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    <link>https://github.com/spotify/luigi</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
(see also ruffus, make etc)]]></description>
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]]></description>
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    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Nikola is a Static Site and Blog Generator
In goes content, out comes a website, ready to deploy.

Why Static Websites?

Static websites are safer, use fewer resources, and avoid vendor and platform lock-in. You can read more about this in the Nikola Handbook. or see what people are saying about Nikola right now.]]></description>
<dc:subject>python restructuredtext blog html</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:1f69402a86d8/</dc:identifier>
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</item>
<item rdf:about="http://pythonhosted.org/fs/">
    <title>Welcome to PyFilesystem’s documentation! — PyFilesystem v0.4.0 documentation</title>
    <dc:date>2013-08-26T17:39:09+00:00</dc:date>
    <link>http://pythonhosted.org/fs/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[unified, EZ FS interface to real filesystems and many FS-like objects such as zip files and the whole internet.]]></description>
<dc:subject>python fs opensource</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:28590904f8c0/</dc:identifier>
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</item>
<item rdf:about="http://hyde.github.io/">
    <title>Overview</title>
    <dc:date>2013-08-26T17:37:15+00:00</dc:date>
    <link>http://hyde.github.io/</link>
    <dc:creator>howthebodyworks</dc:creator><dc:subject>python html blog opensource django</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:c13b2a1fb4c6/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:django"/>
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</item>
<item rdf:about="http://pygstdocs.berlios.de/pygst-tutorial/introduction.html">
    <title>gstreamer</title>
    <dc:date>2013-08-15T09:53:52+00:00</dc:date>
    <link>http://pygstdocs.berlios.de/pygst-tutorial/introduction.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[rich audio file access from inside python, includeing MP3s and all that guff.]]></description>
<dc:subject>python media numpy dsp convert codec</dc:subject>
<dc:source>https://instapaper.com/</dc:source>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:f4750bb64725/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:codec"/>
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</item>
<item rdf:about="http://bmcfee.github.io/librosa/">
    <title>Core methods — librosa 0.1.0 documentation</title>
    <dc:date>2013-08-15T03:39:25+00:00</dc:date>
    <link>http://bmcfee.github.io/librosa/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[audio processing for numpy with serious dsp heavy lifting and audio analysts. a port of some matlab toolkit apparently]]></description>
<dc:subject>compsci python dsp Mir numpy</dc:subject>
<dc:source>https://instapaper.com/</dc:source>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:900905f27646/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:Mir"/>
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</item>
<item rdf:about="http://mpastell.com/pweave/#">
    <title>About Pweave — Pweave - reports from data with Python</title>
    <dc:date>2013-05-02T07:59:04+00:00</dc:date>
    <link>http://mpastell.com/pweave/#</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Rweave-like report generation for python science using a literate programming style]]></description>
<dc:subject>python restructuredtext latex reporting matplotlib</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:8d0297c02786/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:matplotlib"/>
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</item>
<item rdf:about="https://code.google.com/p/numexpr/">
    <title>numexpr - Fast numerical array expression evaluator for Python and NumPy. - Google Project Hosting</title>
    <dc:date>2013-05-02T07:57:32+00:00</dc:date>
    <link>https://code.google.com/p/numexpr/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[What It Is The numexpr package evaluates multiple-operator array expressions many times faster than NumPy can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it on the fly into code for its internal virtual machine (VM). Due to its integrated just-in-time (JIT) compiler, it does not require a compiler at runtime. Also,numexpr implements support for multi-threading computations straight into its internal virtual machine, written in C. This allows to bypass the GIL in Python, and allows near-optimal parallel performance in your vector expressions, most specially on CPU-bounded operations (memory-bounded ones were already the strong point of numexpr). See MultiThreadVM for more info on this.]]></description>
<dc:subject>python performance numpy</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:49c445677fb3/</dc:identifier>
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<item rdf:about="https://code.google.com/p/funcparserlib/">
    <title>funcparserlib - Recursive descent parsing library for Python based on functional combinators - Google Project Hosting</title>
    <dc:date>2013-05-02T07:56:16+00:00</dc:date>
