<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	xmlns:georss="http://www.georss.org/georss" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" xmlns:media="http://search.yahoo.com/mrss/"
	>

<channel>
	<title>Things and thoughts</title>
	<atom:link href="http://dpinte.wordpress.com/feed/" rel="self" type="application/rss+xml" />
	<link>http://dpinte.wordpress.com</link>
	<description></description>
	<lastBuildDate>Thu, 25 Apr 2013 05:32:38 +0000</lastBuildDate>
	<language>en</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.com/</generator>
<cloud domain='dpinte.wordpress.com' port='80' path='/?rsscloud=notify' registerProcedure='' protocol='http-post' />
<image>
		<url>http://s2.wp.com/i/buttonw-com.png</url>
		<title>Things and thoughts</title>
		<link>http://dpinte.wordpress.com</link>
	</image>
	<atom:link rel="search" type="application/opensearchdescription+xml" href="http://dpinte.wordpress.com/osd.xml" title="Things and thoughts" />
	<atom:link rel='hub' href='http://dpinte.wordpress.com/?pushpress=hub'/>
		<item>
		<title>PyQL : a new set of Python wrappers for QuantLib</title>
		<link>http://dpinte.wordpress.com/2012/03/23/pyql/</link>
		<comments>http://dpinte.wordpress.com/2012/03/23/pyql/#comments</comments>
		<pubDate>Fri, 23 Mar 2012 07:43:54 +0000</pubDate>
		<dc:creator>dpinte</dc:creator>
				<category><![CDATA[finance]]></category>
		<category><![CDATA[lfpug]]></category>
		<category><![CDATA[python]]></category>

		<guid isPermaLink="false">http://dpinte.wordpress.com/2012/03/23/pyql-a-new-set-of-python-wrappes-for-quantlib/</guid>
		<description><![CDATA[Hi folks, We are happy to announce the release of PyQL [1], a new set of Python wrappers for QuantLib. The project is available here : * URL: http://github.com/enthought/pyql * License: BSD license. * Authors: Didrik Pinte, Enthought and Patrick Henaff, IAE Paris. Why another set of Python wrappers for QuantLib? The SWIG wrappers provide [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=dpinte.wordpress.com&#038;blog=162810&#038;post=246&#038;subd=dpinte&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>http://dpinte.wordpress.com/2012/03/23/pyql/feed/</wfw:commentRss>
		<slash:comments>28</slash:comments>
	
		<media:content url="http://2.gravatar.com/avatar/23255e80c0492622aede94c6e5b72f64?s=96&#38;d=identicon&#38;r=G" medium="image">
			<media:title type="html">dpinte</media:title>
		</media:content>
	</item>
		<item>
		<title>Building MacVim with full Python EPD support</title>
		<link>http://dpinte.wordpress.com/2011/01/02/building-macvim-with-full-python-epd-support/</link>
		<comments>http://dpinte.wordpress.com/2011/01/02/building-macvim-with-full-python-epd-support/#comments</comments>
		<pubDate>Sun, 02 Jan 2011 13:48:47 +0000</pubDate>
		<dc:creator>dpinte</dc:creator>
				<category><![CDATA[EPD]]></category>
		<category><![CDATA[mac]]></category>
		<category><![CDATA[python]]></category>

		<guid isPermaLink="false">http://dpinte.wordpress.com/?p=240</guid>
		<description><![CDATA[If you want to use the :python or :pyfile commands or the omnicompletion plugin of Vim on a Mac with EPD, you will most probably want to recompile it with the Python support linked on the EPD instllation in place of the Mac Python. Here are the steps to follow (done on the latest stable [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=dpinte.wordpress.com&#038;blog=162810&#038;post=240&#038;subd=dpinte&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>http://dpinte.wordpress.com/2011/01/02/building-macvim-with-full-python-epd-support/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
	
