<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0"><channel><title>PyVideo.org - Alex Sharp</title><link>https://pyvideo.org/</link><description></description><lastBuildDate>Wed, 22 Aug 2012 00:00:00 +0000</lastBuildDate><item><title>Big data with python</title><link>https://pyvideo.org/pycon-au-2012/big-data-with-python.html</link><description>&lt;h3&gt;Summary&lt;/h3&gt;&lt;p&gt;Dealing with big data isn't a particularly new problem. There are all
sorts of new solutions, each with their own niche, their own hype. It's
important to remember that python is not &amp;quot;too slow&amp;quot; for big data, and
that with projects such as&lt;/p&gt;
&lt;h3&gt;Description&lt;/h3&gt;&lt;p&gt;Dealing with big data isn't a particularly new problem. There are all
sorts of new solutions, each with their own niche, their own hype. It's
important to remember that python is not &amp;quot;too slow&amp;quot; for big data, and
that with projects such as scipy, numpy, cython and rpy, python is
becoming a better tool then ever for data processing. In this talk we'll
be explaining some of the theory behind big data problems, where python
fits in and some of the more interesting things you can do.&lt;/p&gt;
</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Alex Sharp</dc:creator><pubDate>Wed, 22 Aug 2012 00:00:00 +0000</pubDate><guid isPermaLink="false">tag:pyvideo.org,2012-08-22:/pycon-au-2012/big-data-with-python.html</guid><category>PyCon AU 2012</category><category>bigdata</category></item></channel></rss>