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	<div class="section" id="installation">
	<span id="id1"></span><h1>Installation<a class="headerlink" href="#installation" title="Permalink to this headline">¶</a></h1>
	<p>The SymPy CAS can be installed on virtually any computer with Python 2.5 or
	above. SymPy does not require any special Python modules: let us know if you
	have any problems with SymPy on a standard Python install. The current
	recommended method of installation is directly from the source files.
	Alternatively, executables are available for Windows, and some Linux
	distributions have SymPy packages available.</p>
	<div class="section" id="source">
	<h2>Source<a class="headerlink" href="#source" title="Permalink to this headline">¶</a></h2>
	<p>SymPy currently recommends that users install directly from the source files.
	You will first have to download the source files via the archive. Download the
	latest release (tar.gz) from the <a class="reference external" href="https://code.google.com/p/sympy/downloads/list">downloads site</a> and open it with your
	operating system’s standard decompression utility.</p>
	<p>When downloading the archive, make sure to get the correct version (Python 2 or
	Python 3). If you’re not sure which one to use, you probably want the Python 2
	version. Note that you can install both if you want.</p>
	<p>After the download is complete, you should have a folder called “sympy”. From
	your favorite command line terminal, change directory into that folder and
	execute the following:</p>
	<div class="highlight-python"><pre>$ python setup.py install</pre>
	</div>
	<p>Alternatively, if you don’t want to install the package onto your computer, you
	may run SymPy with the “isympy” console (which automatically imports SymPy
	packages and defines common symbols) by executing within the “sympy” folder:</p>
	<div class="highlight-python"><pre>$ ./bin/isympy</pre>
	</div>
	<p>You may now run SymPy statements directly within the Python shell:</p>
	<div class="highlight-python"><div class="highlight"><pre><span class="gp">>>> </span><span class="kn">from</span> <span class="nn">__future__</span> <span class="kn">import</span> <span class="n">division</span>
	<span class="gp">>>> </span><span class="kn">from</span> <span class="nn">sympy</span> <span class="kn">import</span> <span class="o">*</span>
	<span class="gp">>>> </span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">z</span><span class="p">,</span> <span class="n">t</span> <span class="o">=</span> <span class="n">symbols</span><span class="p">(</span><span class="s">'x y z t'</span><span class="p">)</span>
	<span class="gp">>>> </span><span class="n">k</span><span class="p">,</span> <span class="n">m</span><span class="p">,</span> <span class="n">n</span> <span class="o">=</span> <span class="n">symbols</span><span class="p">(</span><span class="s">'k m n'</span><span class="p">,</span> <span class="n">integer</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>
	<span class="gp">>>> </span><span class="n">f</span><span class="p">,</span> <span class="n">g</span><span class="p">,</span> <span class="n">h</span> <span class="o">=</span> <span class="n">symbols</span><span class="p">(</span><span class="s">'f g h'</span><span class="p">,</span> <span class="n">cls</span><span class="o">=</span><span class="n">Function</span><span class="p">)</span>
	<span class="gp">>>> </span><span class="k">print</span> <span class="n">diff</span><span class="p">(</span><span class="n">x</span><span class="o">**</span><span class="mi">2</span><span class="o">/</span><span class="mi">2</span><span class="p">,</span> <span class="n">x</span><span class="p">)</span>
	<span class="go">x</span>
	</pre></div>
	</div>
	</div>
	<div class="section" id="git">
	<h2>Git<a class="headerlink" href="#git" title="Permalink to this headline">¶</a></h2>
	<p>If you are a developer or like to get the latest updates as they come, be sure
	to install from git. To download the repository, execute the following from the
	command line:</p>
	<div class="highlight-python"><pre>$ git clone git://github.com/sympy/sympy.git</pre>
	</div>
	<p>Then, execute either the setup.py or the bin/isympy scripts as demonstrated
	above.</p>
	<p>To update to the latest version, go into your repository and execute:</p>
	<div class="highlight-python"><pre>$ git pull origin master</pre>
	</div>
	<p>If you want to install SymPy, but still want to use the git version, you can run
	from your repository:</p>
	<div class="highlight-python"><pre>$ setupegg.py develop</pre>
	</div>
