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updating changelog and adding docker resources
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‎all.html‎

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@@ -5866,6 +5866,11 @@ <h2>Docker resources</h2>
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well worth buying.</p>
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</li>
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<li>
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<p><a href="https://github.com/odewahn/docker-jumpstart/">Docker Jumpstart</a> is a
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comprehensive introduction to what Docker is and how to get started with
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using the tool.</p>
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</li>
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<li>
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<p><a href="http://pythonforengineers.com/what-the-bleep-is-docker/">What the Bleep is Docker?</a>
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is a plain English explanation with examples of what Docker provides and
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what it can be used for in your environment.</p>
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from the perspective of Python developers handling deployments.</p>
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</li>
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</ul>
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<h3>What do you want to learn next about deployment?</h3>
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<h1>Caching</h1>
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<p>Caching can reduce the load on servers by storing the results of common
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operations and serving the precomputed answers to clients. </p>
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</li>
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</ul>
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<h2>Caching learning checklist</h2>
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<p><i class="fa fa-check-square-o"></i>
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Analyze your web application for the slowest parts. It's likely there are
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complex database queries that can be precomputed and stored in an in-memory
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data store.</p>
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<p><i class="fa fa-check-square-o"></i>
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Leverage your existing in-memory data store already used for session data
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to cache the results of those complex database queries.
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A <a href="/task-queues.html">task queue</a> can often be used to precompute the results
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on a regular basis and save them in the data store.</p>
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<p><i class="fa fa-check-square-o"></i>
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Incorporate a cache invalidation scheme so the precomputed results remain
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accurate when served up to the user.</p>
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<h3>What do you want to learn now that your app is responding faster?</h3>
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<ol>
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<li>
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<p>Analyze your web application for the slowest parts. It's likely there are
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complex database queries that can be precomputed and stored in an in-memory
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data store.</p>
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</li>
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<li>
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<p>Leverage your existing in-memory data store already used for session data
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to cache the results of those complex database queries. A
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<a href="/task-queues.html">task queue</a> can often be used to precompute the results
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on a regular basis and save them in the data store.</p>
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</li>
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<li>
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<p>Incorporate a cache invalidation scheme so the precomputed results remain
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accurate when served up to the user.</p>
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</li>
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</ol>
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<h1>Code Metrics</h1>
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<p>Code metrics can be produced by static code analysis tools to determine
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complexity and non-standard practices.</p>
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the
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<a href="https://github.com/makaimc/fullstackpython.github.com/commits/gh-pages">source repository's commit log</a> on GitHub.</p>
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<h2>2015</h2>
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<h3>June</h3>
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<ul>
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<li>Added new <a href="/docker.html">Docker</a> resources.</li>
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<li>Made some changes to what is contained in the Markdown files versus the
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HTML Jinja2 templates. Behind the scenes work that needed to be done to
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move the project forward.</li>
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<li>Work continues on the
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<a href="http://www.deploypython.com/">Full Stack Python Guide to Deployments</a> book.</li>
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</ul>
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<h3>May</h3>
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<ul>
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<li>Got a whole lot of work done on my upcoming

‎caching.html‎

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</li>
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</ul>
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<h2>Caching learning checklist</h2>
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<p><i class="fa fa-check-square-o"></i>
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Analyze your web application for the slowest parts. It's likely there are
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complex database queries that can be precomputed and stored in an in-memory
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data store.</p>
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<p><i class="fa fa-check-square-o"></i>
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Leverage your existing in-memory data store already used for session data
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to cache the results of those complex database queries.
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A <a href="/task-queues.html">task queue</a> can often be used to precompute the results
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on a regular basis and save them in the data store.</p>
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<p><i class="fa fa-check-square-o"></i>
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Incorporate a cache invalidation scheme so the precomputed results remain
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accurate when served up to the user.</p>
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<h3>What do you want to learn now that your app is responding faster?</h3>
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<ol>
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<li>
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<p>Analyze your web application for the slowest parts. It's likely there are
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complex database queries that can be precomputed and stored in an in-memory
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data store.</p>
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</li>
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<li>
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<p>Leverage your existing in-memory data store already used for session data
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to cache the results of those complex database queries. A
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<a href="/task-queues.html">task queue</a> can often be used to precompute the results
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on a regular basis and save them in the data store.</p>
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</li>
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<li>
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<p>Incorporate a cache invalidation scheme so the precomputed results remain
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accurate when served up to the user.</p>
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</li>
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</ol>
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<h3>What do you want to learn next for your deployment?</h3>
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<div class="row">
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<div class="col-md-4">
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<div class="well select-next">