    <link>https://code.google.com/p/funcparserlib/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Parsers made with funcparserlib are pure-Python LL(*) parsers. It means that it's very easy to write them without thinking about look-aheads and all that hardcore parsing stuff. But the recursive descent parsing is a rather slow method compared to LL(k) or LR(k) algorithms. So the primary domain for funcparserlib is parsing little languages or external DSLs (domain specific languages). The library itself is very small. Its source code is only 0.5 KLOC, with lots of comments included. It features the longest parsed prefix error reporting, as well as a tiny lexer generator for token position tracking.]]></description>
<dc:subject>python parser</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:f3dc6edf949f/</dc:identifier>
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<item rdf:about="http://yihui.name/knitr/">
    <title>knitr: Elegant, flexible and fast dynamic report generation with R | knitr</title>
    <dc:date>2013-04-24T10:26:38+00:00</dc:date>
    <link>http://yihui.name/knitr/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[successor to sweave in that it integrates R an LaTeX, but aims to be a more extensible superset, integrating python, HTML, markdown, restructuredtext...]]></description>
<dc:subject>python restructuredtext r latex</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:26a182b18ac8/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:r"/>
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</item>
<item rdf:about="http://bitly.github.com/forgettable/">
    <title>http://bitly.github.com/forgettable/</title>
    <dc:date>2013-04-01T16:19:01+00:00</dc:date>
    <link>http://bitly.github.com/forgettable/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Forget-Table is a database for storing non-stationary categorical distributions that forget old observations responsibly. It has been designed to store millions of distributions and can be written to at a high volume. "Forgetting" from a distribution is done by simulating a Poisson process with a user-specified rate. This results in equalizing all bins in a distribution such that, if no new observations are added in, the distribution will approach uniform.]]></description>
<dc:subject>python redis go statistics</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:571f727e6371/</dc:identifier>
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<item rdf:about="http://mnemosyne-proj.org/">
    <title>Welcome to the Mnemosyne Project | The Mnemosyne Project</title>
    <dc:date>2013-03-19T18:20:57+00:00</dc:date>
    <link>http://mnemosyne-proj.org/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[memorisation for browser and desktop, powered by python. Can incorporate latex.]]></description>
<dc:subject>python gui browser opensource flashcards</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:eb3a3e7d7c3b/</dc:identifier>
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</item>
<item rdf:about="http://wokkel.ik.nu/">
    <title>Wokkel</title>
    <dc:date>2013-02-24T09:30:04+00:00</dc:date>
    <link>http://wokkel.ik.nu/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Twisted's jabber server]]></description>
<dc:subject>python twisted chat jabber</dc:subject>
<dc:source>https://instapaper.com/</dc:source>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:00ed948f9d12/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:jabber"/>
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</item>
<item rdf:about="http://www.doughellmann.com/PyMOTW/pipes/">
    <title>pipes – Unix shell command pipeline templates - Python Module of the Week</title>
    <dc:date>2012-10-31T04:08:54+00:00</dc:date>
    <link>http://www.doughellmann.com/PyMOTW/pipes/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[python stdlib suport process chaining.]]></description>
<dc:subject>cli python shell</dc:subject>
<dc:source>https://instapaper.com/</dc:source>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:3c3ac6684163/</dc:identifier>
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<item rdf:about="http://openalea.gforge.inria.fr/dokuwiki/doku.php">
    <title>OpenAlea - OpenAlea</title>
    <dc:date>2012-10-05T02:34:45+00:00</dc:date>
    <link>http://openalea.gforge.inria.fr/dokuwiki/doku.php</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[OpenAlea is an open source project primarily aimed at the plant research community. It is a distributed collaborative effort to develop Python libraries and tools that address the needs of current and future works in Plant Architecture modeling. OpenAlea includes modules to analyse, visualize and model the functioning and growth of plant architecture.]]></description>
<dc:subject>lsystem c++ python opensource</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:f8ffca10a594/</dc:identifier>
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<item rdf:about="http://www.vicbioinformatics.com/software.nesoni.shtml">
    <title>VBC | Victorian Bioinformatics Consortium</title>
    <dc:date>2012-10-02T20:25:50+00:00</dc:date>
    <link>http://www.vicbioinformatics.com/software.nesoni.shtml</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Straight out of Clayton, a CLI/function application framework.

Nesoni includes tools that make it easy to write parallel processing pipelines in Python.

Pipelines are expressed as Python functions. The translation of a serial program with for-loops and function calls into a parallel program requires only simple localized modifications to the code.

