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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>2014-06-13T10:43:51Z</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>2014-06-17T08:56:20Z</updated></feed>

source-control.html

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control system directly. However, for small scale deployments it's often
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easiest to pull from source code when you're getting started instead of
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figuring out how to wrap the Python code in a system installation package.</p>
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<h2>Source control systems</h2>
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<h2>Source control projects</h2>
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<p>Numerous source control systems have been created over the past several
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decades. In the past, proprietary source control software offered features
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tailored to large development teams and specific project workflows. However,
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open source systems are now used for version control on the largest and most
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complicated software projects in existence. There's no reason why your project
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should use anything other than an open source version control system in
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today's Python development world. The two primary choices are:</p>
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<ul>
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<li>
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<p><a href="http://git-scm.com/">Git</a> is a free and open source distributed version

source/content/pages/03-deployment/0313-source-control.markdown

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figuring out how to wrap the Python code in a system installation package.
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## Source control systems
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## Source control projects
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Numerous source control systems have been created over the past several
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decades. In the past, proprietary source control software offered features
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tailored to large development teams and specific project workflows. However,
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open source systems are now used for version control on the largest and most
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complicated software projects in existence. There's no reason why your project
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should use anything other than an open source version control system in
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today's Python development world. The two primary choices are:
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* [Git](http://git-scm.com/) is a free and open source distributed version
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control system.
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