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      <title>Django Command Extensions</title>
      <description>&lt;a href="http://github.com/django-extensions"&gt;Django Command Extensions&lt;/a&gt;&lt;img src="http://feeds.feedburner.com/~r/Pythonflow/~4/V529PS2EJBE" height="1" width="1"/&gt;</description>
      <pubDate>Mon, 18 May 2009 16:47:16 +0000</pubDate>
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      <title>Reverend is a general purpose Bayesian classifier</title>
      <description>&lt;a href="http://divmod.org/trac/wiki/DivmodReverend"&gt;Reverend&lt;/a&gt; is a general purpose Bayesian classifier, named after Rev. Thomas Bayes. Use the Reverend to quickly add Bayesian smarts to your app. To use it in your own application, you either subclass Bayes or pass it a tokenizing function. Bayesian fun has never been so quick and easy. Many thanks for Christophe Delord for his well written PopF. Orange also looks good. If you are looking for a spam filter take a look at SpamBayes? and POPFile.&lt;img src="http://feeds.feedburner.com/~r/Pythonflow/~4/4KdxuqKGvuA" height="1" width="1"/&gt;</description>
      <pubDate>Fri, 17 Apr 2009 08:00:18 +0000</pubDate>
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      <title>Developing Django apps with zc.buildout</title>
      <description>&lt;a href="http://jacobian.org/writing/django-apps-with-buildout/"&gt;Developing Django apps with zc.buildout&lt;/a&gt;: "Over the weekend I put together django-shorturls, the latest in a series of small plugable Django apps I’ve written. This time, though, I used zc.buildout and djangorecipe to build, test, package, and distribute the app, and (with the exception of a few annoyances) it’s an exceedingly civilized way to develop an app.

In the interest of helping improve Buildout’s still-nascent documentation, I documented my steps along the way. So, here’s how build, test, and distribute a reusable Django app using Buildout, with every step along the way explained in excruciating detail."&lt;img src="http://feeds.feedburner.com/~r/Pythonflow/~4/Y7ktpQrvn-E" height="1" width="1"/&gt;</description>
      <pubDate>Fri, 17 Apr 2009 07:21:04 +0000</pubDate>
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      <title>Regex in a Nutshell</title>
      <description>I've added Python to the colorful &lt;a href="http://www.bitcetera.com/en/techblog/2008/04/01/regex-in-a-nutshell/" rel="nofollow" &gt;Regex in a Nutshell&lt;/a&gt; cheat sheet, which might come in handy for your daily work with regular expressions.&lt;img src="http://feeds.feedburner.com/~r/Pythonflow/~4/tAY4rXupJyI" height="1" width="1"/&gt;</description>
      <pubDate>Wed, 15 Apr 2009 14:29:26 +0000</pubDate>
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      <title>Writing a Package in Python</title>
      <description>&lt;a href="http://www.brenelz.com/blog/2009/04/09/writing-a-package-in-python/"&gt;Writing a Package in Python&lt;/a&gt;:
# To shorten the time needed to set up everything before starting the real work, in other words the boiler-plate code
# To provide a standardized way to write packages
# To ease the use of a test-driven development approach
# To facilitate the releasing process&lt;img src="http://feeds.feedburner.com/~r/Pythonflow/~4/GFE5Hr1zaDk" height="1" width="1"/&gt;</description>
      <pubDate>Tue, 14 Apr 2009 07:04:43 +0000</pubDate>
      <link>http://feedproxy.google.com/~r/Pythonflow/~3/GFE5Hr1zaDk/81</link>
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      <title>Django Best Practices</title>
      <description>&lt;a href="http://lincolnloop.com/django-best-practices/"&gt;Django Best Practices&lt;/a&gt;: "This is a living document of best practices in developing and deploying with the Django Web framework. These should not be seen as the right way or the only way to work with Django, but instead best practices we’ve honed after years of working with the framework."&lt;img src="http://feeds.feedburner.com/~r/Pythonflow/~4/gExvQNZrCFg" height="1" width="1"/&gt;</description>
      <pubDate>Fri, 10 Apr 2009 05:50:14 +0000</pubDate>
      <link>http://feedproxy.google.com/~r/Pythonflow/~3/gExvQNZrCFg/80</link>
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      <title>IBM's Python driver is out of beta</title>
      <description>IBM's Python driver is finally &lt;a href="http://antoniocangiano.com/2009/03/17/ibms-python-driver-is-out-of-beta/"&gt;out of beta&lt;/a&gt;.&lt;img src="http://feeds.feedburner.com/~r/Pythonflow/~4/VTT0b34FpKQ" height="1" width="1"/&gt;</description>
      <pubDate>Tue, 17 Mar 2009 10:26:05 +0000</pubDate>
      <link>http://feedproxy.google.com/~r/Pythonflow/~3/VTT0b34FpKQ/79</link>
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      <title>Python Cheat Sheet</title>
      <description>An awesome &lt;a href="http://added-bytes-cheat-sheets.googlegroups.com/web/python_cheat_sheet-0.1.png"&gt;Python Cheat Sheet&lt;/a&gt; - all ready to print.&lt;img src="http://feeds.feedburner.com/~r/Pythonflow/~4/2dHp6aJPD0I" height="1" width="1"/&gt;</description>
      <pubDate>Wed, 06 Aug 2008 02:03:12 +0000</pubDate>
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      <title>Comparison between Python and C in generating JPEGs</title>
      <description>A &lt;a href="http://www.rkblog.rk.edu.pl/w/p/python-c-and-c-efficiency-jpg-thumbnail-creation/"&gt;Python vs C comparison in generating JPEG thumbnails.&lt;/a&gt; Okay, it's using a C-based library, but Python adds very little overhead to the process!&lt;img src="http://feeds.feedburner.com/~r/Pythonflow/~4/dlixQ5krpOA" height="1" width="1"/&gt;</description>
      <pubDate>Wed, 06 Aug 2008 02:02:15 +0000</pubDate>
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      <title>Simple JSON serialization for Python</title>
      <description>&lt;a href="http://code.google.com/p/jsonpickle/"&gt;jsonpickle&lt;/a&gt; is a library that allows any Python object to be serialized into JSON. While simplejson only serializes primitive objects, jsonpickle handles most Python objects. jsonpickle recursively examines Python objects and collections (dictionaries, lists, tuples, and sets), and converts non primitive objects to a primitive version.&lt;img src="http://feeds.feedburner.com/~r/Pythonflow/~4/cSHr4LeJOH0" height="1" width="1"/&gt;</description>
      <pubDate>Sun, 03 Aug 2008 16:17:37 +0000</pubDate>
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