Pipelines expressed in this way are composable, just like ordinary functions.

Much like make, the resultant program will only re-run tools as necessary if parameters are changed. The dependancy structure is implicit from the parallel program, if a tool needs to be re-run, only things that must execute after that tool also need re-running.

(Apparently it also sequences genes)]]></description>
<dc:subject>cli workflow concurrency python</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:cea890027612/</dc:identifier>
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</item>
<item rdf:about="http://mc-stan.org/">
    <title>Stan: Project Home</title>
    <dc:date>2012-08-31T04:03:30+00:00</dc:date>
    <link>http://mc-stan.org/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[A Hamiltonian Monte Carlo that translates your models to C++ then compiles them, so that you can do fast hierarchical bayesian inference. Does weird ninja stuff with c++ template functions to automatically differentiate. Now with python support]]></description>
<dc:subject>c++ monte_carlo statistics r bayes python</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:1b7b42f81d6e/</dc:identifier>
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<item rdf:about="http://spark-project.org/">
    <title>Spark Cluster Computing Framework</title>
    <dc:date>2012-08-30T00:46:55+00:00</dc:date>
    <link>http://spark-project.org/</link>
    <dc:creator>howthebodyworks</dc:creator><dc:subject>java python concurrency performance parallel mapreduce opensource scala hadoop</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:c34fa9fdf995/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scala"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:hadoop"/>
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</item>
<item rdf:about="http://www.huyng.com/posts/python-performance-analysis/">
    <title>A guide to analyzing Python performance « Huy Nguyen</title>
    <dc:date>2012-07-31T08:44:42+00:00</dc:date>
    <link>http://www.huyng.com/posts/python-performance-analysis/</link>
    <dc:creator>howthebodyworks</dc:creator><dc:subject>memory performance profiling python</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:5f13fb7167fd/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
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</item>
<item rdf:about="http://www.mozilla.org/en-US/persona/">
    <title>Mozilla Persona — an identity system for the web — mozilla.org</title>
    <dc:date>2012-07-17T04:20:21+00:00</dc:date>
    <link>http://www.mozilla.org/en-US/persona/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[why Mozilla is hiring pythonistas.]]></description>
<dc:subject>firefox python identity privacy</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:784a98d84dc7/</dc:identifier>
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</item>
<item rdf:about="http://pyvideo.org/video/674/militarizing-your-backyard-with-python-computer">
    <title>pyvideo.org - Militarizing Your Backyard with Python: Computer Vision and the Squirrel Hordes</title>
    <dc:date>2012-07-11T10:59:05+00:00</dc:date>
    <link>http://pyvideo.org/video/674/militarizing-your-backyard-with-python-computer</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[virtuosic - use python to train open CV to recognise squirrels, then squirt them with an arduino-controlled water pistol.]]></description>
<dc:subject>arduino howto python opencv</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:7602ed7a46f4/</dc:identifier>
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<item rdf:about="http://nipy.sourceforge.net/nitime/index.html">
    <title>Neuroimaging in Python — nitime 0.4 documentation</title>
    <dc:date>2012-07-11T07:28:28+00:00</dc:date>
    <link>http://nipy.sourceforge.net/nitime/index.html</link>
    <dc:creator>howthebodyworks</dc:creator><dc:subject>statistics python neuron mind</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:2bc1e0090a55/</dc:identifier>
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</item>
<item rdf:about="http://www.johndcook.com/stand_alone_code.html">
    <title>Stand-alone code for numerical computing</title>
    <dc:date>2012-06-21T02:48:46+00:00</dc:date>
    <link>http://www.johndcook.com/stand_alone_code.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[minimal stand-alone numerical code for doing minimal maths without importing, e.g. Boost, GSL, scipy...]]></description>
<dc:subject>statistics mathematics c# python c++</dc:subject>
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</item>
<item rdf:about="http://orange.biolab.si/">
    <title>Orange – Data Mining Fruitful &amp; Fun</title>
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    <link>http://orange.biolab.si/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Design your data analysis process through visual programming. Orange remembers your choices, suggests most frequently used combinations, and intelligently chooses which communication channels between widgets to use.

Orange is packed with different visualizations, from scatterplots, bar charts, trees, to dendrograms, networks and heatmaps.

