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		<title>Threading in Python tutorial</title>
		<description>Discuss Threading in Python tutorial</description>
		<link>http://www.taher-zadeh.com/blog/threading-in-python-tutorial</link>
		<lastBuildDate>Mon, 06 Feb 2012 07:21:32 +0000</lastBuildDate>
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			<title>Danial says:</title>
			<link>http://www.taher-zadeh.com/blog/threading-in-python-tutorial#comment-31</link>
			<description><![CDATA[Hi there, If you go over the code, there is a little javascript that pops up, with something like this: That is the source code, and is formatted. If it doesn't work, let me know ;) ]]></description>
			<dc:creator>Danial</dc:creator>
			<pubDate>Wed, 24 Aug 2011 12:22:47 +0000</pubDate>
			<guid>http://www.taher-zadeh.com/blog/threading-in-python-tutorial#comment-31</guid>
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			<title>amazigh@stoune.Com says:</title>
			<link>http://www.taher-zadeh.com/blog/threading-in-python-tutorial#comment-30</link>
			<description><![CDATA[extremely useful, but since the code is not formatted and inexistent indentation, like pooring water on sand. your last exemple, the most useful, is just unreadable.]]></description>
			<dc:creator>amazigh@stoune.Com</dc:creator>
			<pubDate>Tue, 23 Aug 2011 18:42:35 +0000</pubDate>
			<guid>http://www.taher-zadeh.com/blog/threading-in-python-tutorial#comment-30</guid>
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			<title>Joost says:</title>
			<link>http://www.taher-zadeh.com/blog/threading-in-python-tutorial#comment-27</link>
			<description><![CDATA[This was interesting to read, but in the end Parallel Python is both more simple to use and a lot faster since that *does* scale well to multiple cores. Not threads but processes..]]></description>
			<dc:creator>Joost</dc:creator>
			<pubDate>Tue, 23 Nov 2010 21:30:33 +0000</pubDate>
			<guid>http://www.taher-zadeh.com/blog/threading-in-python-tutorial#comment-27</guid>
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			<title>PythonTutorials says:</title>
			<link>http://www.taher-zadeh.com/blog/threading-in-python-tutorial#comment-26</link>
			<description><![CDATA[Good Work. Keep it up.]]></description>
			<dc:creator>PythonTutorials</dc:creator>
			<pubDate>Tue, 09 Nov 2010 16:37:34 +0000</pubDate>
			<guid>http://www.taher-zadeh.com/blog/threading-in-python-tutorial#comment-26</guid>
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			<title>Igor Ganapolsky says:</title>
			<link>http://www.taher-zadeh.com/blog/threading-in-python-tutorial#comment-16</link>
			<description><![CDATA[Say I have to make 100,000 http requests in a short amount of time (and record their status codes). If I were to go with the solution on this page, how many queues and threads-per-queue would you recommend? Your example is for a trivial and not cpu-intensive algorithm. Jason is also right in pointing out that threads in Python do not scale well on multiple cores. Perhaps threads even slow things down on multi-core.]]></description>
			<dc:creator>Igor Ganapolsky</dc:creator>
			<pubDate>Wed, 14 Apr 2010 17:46:27 +0000</pubDate>
			<guid>http://www.taher-zadeh.com/blog/threading-in-python-tutorial#comment-16</guid>
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			<title>Jason says:</title>
			<link>http://www.taher-zadeh.com/blog/threading-in-python-tutorial#comment-15</link>
			<description><![CDATA[as far as i know, threads in python do not migrate to other cores due to global lock. Which is why it is better to spawn processes rather than threads.]]></description>
			<dc:creator>Jason</dc:creator>
			<pubDate>Wed, 24 Mar 2010 17:36:07 +0000</pubDate>
			<guid>http://www.taher-zadeh.com/blog/threading-in-python-tutorial#comment-15</guid>
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			<title>boiled says:</title>
			<link>http://www.taher-zadeh.com/blog/threading-in-python-tutorial#comment-14</link>
			<description><![CDATA[cool, you really know what are doing. respect interesting for everyone]]></description>
			<dc:creator>boiled</dc:creator>
			<pubDate>Fri, 12 Mar 2010 11:22:00 +0000</pubDate>
			<guid>http://www.taher-zadeh.com/blog/threading-in-python-tutorial#comment-14</guid>
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