ( https://www.youtube.com/watch?v=iepyMyFNtjk https://github.com/chickenfootcar), Smart Gardening ( https://www.youtube.com/watch?v=n6hN1xkelKA), Minecraft Altimeter (*https://www.youtube.com/watch?v=51Ei9n_2sLY <https://www.youtube.com/watch?v=51Ei9n_2sLY>* https://github.com/DjangoBeer/minecraftpi-hack/tree/master/altimeter). Our "Hello World": a = ArduinoApi() a.pinMode(13, a.OUTPUT) a.digitalWrite(13, a.HIGH) We support OneWire, Lcd, Stepper, Servo, DallasTemperature and many more libraries… Let’s try to connect our 16x2 lcd screen on pins 7, 8, 9, 10, 11, 12 and show your first “Hello world”! from nanpy import Lcd lcd = Lcd([7, 8, 9, 10, 11, 12], [16, 2]) lcd.printString('Hello World!') Nanpy is an open source project, you can follow our work on Github https://github.com/nanpy -- Andrea Stagi (@4stagi) - Develover @Nephila Job profile: http://linkedin.com/in/andreastagi Website: http://4spills.blogspot.it/ Github: http://github.com/astagi

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PyCA cryptography 1.0.1 released
by Paul Kehrer 06 Sep '15

06 Sep '15

PyCA cryptography (https://github.com/pyca/cryptography) 1.0.1 has been released! cryptography is a package which provides cryptographic recipes and primitives to Python developers. Our goal is for it to be your "cryptographic standard library". We support Python 2.6-2.7, Python 3.3+, and PyPy 2.6+. Changelog (https://cryptography.io/en/latest/changelog/) * We now ship OS X wheels that statically link OpenSSL by default. When installing a wheel on OS X 10.10+ (and using a Python compiled against the 10.10 SDK) users will no longer need to compile. * Set the default string mask to UTF-8 in the OpenSSL backend to resolve character encoding issues with older versions of OpenSSL. * Several new OpenSSL bindings have been added to support a future pyOpenSSL release. * Raise an error during install on PyPy < 2.6. 1.0+ requires PyPy 2.6+. Thanks to all the contributors who helped on this release, especially around infrastructure to support the new wheels. -Paul Kehrer (reaperhulk)

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Twisted 15.4.0 Release Announcement
by Amber "Hawkie" Brown 05 Sep '15

05 Sep '15

On behalf of Twisted Matrix Laboratories, I am honoured to announce the release of Twisted 15.4, codenamed "Trial By Fire". Twisted is continuing to forge ahead, with the highlights of this release being: - twisted.positioning, the rest of twisted.internet.endpoints, KQueueReactor (for real this time), and twisted.web.proxy/guard have all been ported to Python 3. - Trial has been ported to Python 3! This was made possible by a Python Software Foundation grant. - Twisted officially supports several more platforms: Py3.4 on FreeBSD, Py2.7/Py3.4 on Fedora 21/22, and Py2.7 on RHEL7. - Python 2.6 is no longer supported, and support for Debian 6, and RHEL6 has been removed because of this. - Support for the EOL'd platforms of Fedora 17/18/19 has been removed. - Twisted has moved to requiring setuptools for installation. - twisted.python.failure.Failure's __repr__ now includes the exception message. - 19 tickets in total closed! You can find the downloads at https://pypi.python.org/pypi/Twisted (or alternatively http://twistedmatrix.com/trac/wiki/Downloads). The NEWS file can be found at https://github.com/twisted/twisted/blob/trunk/NEWS . Many thanks to everyone who had a part in this release - the supporters of the Twisted Software Foundation, the developers who contributed code as well as documentation, and all the people building great things with Twisted! Amber "Hawkie" Brown GPG: https://keybase.io/hawkowl hawkowl(a)atleastfornow.net

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Nikola v7.7.0 is out!
by Roberto Alsina 03 Sep '15

03 Sep '15

On behalf of the Nikola team, I am pleased to announce the immediate availability of Nikola v7.7.0. It fixes some bugs and adds new features. What is Nikola? =============== Nikola is a static site and blog generator, written in Python. It can use Mako and Jinja2 templates, and input in many popular markup formats, such as reStructuredText and Markdown — and can even turn Jupyter (IPython) Notebooks into blog posts! It also supports image galleries, and is multilingual. Nikola is flexible, and page builds are extremely fast, courtesy of doit (which is rebuilding only what has been changed). Find out more at the website: https://getnikola.com/ Key Changes since v7.6.4 ======================== * [Sections](https://getnikola.com/blog/new-feature-in-nikola-sections.html) by Daniel Aleksandersen * Author pages by Juanjo Conti Downloads ========= Install using `pip install Nikola` or download tarballs on [GitHub][] and [PyPI][]. [GitHub]: https://github.com/getnikola/nikola/releases/tag/v7.7.0 [PyPI]: https://pypi.python.org/pypi/Nikola/7.7.0 Changes ======= Features -------- * New support for online CSS and JS minifying services (Issue #1999) * Make <base> tag optional with USE_BASE_TAG flag (Issue #1985) * Render author pages (Issue #1972) * Atom feeds for tag lists (Issue #1686) * New ``THEME_COLOR`` option for customizing themes from a primary color (Issue #1980) * New ``color_hsl_adjust_hex`` and ``colorize_str_from_base_color`` functions available in themes (Issue #1980) * New ``POSTS`` output subfolders now generate sections by deault (Issue #1980) * New ``POSTS_SECTIONS`` and ``POSTS_SECTION_*`` options for configuring the section pages (Issue #1980) * For themers: Each ``post`` are now asssociated with section_color, section_link, and section_name (Issue #1980) * Each new section page has a auto-assigned color based on shifting the hue of ``THEME_COLOR`` based on a hash of the section name, can be overwritten with ``POSTS_SECTION_COLORS`` option (Issue #1980) * New ``TAG_PAGES_TITLES`` and ``CATEGORY_PAGES_TITLES`` options (Issue #1962) * Add Bosnian and Serbian (Latin) languages, by Saša Savić [bs, sr_latin] * Add Portuguese (Portugal) language, by jamatos [pt] Bugfixes -------- * Make nikola tabcompletion work outside sites (Issue #1983) * Fix display of categories list in bootstrap theme (Issue #2002) * If webassets is not installed, use unbundled assets (Issue #1992) * Check links in Atom and sitemap files (Issue #1993) * Link checker should check all absolute URLs to self (Issue #1991) * Check ``img|source[@srcset]`` as part of ``check -l`` (Issue #1989) * Clean up translations for third party components * ``pagekind["main_index"]`` set on the main indexes to differentiate them from all the other indexes. * Add dependency on metadata file for 2-file posts (Issue #1968) * Set UTF-8 charset in Content-Type or text/* and *+xml (Issue #1966)