Actions seamlessly propagate through data analysis schema. Selection of data subset in one widget can automatically trigger change of display in the other one. By combining various widgets you can design data analytics framework of choice.

Over 100 widgets and growing. Coverage of most of standard data analysis tasks. Also specialized add-ons are available, like Bioorange for bioinformatics.

With scripting interface in Python, programming new algorithms and developing complex data analysis procedures is pure joy, using and reusing all power found in v]]></description>
<dc:subject>opensource via:Strangefeatures statistics visualization python</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:a82b5046e44e/</dc:identifier>
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<item rdf:about="http://jeetworks.org/node/142">
    <title>Building and Installing SciPy, NumPy and PyMC on OS X 10.7 Lion | Jeet Sukumaran</title>
    <dc:date>2012-05-18T01:17:50+00:00</dc:date>
    <link>http://jeetworks.org/node/142</link>
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</item>
<item rdf:about="http://nichol.as/zeromq-an-introduction">
    <title>Nicholas Piël » ZeroMQ an introduction</title>
    <dc:date>2012-03-14T10:54:19+00:00</dc:date>
    <link>http://nichol.as/zeromq-an-introduction</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[The bestest introduction to the easiest parallelisation doohickey I know]]></description>
<dc:subject>concurrency python programming zeromq</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:a83463340492/</dc:identifier>
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</item>
<item rdf:about="http://www.themeswiki.org/Creating_template_for_Python_package">
    <title>Creating template for Python package - ThemesWiki</title>
    <dc:date>2012-03-13T03:04:20+00:00</dc:date>
    <link>http://www.themeswiki.org/Creating_template_for_Python_package</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA['nother approach to automating the packaging boilerplate]]></description>
<dc:subject>package paster python</dc:subject>
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<item rdf:about="http://zetcode.com/articles/packageinpython/">
    <title>Writing a Package in Python</title>
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    <link>http://zetcode.com/articles/packageinpython/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[the mysterious cargo-cult bits of setup-tools explained for humans]]></description>
<dc:subject>setuptools packaging python</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:bb094bc36c76/</dc:identifier>
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<item rdf:about="http://prabhuramachandran.blogspot.com.au/2008/09/python-vs-cython-vs-d-pyd-vs-c-swig.html">
    <title>Prabhu Ramachandran: Python vs. Cython vs. D (PyD) vs. C++ (SWIG)</title>
    <dc:date>2012-03-05T08:04:33+00:00</dc:date>
    <link>http://prabhuramachandran.blogspot.com.au/2008/09/python-vs-cython-vs-d-pyd-vs-c-swig.html</link>
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<dc:subject>cython numpy c++ d performance python</dc:subject>
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<item rdf:about="http://pypi.python.org/pypi/checkoutmanager">
    <title>checkoutmanager 1.10 : Python Package Index</title>
    <dc:date>2012-02-12T21:31:06+00:00</dc:date>
    <link>http://pypi.python.org/pypi/checkoutmanager</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[manage a whele bunch of repos at once.]]></description>
<dc:subject>svn opensource mercurial git bazaar python</dc:subject>
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<item rdf:about="http://sarge.readthedocs.org/en/latest/overview.html#why-not-just-use-subprocess">
    <title>Overview — Sarge 0.1 documentation</title>
    <dc:date>2012-02-12T02:47:51+00:00</dc:date>
    <link>http://sarge.readthedocs.org/en/latest/overview.html#why-not-just-use-subprocess</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[better subprocess dispatch for python. because explicit is better than implicit, and simplicity is great. but between the subprocess module and perl lies system scripting that's actually both usable and maintainable. Sarge looks like a contender for this role (see also: envoy)]]></description>
<dc:subject>cli python</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:1680893e0d02/</dc:identifier>
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</item>
<item rdf:about="http://slacy.com/blog/2010/11/simple-script-to-copy-id3-tags-from-one-file-to-another/">
    <title>Simple script to copy id3 tags from one file to another. | Slacy’s Blog</title>
    <dc:date>2012-02-05T20:36:46+00:00</dc:date>
    <link>http://slacy.com/blog/2010/11/simple-script-to-copy-id3-tags-from-one-file-to-another/</link>
    <dc:creator>howthebodyworks</dc:creator><dc:subject>id3 python metadata</dc:subject>
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</item>
<item rdf:about="http://www.clips.ua.ac.be/pages/pattern">
    <title>Pattern | CLiPS</title>
    <dc:date>2012-01-23T04:15:29+00:00</dc:date>
    <link>http://www.clips.ua.ac.be/pages/pattern</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[combo data-mining/NLP/web-scraping toolkit for instant natural experiments online]]></description>
<dc:subject>api statistics nlp datamining python</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:0b2db27fe1c2/</dc:identifier>
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</item>
<item rdf:about="https://scraperwiki.com/">
    <title>Refine, reuse and request data | ScraperWiki</title>
    <dc:date>2012-01-17T23:49:07+00:00</dc:date>