		<media:content url="http://2.gravatar.com/avatar/23255e80c0492622aede94c6e5b72f64?s=96&#38;d=identicon&#38;r=G" medium="image">
			<media:title type="html">dpinte</media:title>
		</media:content>
	</item>
		<item>
		<title>Building Quantlib Python bindings (32bit) on MacOSX</title>
		<link>http://dpinte.wordpress.com/2010/12/30/building-quantlib-python-bindings-32bit-on-macosx/</link>
		<comments>http://dpinte.wordpress.com/2010/12/30/building-quantlib-python-bindings-32bit-on-macosx/#comments</comments>
		<pubDate>Thu, 30 Dec 2010 12:28:04 +0000</pubDate>
		<dc:creator>dpinte</dc:creator>
				<category><![CDATA[finance]]></category>
		<category><![CDATA[python]]></category>

		<guid isPermaLink="false">http://dpinte.wordpress.com/?p=229</guid>
		<description><![CDATA[I needed to use Quantlib with Traits on MacOSX. As the Traits backends are not available in 64bit on MacOSX with EPD, I had to build a 32bit version of Quantlib and the related swig bindings to make it work. By default, Quantlib will be built in 64bit mode and you will get the following [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=dpinte.wordpress.com&#038;blog=162810&#038;post=229&#038;subd=dpinte&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>http://dpinte.wordpress.com/2010/12/30/building-quantlib-python-bindings-32bit-on-macosx/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
	
		<media:content url="http://2.gravatar.com/avatar/23255e80c0492622aede94c6e5b72f64?s=96&#38;d=identicon&#38;r=G" medium="image">
			<media:title type="html">dpinte</media:title>
		</media:content>
	</item>
		<item>
		<title>Interfacing GSL with Python using Cython / comparison with weave</title>
		<link>http://dpinte.wordpress.com/2010/04/22/interfacing-gsl-with-python-using-cython-comparison-with-weave/</link>
		<comments>http://dpinte.wordpress.com/2010/04/22/interfacing-gsl-with-python-using-cython-comparison-with-weave/#comments</comments>
		<pubDate>Thu, 22 Apr 2010 15:13:04 +0000</pubDate>
		<dc:creator>dpinte</dc:creator>
				<category><![CDATA[EPD]]></category>
		<category><![CDATA[python]]></category>

		<guid isPermaLink="false">http://dpinte.wordpress.com/?p=213</guid>
		<description><![CDATA[The second example I wrote while testing how easy it is to use a C library from Python using Cython is the Gnu Scientific Library, gsl. The goal here is to compare how easy it is to do it using Cython or weave. The first example is a bessel function (from gsl/gsl_sf_bessel.h): The Cython interface [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=dpinte.wordpress.com&#038;blog=162810&#038;post=213&#038;subd=dpinte&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>http://dpinte.wordpress.com/2010/04/22/interfacing-gsl-with-python-using-cython-comparison-with-weave/feed/</wfw:commentRss>
		<slash:comments>8</slash:comments>
	
		<media:content url="http://2.gravatar.com/avatar/23255e80c0492622aede94c6e5b72f64?s=96&#38;d=identicon&#38;r=G" medium="image">
			<media:title type="html">dpinte</media:title>
		</media:content>
	</item>
		<item>
		<title>Interfacing ta-lib with Python using Cython : moving average function example</title>
		<link>http://dpinte.wordpress.com/2010/04/22/interfacing-ta-lib-with-cython/</link>
		<comments>http://dpinte.wordpress.com/2010/04/22/interfacing-ta-lib-with-cython/#comments</comments>
		<pubDate>Thu, 22 Apr 2010 14:32:53 +0000</pubDate>
		<dc:creator>dpinte</dc:creator>
				<category><![CDATA[EPD]]></category>
		<category><![CDATA[python]]></category>

		<guid isPermaLink="false">http://dpinte.wordpress.com/?p=198</guid>
		<description><![CDATA[Following up on my previous post about how Cython could be used to improve the performance, I wanted to show how easy it is to interact with a C library. Here is the example of ta-lib : TA-Lib is widely used by trading software developers requiring to perform technical analysis of financial market data. ta-lib [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=dpinte.wordpress.com&#038;blog=162810&#038;post=198&#038;subd=dpinte&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>http://dpinte.wordpress.com/2010/04/22/interfacing-ta-lib-with-cython/feed/</wfw:commentRss>
		<slash:comments>9</slash:comments>
	