‎change-log.html‎

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the
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<a href="https://github.com/makaimc/fullstackpython.github.com/commits/gh-pages">source repository's commit log</a> on GitHub.</p>
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<h2>2015</h2>
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<h3>June</h3>
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<ul>
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<li>Added new <a href="/docker.html">Docker</a> resources.</li>
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<li>Made some changes to what is contained in the Markdown files versus the
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HTML Jinja2 templates. Behind the scenes work that needed to be done to
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move the project forward.</li>
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<li>Work continues on the
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<a href="http://www.deploypython.com/">Full Stack Python Guide to Deployments</a> book.</li>
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</ul>
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<h3>May</h3>
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<ul>
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<li>Got a whole lot of work done on my upcoming

‎docker.html‎

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well worth buying.</p>
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</li>
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<li>
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<p><a href="https://github.com/odewahn/docker-jumpstart/">Docker Jumpstart</a> is a
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comprehensive introduction to what Docker is and how to get started with
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using the tool.</p>
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</li>
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<li>
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<p><a href="http://pythonforengineers.com/what-the-bleep-is-docker/">What the Bleep is Docker?</a>
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is a plain English explanation with examples of what Docker provides and
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what it can be used for in your environment.</p>
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from the perspective of Python developers handling deployments.</p>
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</li>
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</ul>
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<h3>What do you want to learn next about deployment?</h3>
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<h3>What do you want to learn next about deployments?</h3>
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<div class="well select-next">

‎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>2015-06-06T08:42:46Z</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>2015-06-07T16:10:14Z</updated></feed>

‎source/content/pages/07-web-app-deployment/17-docker.markdown‎

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[O'Reilly Introduction to Docker video](http://shop.oreilly.com/product/0636920035732.do) that's
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well worth buying.
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* [Docker Jumpstart](https://github.com/odewahn/docker-jumpstart/) is a
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comprehensive introduction to what Docker is and how to get started with
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using the tool.
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* [What the Bleep is Docker?](http://pythonforengineers.com/what-the-bleep-is-docker/)
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is a plain English explanation with examples of what Docker provides and
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what it can be used for in your environment.
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[a closer look at Docker](https://lincolnloop.com/blog/closer-look-docker/)
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from the perspective of Python developers handling deployments.
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### What do you want to learn next about deployment?

‎source/content/pages/07-web-app-deployment/18-caching.markdown‎

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## Caching learning checklist
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<i class="fa fa-check-square-o"></i>
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Analyze your web application for the slowest parts. It's likely there are
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complex database queries that can be precomputed and stored in an in-memory
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data store.
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1. Analyze your web application for the slowest parts. It's likely there are
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complex database queries that can be precomputed and stored in an in-memory
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data store.
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<i class="fa fa-check-square-o"></i>
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Leverage your existing in-memory data store already used for session data
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to cache the results of those complex database queries.
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A [task queue](/task-queues.html) can often be used to precompute the results
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on a regular basis and save them in the data store.
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1. Leverage your existing in-memory data store already used for session data
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to cache the results of those complex database queries. A
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[task queue](/task-queues.html) can often be used to precompute the results
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on a regular basis and save them in the data store.
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<i class="fa fa-check-square-o"></i>
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Incorporate a cache invalidation scheme so the precomputed results remain
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accurate when served up to the user.
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1. Incorporate a cache invalidation scheme so the precomputed results remain
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accurate when served up to the user.
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### What do you want to learn now that your app is responding faster?

‎source/content/pages/13-meta/02-change-log.markdown‎

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## 2015
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### June
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* Added new [Docker](/docker.html) resources.
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* Made some changes to what is contained in the Markdown files versus the
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HTML Jinja2 templates. Behind the scenes work that needed to be done to
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move the project forward.
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* Work continues on the
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[Full Stack Python Guide to Deployments](http://www.deploypython.com/) book.
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### May
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* Got a whole lot of work done on my upcoming
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[Full Stack Python Guide to Deployments](http://www.deploypython.com/) book.

‎source/theme/templates/choices/caching.html‎

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<h3>What do you want to learn next for your deployment?</h3>
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‎source/theme/templates/choices/docker.html‎

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