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<li class="toctree-l1"><a class="reference internal" href="tutorial/getting_started.html">Getting started with <code class="docutils literal"><span class="pre">mpl-probscale</span></code></a></li>
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<div class="section" id="installation">
<h1>Installation<a class="headerlink" href="#installation" title="Permalink to this headline">¶</a></h1>
<div class="section" id="stable-release">
<h2>Stable release<a class="headerlink" href="#stable-release" title="Permalink to this headline">¶</a></h2>
<p>To install mpl-probscale, run this command in your terminal:</p>
<div class="highlight-console"><div class="highlight"><pre><span></span><span class="gp">$</span> pip install probscale
</pre></div>
</div>
<p>This is the preferred method to install mpl-probscale, as it will always install the most recent stable release.</p>
<p>If you don’t have <a class="reference external" href="https://pip.pypa.io">pip</a> installed, this <a class="reference external" href="http://docs.python-guide.org/en/latest/starting/installation/">Python installation guide</a> can guide
you through the process.</p>
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<div class="section" id="from-sources">
<h2>From sources<a class="headerlink" href="#from-sources" title="Permalink to this headline">¶</a></h2>
<p>The sources for mpl-probscale can be downloaded from the <a class="reference external" href="https://github.com/matplotlib/mpl-probscale">Github repo</a>.</p>
<p>You can either clone the public repository:</p>
<div class="highlight-console"><div class="highlight"><pre><span></span><span class="gp">$</span> git clone git://github.com/matplotlib/mpl-probscale
</pre></div>
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<p>Or download the <a class="reference external" href="https://github.com/matplotlib/mpl-probscale/tarball/master">tarball</a>:</p>
<div class="highlight-console"><div class="highlight"><pre><span></span><span class="gp">$</span> curl -OL https://github.com/matplotlib/mpl-probscale/tarball/master
</pre></div>
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<p>Once you have a copy of the source, you can install it with:</p>
<div class="highlight-console"><div class="highlight"><pre><span></span><span class="gp">$</span> pip install .
</pre></div>
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