		<media:content url="http://2.gravatar.com/avatar/23255e80c0492622aede94c6e5b72f64?s=96&#38;d=identicon&#38;r=G" medium="image">
			<media:title type="html">dpinte</media:title>
		</media:content>

		<media:content url="http://dpinte.files.wordpress.com/2010/04/tama_screenshot.png?w=300" medium="image">
			<media:title type="html">tama_screenshot</media:title>
		</media:content>
	</item>
		<item>
		<title>Surface plots using a 4th parameter for colormap in Mayavi</title>
		<link>http://dpinte.wordpress.com/2010/03/30/4d-surface-plots-in-mayavi/</link>
		<comments>http://dpinte.wordpress.com/2010/03/30/4d-surface-plots-in-mayavi/#comments</comments>
		<pubDate>Tue, 30 Mar 2010 12:02:42 +0000</pubDate>
		<dc:creator>dpinte</dc:creator>
				<category><![CDATA[EPD]]></category>
		<category><![CDATA[finance]]></category>
		<category><![CDATA[python]]></category>

		<guid isPermaLink="false">http://dpinte.wordpress.com/?p=191</guid>
		<description><![CDATA[Playing with Mayavi, I wanted to find an easy way to use the colormap in an mlab.surf() call to display of fourth dimension. It is a very nice way to explore datasets. The image here below shows an option valuation tool that overlays the Black &#38; Scholes call delta value on top of the surface [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=dpinte.wordpress.com&#038;blog=162810&#038;post=191&#038;subd=dpinte&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>http://dpinte.wordpress.com/2010/03/30/4d-surface-plots-in-mayavi/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
	
		<media:content url="http://2.gravatar.com/avatar/23255e80c0492622aede94c6e5b72f64?s=96&#38;d=identicon&#38;r=G" medium="image">
			<media:title type="html">dpinte</media:title>
		</media:content>

		<media:content url="http://dpinte.files.wordpress.com/2010/03/option_valuation_3d.png?w=263" medium="image">
			<media:title type="html">option_valuation_3D</media:title>
		</media:content>
	</item>
		<item>
		<title>NumPy/MKL vs Matlab performance</title>
		<link>http://dpinte.wordpress.com/2010/03/16/numpymkl-vs-matlab-performance/</link>
		<comments>http://dpinte.wordpress.com/2010/03/16/numpymkl-vs-matlab-performance/#comments</comments>
		<pubDate>Tue, 16 Mar 2010 16:25:18 +0000</pubDate>
		<dc:creator>dpinte</dc:creator>
				<category><![CDATA[EPD]]></category>
		<category><![CDATA[numpy]]></category>
		<category><![CDATA[python]]></category>

		<guid isPermaLink="false">http://dpinte.wordpress.com/?p=177</guid>
		<description><![CDATA[Further to the post I wrote on the MKL performance improvement on NumPy, I have tried to get some figures comparing it to Matlab. Here are some results. Any suggestion to improve the comparison is welcome. I will update it with the different values I do collect. Here is the Matlab script I used to [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=dpinte.wordpress.com&#038;blog=162810&#038;post=177&#038;subd=dpinte&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>http://dpinte.wordpress.com/2010/03/16/numpymkl-vs-matlab-performance/feed/</wfw:commentRss>
		<slash:comments>16</slash:comments>
	
		<media:content url="http://2.gravatar.com/avatar/23255e80c0492622aede94c6e5b72f64?s=96&#38;d=identicon&#38;r=G" medium="image">
			<media:title type="html">dpinte</media:title>
		</media:content>
	</item>
		<item>
		<title>Cloud computing with Python and Excel : picloud integration</title>
		<link>http://dpinte.wordpress.com/2010/03/12/cloud-computing-with-python-and-excel-picloud-integration/</link>
		<comments>http://dpinte.wordpress.com/2010/03/12/cloud-computing-with-python-and-excel-picloud-integration/#comments</comments>
		<pubDate>Fri, 12 Mar 2010 16:09:22 +0000</pubDate>
		<dc:creator>dpinte</dc:creator>
				<category><![CDATA[lfpug]]></category>
		<category><![CDATA[Linkedin]]></category>
		<category><![CDATA[python]]></category>
		<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://dpinte.wordpress.com/?p=170</guid>
		<description><![CDATA[Further to my previous post about making Python GUI interact with Excel, we thought it would be interesting to test how cloud computing could be easily accessible from Excel using Python and the picloud library. We have just added interfaced some Python code that do compute the put and call price of a stock based [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=dpinte.wordpress.com&#038;blog=162810&#038;post=170&#038;subd=dpinte&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>http://dpinte.wordpress.com/2010/03/12/cloud-computing-with-python-and-excel-picloud-integration/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
	
