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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<title>Documentation — PyDy Website</title>
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<p>
<div class="section" id="documentation">
<h1>Documentation<a class="headerlink" href="#documentation" title="Permalink to this headline">¶</a></h1>
<div class="section" id="general">
<h2>General<a class="headerlink" href="#general" title="Permalink to this headline">¶</a></h2>
<p>If you are familiar with <a class="reference external" href="http://scipy.org/">scientific computing</a> and
<a class="reference external" href="http://sympy.org">symbolic manipulation</a> with Python you should start with
the SymPy vector/mechanics documentation and the PyDy documentation:</p>
<ul class="simple">
<li><a class="reference internal" href="examples/commands.html"><em>Commands</em></a></li>
<li><a class="reference external" href="http://docs.sympy.org/latest/modules/physics/vector/index.html">Symbolic Vectors [SymPy Docs]</a></li>
<li><a class="reference external" href="http://docs.sympy.org/latest/modules/physics/mechanics/index.html">Symbolic Dynamics [SymPy Docs]</a></li>
<li><a class="reference external" href="http://pydy.readthedocs.org">PyDy Documentation</a></li>
</ul>
<p>If you aren’t familiar with scientific computing with Python there are many
sources to learn. You can start with the Python programming language itself,
with the canonical source being the <a class="reference external" href="https://docs.python.org">Python Documentation</a>. The <a class="reference external" href="http://www.scipy-lectures.org/">SciPy Lectures</a> are a great intro to scientific computing
with Python. Finally, to learn about how to do symbolic manipulation with
SymPy, check out the <a class="reference external" href="http://docs.sympy.org">SymPy Documentation</a>, especially
the tutorial.</p>
</div>
<div class="section" id="tutorials">
<h2>Tutorials<a class="headerlink" href="#tutorials" title="Permalink to this headline">¶</a></h2>
<p>We have a couple of tutorials. The human standing tutorial takes you through an
entire workflow for a dynamics and control problem and is a good place to
start.</p>
<ul class="simple">
<li><a class="reference internal" href="examples/beginners_tutorial.html"><em>Beginner’s Tutorial</em></a></li>
<li><a class="reference external" href="https://github.com/pydy/pydy-tutorial-human-standing">Human Balance Tutorial</a></li>
</ul>
</div>
<div class="section" id="examples">
<h2>Examples<a class="headerlink" href="#examples" title="Permalink to this headline">¶</a></h2>
<p>There are additionally a variety of examples which can be found here:</p>
<ul class="simple">
<li><a class="reference internal" href="examples/double_pendulum.html"><em>Double Pendulum</em></a></li>
<li><a class="reference internal" href="examples/chaos_pendulum.html"><em>Chaos Pendulum</em></a></li>
<li><a class="reference external" href="http://docs.sympy.org/latest/modules/physics/mechanics/examples.html">Symbolic Dynamics Examples</a></li>
<li><a class="reference external" href="https://github.com/pydy/pydy/tree/master/examples">The PyDy Example Repository</a></li>
<li><a class="reference external" href="http://www.moorepants.info/blog/npendulum.html">N Link Pendulum</a> (also in the PyDy example repo)</li>
<li><a class="reference external" href="https://github.com/hazelnusse/bicycle.model">A bicycle model</a></li>
</ul>
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<li><a href="blog/2016/0-3-1-release-announcement.html">06 Jan, 2016 - PyDy 0.3.1 Has Been Released</a></li>
<li><a href="blog/2015/0-3-0-release-announcement.html">18 Jun, 2015 - PyDy 0.3.0 Has Been Released</a></li>
<li><a href="blog/2015/gsoc-announcement.html">11 Mar, 2015 - PyDy will participate in Google Summer of Code 2015</a></li>
<li><a href="blog/2014/feb2014.html">12 Feb, 2014 - Google Summer of Code 2014</a></li>
<li><a href="blog/2014/scipy2014.html">22 Jan, 2014 - PyDy at SciPy 2014</a></li>
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