    <link>https://scraperwiki.com/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Scrape web data sources for fun and profit, collaboratively. Want a provocative data set to scrape?]]></description>
<dc:subject>wiki ruby. scraping data python</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:d24cdd5a0734/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:data"/>
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</item>
<item rdf:about="http://csvkit.readthedocs.org/en/latest/index.html">
    <title>csvkit 0.4.2 (beta) — csvkit 0.4.2 (beta) documentation</title>
    <dc:date>2012-01-17T22:41:11+00:00</dc:date>
    <link>http://csvkit.readthedocs.org/en/latest/index.html</link>
    <dc:creator>howthebodyworks</dc:creator><dc:subject>cli python csv</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:05ad37f21755/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:csv"/>
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</item>
<item rdf:about="http://packages.python.org/joblib/parallel.html#joblib.Parallel">
    <title>Embarrassingly parallel for loops — joblib v0.6.0b2 documentation</title>
    <dc:date>2012-01-12T03:30:22+00:00</dc:date>
    <link>http://packages.python.org/joblib/parallel.html#joblib.Parallel</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[lite concurrency for python for science]]></description>
<dc:subject>concurrency python</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:78d4f7a625c9/</dc:identifier>
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<item rdf:about="http://code.enthought.com/projects/traits/docs/html/tutorials/traits_ui_scientific_app.html">
    <title>Writing a graphical application for scientific programming using TraitsUI — Traits 3 User Manual</title>
    <dc:date>2012-01-09T05:32:43+00:00</dc:date>
    <link>http://code.enthought.com/projects/traits/docs/html/tutorials/traits_ui_scientific_app.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[easy scientific GUI apps]]></description>
<dc:subject>matplotlib gui traits python</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:269463f8d055/</dc:identifier>
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<item rdf:about="http://statsmodels.sourceforge.net/">
    <title>StatsModels: Statistics in Python — statsmodels v0.3.1 documentation</title>
    <dc:date>2012-01-09T05:28:39+00:00</dc:date>
    <link>http://statsmodels.sourceforge.net/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[you don't have to leave python to R for nearly as much these days.]]></description>
<dc:subject>scipy statistics python</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:668fcbd81f57/</dc:identifier>
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<item rdf:about="http://tinkerer.me/">
    <title>Home — Tinkerer</title>
    <dc:date>2012-01-04T04:38:05+00:00</dc:date>
    <link>http://tinkerer.me/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[perhaps I should port my blog to run on this tidy looking static-site generator.]]></description>
<dc:subject>restructuredtext blog python sphinx</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:fa437dd35b23/</dc:identifier>
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<item rdf:about="http://yz.mit.edu/wp/fast-native-c-protocol-buffers-from-python/">
    <title>Fast, native-C Protocol Buffers from Python | @yaaang's blog</title>
    <dc:date>2011-11-25T09:35:54+00:00</dc:date>
    <link>http://yz.mit.edu/wp/fast-native-c-protocol-buffers-from-python/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[how to link python against c++ protobufs that don't rely on slow introspection but Just Go]]></description>
<dc:subject>python c++ protobuf</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:e7ef4c6d8fc3/</dc:identifier>
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<item rdf:about="http://agf.statsolutions.eu/">
    <title>agf.statsolutions.eu</title>
    <dc:date>2011-11-25T02:01:30+00:00</dc:date>
    <link>http://agf.statsolutions.eu/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[python minority game simulation]]></description>
<dc:subject>agents statistics matlap econophysics python game_theory economics scalability</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:c42bcca559f2/</dc:identifier>
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<item rdf:about="http://blog.ezyang.com/2011/11/how-to-read-haskell/">
    <title>How to read Haskell like Python : Inside 233</title>
    <dc:date>2011-11-21T04:06:57+00:00</dc:date>
    <link>http://blog.ezyang.com/2011/11/how-to-read-haskell/</link>
    <dc:creator>howthebodyworks</dc:creator><dc:subject>Python howto Haskell</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:4b1ee81b3486/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:Python"/>
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<item rdf:about="http://users.rcn.com/python/download/matfunc.py">
    <title>http://users.rcn.com/python/download/matfunc.py</title>
    <dc:date>2011-11-01T05:03:47+00:00</dc:date>
    <link>http://users.rcn.com/python/download/matfunc.py</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[don't have CPython binary extensions? Linear algebra lite with Raymond Hettinger's surprisingly complete pure python matrix library - including solutions, eigenvalues etc]]></description>
<dc:subject>python linear_algebra matrix</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:e03fcfd248a4/</dc:identifier>
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<item rdf:about="http://zedshaw.com/essays/why_i_gpl.html">
    <title>Zed A. Shaw</title>
    <dc:date>2011-10-25T00:51:13+00:00</dc:date>
    <link>http://zedshaw.com/essays/why_i_gpl.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[
                