		<media:content url="http://2.gravatar.com/avatar/23255e80c0492622aede94c6e5b72f64?s=96&#38;d=identicon&#38;r=G" medium="image">
			<media:title type="html">dpinte</media:title>
		</media:content>

		<media:content url="http://dpinte.files.wordpress.com/2010/03/pyxll_picloud.png?w=300" medium="image">
			<media:title type="html">pyxll_picloud</media:title>
		</media:content>
	</item>
		<item>
		<title>Interactive Python graphics/visualisation with Excel</title>
		<link>http://dpinte.wordpress.com/2010/03/12/interactive-python-graphicsvisualisation-with-excel/</link>
		<comments>http://dpinte.wordpress.com/2010/03/12/interactive-python-graphicsvisualisation-with-excel/#comments</comments>
		<pubDate>Fri, 12 Mar 2010 15:00:24 +0000</pubDate>
		<dc:creator>dpinte</dc:creator>
				<category><![CDATA[lfpug]]></category>
		<category><![CDATA[Linkedin]]></category>
		<category><![CDATA[python]]></category>

		<guid isPermaLink="false">http://dpinte.wordpress.com/?p=160</guid>
		<description><![CDATA[Making Excel users benefit of the quick and powerful Python GUI tools was an idea that looked pretty interesting. The two main arguments for that are : Python code is easily maintainable, tested and integrated compared to what can be inside of an Excel sheet Python has some powerful libraries for numerical computing, 2D/3D visualisation, [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=dpinte.wordpress.com&#038;blog=162810&#038;post=160&#038;subd=dpinte&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>http://dpinte.wordpress.com/2010/03/12/interactive-python-graphicsvisualisation-with-excel/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
	
		<media:content url="http://2.gravatar.com/avatar/23255e80c0492622aede94c6e5b72f64?s=96&#38;d=identicon&#38;r=G" medium="image">
			<media:title type="html">dpinte</media:title>
		</media:content>

		<media:content url="http://dpinte.files.wordpress.com/2010/03/pyxll_chaco_integration.png?w=300" medium="image">
			<media:title type="html">pyxll_chaco_integration</media:title>
		</media:content>
	</item>
		<item>
		<title>Improving Python speed using Cython : Binomial option valuation example</title>
		<link>http://dpinte.wordpress.com/2010/02/12/improving-python-speed-using-cython-binomial-option-valuation-example/</link>
		<comments>http://dpinte.wordpress.com/2010/02/12/improving-python-speed-using-cython-binomial-option-valuation-example/#comments</comments>
		<pubDate>Fri, 12 Feb 2010 12:27:12 +0000</pubDate>
		<dc:creator>dpinte</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://dpinte.wordpress.com/?p=148</guid>
		<description><![CDATA[For the last LFPUG meeting, I have developed a simple example showing how Cython could be used to improve the performance of Python. The idea here is not to find the best way to do it but just to try to get a great speed up without digging into the hard stuff. 1. The model [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=dpinte.wordpress.com&#038;blog=162810&#038;post=148&#038;subd=dpinte&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
		<wfw:commentRss>http://dpinte.wordpress.com/2010/02/12/improving-python-speed-using-cython-binomial-option-valuation-example/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:content url="http://2.gravatar.com/avatar/23255e80c0492622aede94c6e5b72f64?s=96&#38;d=identicon&#38;r=G" medium="image">
			<media:title type="html">dpinte</media:title>
		</media:content>

		<media:content url="http://public.dpinte.fastmail.fm/downloads/screenshot.png" medium="image">
			<media:title type="html">Results</media:title>
		</media:content>
	</item>
	</channel>
</rss>