	<p>This will cause the installed version to always point to the version in the git
	directory.</p>
	<p>If you’re using the git repository with Python 3, you have to use the
	<tt class="docutils literal"><span class="pre">./bin/use2to3</span></tt> script to build the Python 3 version of SymPy. This will put
	everything in the py3k-sympy directory.</p>
	</div>
	<div class="section" id="anaconda">
	<h2>Anaconda<a class="headerlink" href="#anaconda" title="Permalink to this headline">¶</a></h2>
	<p>Although SymPy does not have any hard dependencies, many nice features are
	only enabled when certain libraries are installed. For example, without
	Matplotlib, only simple text-based plotting is enabled. With the IPython
	notebook or qtconsole, you can get nicer <span class="math">$\LaTeX$</span> printing by running
	<tt class="docutils literal"><span class="pre">%loadext</span> <span class="pre">sympy.interactive.ipythonprinting</span></tt>. An easy way to get all these
	libraries in addition to SymPy is to install <a class="reference external" href="http://continuum.io/downloads.html">Anaconda</a>, which is a free Python distribution
	from Continuum Analytics that includes SymPy, Matplotlib, IPython, NumPy, and
	many more useful packages for scientific computing.</p>
	</div>
	<div class="section" id="other-methods">
	<h2>Other Methods<a class="headerlink" href="#other-methods" title="Permalink to this headline">¶</a></h2>
	<p>An installation executable is available for Windows users at the
	<a class="reference external" href="https://code.google.com/p/sympy/downloads/list">downloads site</a> (.exe). In addition, various Linux distributions have SymPy
	available as a package. Others are strongly encouraged to download from source
	(details above).</p>
	</div>
	<div class="section" id="run-sympy">
	<h2>Run SymPy<a class="headerlink" href="#run-sympy" title="Permalink to this headline">¶</a></h2>
	<p>After installation, it is best to verify that your freshly-installed SymPy
	works. To do this, start up Python and import the SymPy libraries:</p>
	<div class="highlight-python"><pre>$ python
	>>> from sympy import *</pre>
	</div>
	<p>From here, execute some simple SymPy statements like the ones below:</p>
	<div class="highlight-python"><div class="highlight"><pre><span class="gp">>>> </span><span class="n">x</span> <span class="o">=</span> <span class="n">Symbol</span><span class="p">(</span><span class="s">'x'</span><span class="p">)</span>
	<span class="gp">>>> </span><span class="n">limit</span><span class="p">(</span><span class="n">sin</span><span class="p">(</span><span class="n">x</span><span class="p">)</span><span class="o">/</span><span class="n">x</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
	<span class="go">1</span>
	<span class="gp">>>> </span><span class="n">integrate</span><span class="p">(</span><span class="mi">1</span><span class="o">/</span><span class="n">x</span><span class="p">,</span> <span class="n">x</span><span class="p">)</span>
	<span class="go">log(x)</span>
	</pre></div>
	</div>
	<p>For a starter guide on using SymPy effectively, refer to the <a class="reference internal" href="tutorial/index.html#tutorial"><em>SymPy Tutorial</em></a>.</p>
	</div>
	<div class="section" id="questions">
	<h2>Questions<a class="headerlink" href="#questions" title="Permalink to this headline">¶</a></h2>
	<p>If you have a question about installation or SymPy in general, feel free to
	visit the IRC channel at irc.freenode.net, channel <a class="reference external" href="irc://irc.freenode.net/sympy">#sympy</a>. In addition,
	our <a class="reference external" href="http://groups.google.com/group/sympy">mailing list</a> is an excellent source of community support.</p>
	<p>If you think there’s a bug or you would like to request a feature, please open
	an <a class="reference external" href="http://code.google.com/p/sympy/issues/list">issue ticket</a>.</p>
	</div>
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	<h3><a href="index.html">Table Of Contents</a></h3>
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	<li><a class="reference internal" href="#">Installation</a><ul>
	<li><a class="reference internal" href="#source">Source</a></li>
	<li><a class="reference internal" href="#git">Git</a></li>
	<li><a class="reference internal" href="#anaconda">Anaconda</a></li>
	<li><a class="reference internal" href="#other-methods">Other Methods</a></li>
	<li><a class="reference internal" href="#run-sympy">Run SymPy</a></li>
	<li><a class="reference internal" href="#questions">Questions</a></li>
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