                    the incorrigible zed shaw, with his patent blend of diatribe and good points. (I still prefer BSD though)
                
            ]]></description>
<dc:subject>opensource money ip gpl python</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:2a520d06db4d/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ip"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:gpl"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.shogun-toolbox.org/">
    <title>shogun | A Large Scale Machine Learning Toolbox</title>
    <dc:date>2011-10-21T05:01:32+00:00</dc:date>
    <link>http://www.shogun-toolbox.org/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[
                
                    includes lots of tasty goodies radiating out from the SVM core, such as generalised markovian model learning, HDF5, string kernels, multi-language bindings and an emphasis on scalability.
                
            ]]></description>
<dc:subject>svm learning ai markov r python matlab</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:0ea6f2999b43/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:svm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:markov"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:r"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:matlab"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://dirac.cnrs-orleans.fr/plone/software/scientificpython">
    <title>ScientificPython — Theoretical Biophysics, Molecular Simulation, and Numerically Intensive Computation</title>
    <dc:date>2011-10-17T09:02:17+00:00</dc:date>
    <link>http://dirac.cnrs-orleans.fr/plone/software/scientificpython</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[
                
                    an alternative scientific pything thingy. looks a bit abandoned.
                
            ]]></description>
<dc:subject>python science mathematics netcdf</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:8eca4c5bb505/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:netcdf"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://dirac.cnrs-orleans.fr/plone/software/scientificpython/">
    <title>ScientificPython — Theoretical Biophysics, Molecular Simulation, and Numerically Intensive Computation</title>
    <dc:date>2011-10-17T08:35:53+00:00</dc:date>
    <link>http://dirac.cnrs-orleans.fr/plone/software/scientificpython/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[
                
                    pure pythonsolvers etc
soadhjlshjklsdaadsfklalsdjk solvers etc
                
            ]]></description>
<dc:subject>python opensource science</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:2e6254c75d1c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:science"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.dacya.ucm.es/jam/download.htm">
    <title>Downloads page of Jose Antonio Martin H</title>
    <dc:date>2011-10-17T04:32:33+00:00</dc:date>
    <link>http://www.dacya.ucm.es/jam/download.htm</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[
                
                    
                
