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adding task queue resource
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feeds/all.atom.xml

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<?xml version="1.0" encoding="utf-8"?>
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<feed xmlns="http://www.w3.org/2005/Atom"><title>Matt Makai</title><link href="http://www.fullstackpython.com/" rel="alternate"></link><link href="http://www.fullstackpython.com/feeds/all.atom.xml" rel="self"></link><id>http://www.fullstackpython.com/</id><updated>2014-02-20T15:14:15Z</updated></feed>
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<feed xmlns="http://www.w3.org/2005/Atom"><title>Matt Makai</title><link href="http://www.fullstackpython.com/" rel="alternate"></link><link href="http://www.fullstackpython.com/feeds/all.atom.xml" rel="self"></link><id>http://www.fullstackpython.com/</id><updated>2014-02-20T15:17:18Z</updated></feed>

source/content/pages/task-queues.rst

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15 minutes
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Task Queue Resources
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Task Queue resources
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--------------------
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`Queues.io <http://queues.io/>`_ is a collection of task queue systems with
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short summaries for each one. The task queues are not all compatible with
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Python but ones that work with it are tagged with the "Python" keyword.
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The `Celery <http://www.celeryproject.org/>`_ distributed task queue is the
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most commonly used Python library for handling asynchronous tasks and
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scheduling.
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It is backed by Redis and it is designed to have a low barrier to entry.
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It should be integrated in your web stack easily.
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task-queues.html

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15 minutes</li>
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</ul>
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<div class="section" id="task-queue-resources">
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<h2>Task Queue Resources</h2>
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<h2>Task Queue resources</h2>
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<p><a class="reference external" href="http://queues.io/">Queues.io</a> is a collection of task queue systems with
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short summaries for each one. The task queues are not all compatible with
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Python but ones that work with it are tagged with the &quot;Python&quot; keyword.</p>
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<p>The <a class="reference external" href="http://www.celeryproject.org/">Celery</a> distributed task queue is the
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most commonly used Python library for handling asynchronous tasks and
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scheduling.</p>

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