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<!DOCTYPE html>
<html lang="en">
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
<meta charset="utf-8">
<title>Analytics Automated</title>
<meta name="generator" content="Bootply" />
<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1">
<link href="static/bootstrap-3.3.5-dist/css/bootstrap.min.css" type="text/css" rel="stylesheet">
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<script src="//html5shim.googlecode.com/svn/trunk/html5.js"></script>
<![endif]-->
<link href="static/css/styles.css" rel="stylesheet">
</head>
<body>
<div class="navbar navbar-fixed-top alt" data-spy="affix" data-offset-top="1000">
<div class="container">
<div class="navbar-header">
<a href="index.html" class="navbar-brand">Home</a>
<a class="navbar-toggle" data-toggle="collapse" data-target=".navbar-collapse">
<span class="icon-bar"></span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</a>
</div>
<div class="navbar-collapse collapse" id="navbar">
<ul class="nav navbar-nav">
<li><a href="index.html#sec1">What</a></li>
<li><a href="index.html#sec2">How</a></li>
<li><a href="index.html#sec3">Download</a></li>
<li><a href="documentation.html">Documentation</a></li>
<li><a href="faq.html">FAQ</a></li>
</ul>
</div>
</div>
</div>
<div class="faq_blurb">
<div class="container">
<h1>FAQ</h1>
<ul class="list-unstyled">
<li><h3>What is this?</h3>
<p>Analytics Automated, A_A, is a
<a href="https://www.python.org/download/releases/3.0/">Python</a>/
<a href="https://www.djangoproject.com/">Django</a> application which
allows you to turn computer software into RESTful webservices simply by
configuring a web application. It is designed principally to allow
users to make predictions with statistical models but it can be
configured to run any software at all.</p>
</li>
<li><h3>Why would I want to do this?</h3>
<p>Operationalising statistical models and Data Science research is
hard, this framework simplifies this process. In fact you could turn
any piece of software in to a remote service users could call, even
<code>rm -rf *</code> (we don't advise you do this)</p>
</li>
<li><h3>Any other reason?</h3>
<p>Technology lock-in is common in organisations. A_A lets you build
models and data analysis pipelines for across different data
analysis technologies. This leaves your organisation free to integrate
or drop technologies and to hire
the best talent without having to bet the farm on whichever of today's
new hot Data Science technologies will still be around in a year's
time.</p>
</li>
<li><h3>Is it complicated?</h3>
<p>A_A should be easy to understand for anyone with a reasonable
knowledge of <a href="https://www.python.org/download/releases/3.0/">Python</a>
and a passing knowledge of <a href="https://www.djangoproject.com/">Django</a>. Set up is
somewhat involved but once this is done configuring new services should
be straightforward.</p>
</li>
<li><h3>What do I need to know?</h3>
<p>You should know
<a href="https://www.python.org/download/releases/3.0/">Python 3</a>.
You should also be familiar with <a href="https://www.djangoproject.com/">Django</a>.
A passing knowledge of <a href="http://www.celeryproject.org/">Celery</a>
and <a href="https://www.rabbitmq.com/">RabbitMQ</a> would not hurt either.
We're not going to pretend this is a solution to instant and automatic
Data Science success.</p>
</li>
<li><h3>What analytics and modelling software are supported?</h3>
<p>So far anything that can run on a standard unix commandline
can be turned in to a service. As new backends are added to the
<a href="https://pypi.python.org/pypi/commandRunner">commandRunner python package</a>
we'll add those to A_A. In the next month or so we'll be adding Grid
Engine and <a href="https://www.r-project.org/">R</a> (via
<a href="https://rforge.net/Rserve/">RServe</a>)</p>
</li>
<li><h3>What about my pet modelling software/application?</h3>
<p>If it runs on the commandline you can use it right now! If it runs in
a specific modelling package we have plans to add support for many of
them. Shortly, We plan to add <a href="https://hadoop.apache.org/">Hadoop</a>,
<a href="https://www.gnu.org/software/octave/">Octave</a>,
<a href="http://uk.mathworks.com/">Matlab</a> and
<a href="https://www.wolfram.com/mathematica/">Mathematica</a> support.
We'd love to also add support for <a href="https://support.sas.com">SAS
Enterprise Server</a>. Anything else is not currently on the roadmap.
If you'd like to add support for anything specific please consider
forking the <a href="https://github.com/AnalyticsAutomated/commandRunner">commandRunner</a>
code base and adding the appropriate class.</p>
</li>
<li><h3>Why Python?</h3>
<p>Python has emerged as the de-facto scripting language for Data
Science and research coding. We'd like this framework to be easily
understood and adopted by these communities.</p>
</li>
<li><h3>Your Python code sucks</h3>
<p>That's not really a question but yeah, this is the first production
Python application we've built. We'll clean it up as we go but we'd
love the code to be better please do fork the github repository and
help us out. The tests could really do with some TLC.</p>
</li>
<li><h3>Do I need a licence?</h3>
<p>A_A is distributed under the <a href="https://www.gnu.org/licenses/gpl-3.0.en.html">GPL v3.0</a></p>
</li>
<li><h3>Do you have any contact details?</h3>
<p>Please feel free to contact us via the project's github repo.<br />
<code>https://github.com/AnalyticsAutomated/analytics_automated</code></p>
</li>
<li><h3>I'm an academic do I need to cite this?</h3>
<p>Yes you do. For now please use the webaddress for the project as per:<br />
<code>D.Buchan, 2015. https://analyticsautomated.github.io/</code></p>
</li>
</ul>
</div>
</div>
<hr>
<footer>
<div class="container">
<div class="row">
<div class="col-md-6 col-md-offset-3 text-center">
<p class="lead">A_A is an Open Source project which is funded in part by the</p>
<p><a href="http://www.bbsrc.ac.uk/"><img src="static/images/bbsrc.jpg"></a></p>
<hr>
<p>Template by <i class="fa fa-heart-o"></i> at <a href="http://www.bootply.com">Bootply</a>.<br></p>
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