            ]]></description>
<dc:subject>python ai learning machine numpy reinforcement_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:b9dd3c1750dd/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:machine"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:numpy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:reinforcement_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.luxrender.net/en_GB/index">
    <title>LuxRender - home</title>
    <dc:date>2011-09-17T23:45:46+00:00</dc:date>
    <link>http://www.luxrender.net/en_GB/index</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[throws povray to the floor, if you read the specs sheet. include full spectrum modelling (as opp RGBA) full materials simulation (iridescence from first principles). trendy gpu support, animation optimisations, adaptive smoothing, python api, HDR... Uses modern statistical techniques (metropolis sampling of light paths converging in the mean to a correct scene it minimal bias)
]]></description>
<dc:subject>physics opensource Python opencl 3d QT gpu c++ monte_carlo statisics</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:f59661b1a052/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:physics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:Python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:opencl"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:3d"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:QT"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:gpu"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:c++"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:monte_carlo"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:statisics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://wesmckinney.com/blog/?p=77">
    <title>A Roadmap for Rich Scientific Data Structures in Python | Quant Pythonista</title>
    <dc:date>2011-09-09T05:18:34+00:00</dc:date>
    <link>http://wesmckinney.com/blog/?p=77</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA["So, this post is a bit of a brain dump on rich data structures in Python and what needs to happen in the very near future. I care about them for statistical computing (I want to build a statistical computing environment that trounces R) and financial data analysis (all evidence leads me to believe that Python is the best all-around tool for the finance space). Other people in the scientific Python community want them for numerous other applications: geophysics, neuroscience, etc. It’s really hard to make everyone happy with a single solution. But the current state of affairs has me rather anxious. And I’d like to explain why..."
]]></description>
<dc:subject>statistics Python R visualisation db nosql has:for</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:a57a463047d4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:Python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:R"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:visualisation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:db"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:nosql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:has:for"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://packages.python.org/mrjob/index.html">
    <title>mrjob — mrjob v0.2.7 documentation</title>
    <dc:date>2011-09-04T22:36:14+00:00</dc:date>
    <link>http://packages.python.org/mrjob/index.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[mapreduce python wrapper that can deploy to a hadoop cluster, OR can deploy locally, preserving interactive debuggers &c
]]></description>
<dc:subject>mapreduce Python debug</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:72dd6db8c3b4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mapreduce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:Python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:debug"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.sublimetext.com/">
    <title>Sublime Text: The text editor you'll fall in love with</title>
    <dc:date>2011-08-27T04:13:15+00:00</dc:date>
    <link>http://www.sublimetext.com/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[sublimetext has a fair whack of textmate compatibility, native python API, runs on osx, linus and windows, and, most importantly, the author lives in australia so we can find him if he goes awol for a few years like the macromates guy.
]]></description>
<dc:subject>editor TextMate ide Python OSX windows linux</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:ea01eddf8fa2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:editor"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:TextMate"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ide"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:Python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:OSX"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:windows"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:linux"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://kivy.org/docs/guide-index.html">
    <title>Programming Guide — Kivy v1.0.8-dev documentation</title>
    <dc:date>2011-08-22T07:18:11+00:00</dc:date>
    <link>http://kivy.org/docs/guide-index.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[From the creators of PyMT, a framework for creating apps, in python, that can be deployed in iOs, windows, android, linux and Os X. Also, interesting snark about pyobjc.
]]></description>
<dc:subject>multitouch Python portable ios windows android ui opengl</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:c530f3e791c6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:multitouch"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:Python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:portable"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ios"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:windows"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:android"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ui"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:opengl"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://pandas.sourceforge.net/index.html">
    <title>pandas: a python data analysis library — pandas v0.4.0dev documentation</title>
    <dc:date>2011-08-13T11:25:59+00:00</dc:date>
    <link>http://pandas.sourceforge.net/index.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA["pandas is a python package providing convenient data structures for time series, cross-sectional, or any other form of “labeled” data, with tools for building statistical and econometric models."

handle data in python intuitively. pass to R for fiddly bits.
]]></description>
<dc:subject>Python R metadata statistics</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:858ee502e4c1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:Python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:R"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:metadata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:statistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://graphlab.org/">
    <title>GraphLab: A New Parallel Framework for Machine Learning</title>
    <dc:date>2011-08-10T12:51:49+00:00</dc:date>
    <link>http://graphlab.org/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Library claiming orders of magnitude speed improvement over hadoop and more flexibility than mapreduce. Already has amazon ec2 images ready to fire up. c++ is the native language; POJO claim to be also a first class citizen, and thus other JVM langauges. Hm.
]]></description>
<dc:subject>networks ec2 amazon c++ mapreduce scalability Java jython Python</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:09c00c5d1ad3/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ec2"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:amazon"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:c++"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mapreduce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:Java"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:jython"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:Python"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://bulbflow.com/overview/">
    <title>Bulbflow: a New Python Framework for Graph Databases</title>
    <dc:date>2011-08-09T22:26:16+00:00</dc:date>
    <link>http://bulbflow.com/overview/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[python graph traversal wrapper (OGM to the ORM world)
]]></description>
<dc:subject>ORM Python networks</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:82fbfdaf447f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ORM"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:Python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:networks"/>
</rdf:Bag></taxo:topics>
</item>
</rdf:RDF>