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ANN: WordSegment 0.5.2 Released
by Grant Jenks 02 Sep '15

02 Sep '15

Announcing the Release of WordSegment Version 0.5.2 What is WordSegment? ------------------------- WordSegment is an Apache2 licensed module for English word segmentation, written in pure-Python, and based on a trillion-word corpus. Based on code from the chapter “Natural Language Corpus Data” by Peter Norvig from the book “Beautiful Data” (Segaran and Hammerbacher, 2009). Data files are derived from the Google Web Trillion Word Corpus. It's implemented in pure-Python with 100% code coverage and complete documentation. What's new in 0.5.2? -------------------- - Updated documentation with tutorial and API reference. - Removed unigrams longer than 24 characters. - Bug Fix: Converted all bigrams to lowercase. - Bug Fix: Sanitize input text by lowercasing and removing non-alphanumerics. - Replaced "memoize" decorator with local memo-dict for server use. Links ----- - Documentation: http://www.grantjenks.com/docs/wordsegment/ - Download: https://pypi.python.org/pypi/wordsegment - Source: https://github.com/grantjenks/wordsegment - Issues: https://github.com/grantjenks/wordsegment/issues This release is backwards-compatible. Please upgrade.

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ANN: psutil 3.2.0 released
by Giampaolo Rodola' 02 Sep '15

02 Sep '15

Hello all, I'm glad to announce the release of psutil 3.2.0: https://github.com/giampaolo/psutil/ About ===== psutil (python system and process utilities) is a cross-platform library for retrieving information on running processes and system utilization (CPU, memory, disks, network) in Python. It is useful mainly for system monitoring, profiling and limiting process resources and management of running processes. It implements many functionalities offered by command line tools such as: ps, top, lsof, netstat, ifconfig, who, df, kill, free, nice, ionice, iostat, iotop, uptime, pidof, tty, taskset, pmap. It currently supports Linux, Windows, OSX, FreeBSD and Sun Solaris, both 32-bit and 64-bit architectures, with Python versions from 2.6 to 3.5 (users of Python 2.4 and 2.5 may use 2.1.3 version). PyPy is also known to work. Main features / fixes =============== - [Windows] added support for CTRL_C_EVENT and CTRL_BREAK_EVENT signals to use with Process.send_signal(). - net_if_addrs() now returns point-to-point (VPNs) addresses. - continuous tests integration for OSX - different issues regarding unicode handling have been fixed Links ==== - Home page: https://github.com/giampaolo/psutil - Downloads: https://pypi.python.org/pypi?:action=display&name=psutil#downloads - Documentation: http://pythonhosted.org/psutil/ -- Giampaolo - http://grodola.blogspot.com

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ANN Python jQuery Plugin Boilerplate generator
by Andrea Stagi 02 Sep '15

02 Sep '15

Hi, I've finally released the jQuery Plugin Boilerplate generator used internally at Nephila, a python script to generate boilerplate code to crete a jQuery plugin. You can find the source code on Github https://github.com/nephila/jquerypluginbp To install it just type pip install jquerypluginbp Run jquerypluginbp with the path your plugin.json manifest file $ jquerypluginbp yourmanifest.plugin.json You can also specify the destination path $ jquerypluginbp yourmanifest.plugin.json -d destination_path A real life example of manifest file: { "name": "vimeoplaylist", "title": "jQuery Vimeo Playlist Plugin", "description": "jQuery plugin for creating your playlists with Vimeo.", "keywords": [ "vimeo", "playlist", "video" ], "version": "0.2.0", "author": { "name": "Nephila" }, "maintainers": [ { "name": "Andrea Stagi", "email": "stagi.andrea(a)gmail.com", "url": "http://github.com/astagi" } ], "licenses": [ { "type": "MIT", "url": " https://github.com/nephila/jquery-vimeoplaylist/blob/master/LICENSE" } ], "bugs": "https://github.com/nephila/jquery-vimeoplaylist/issues", "homepage": "https://github.com/nephila/jquery-vimeoplaylist", "download": "https://github.com/nephila/jquery-vimeoplaylist", "dependencies": { "jquery": ">=1.7" } } -- Andrea Stagi (@4stagi) - Develover @Nephila Job profile: http://linkedin.com/in/andreastagi Website: http://4spills.blogspot.it/ Github: http://github.com/astagi

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