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_sources/install.txt

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@@ -7,7 +7,16 @@ contains `detailed instructions
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<http://ipython.org/ipython-doc/stable/install/install.html>`_ for manual
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installs from source, targeted at advanced users and developers.
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For new users who want to get up and running with minimal effort, we suggest
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If you already have Python all set up, you can get IPython with :command:`pip`::
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pip install ipython
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Or if you want to also get the dependencies for the IPython notebook::
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pip install ipython[notebook]
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For new users who want to get a full scientific Python environment up and running, we suggest
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you follow the instructions on this page, which provide a setup based on Python
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2.7. This includes all the dependencies to run the notebook and optionally the
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basic libraries for scientific computing and data analysis.
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On Linux, most distributions have everything you need in their package
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managers.
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1. Install IPython and its dependencies:
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* On Ubuntu or other Debian-based distributions, type at the shell::
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sudo apt-get install ipython-notebook
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# Optional: Common Python libraries for scientific computing
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sudo apt-get install python-matplotlib python-scipy python-pandas \
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python-sympy python-nose
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* On Fedora 18 and newer related distributions, use::
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sudo yum install python-ipython-notebook
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2. Optionally install additional tools for scientific computing:
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* On Ubuntu or other Debian-based distributions, type at the shell::
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sudo apt-get install python-matplotlib python-scipy \
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python-pandas python-sympy python-nose
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* On Fedora 18 and newer related distributions, use::
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# Optional: Common Python libraries for scientific computing
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sudo yum install python-matplotlib scipy python-pandas sympy python-nose
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.. _downloads:
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Downloads
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---------
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install.html

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@@ -221,7 +221,15 @@ <h1>Installing IPython<a class="headerlink" href="#installing-ipython" title="Pe
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<p>There are multiple ways of installing IPython, and our official documentation
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contains <a class="reference external" href="http://ipython.org/ipython-doc/stable/install/install.html">detailed instructions</a> for manual
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installs from source, targeted at advanced users and developers.</p>
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<p>For new users who want to get up and running with minimal effort, we suggest
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<p>If you already have Python all set up, you can get IPython with <strong class="command">pip</strong>:</p>
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<div class="highlight-python"><div class="highlight"><pre>pip install ipython
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</pre></div>
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</div>
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<p>Or if you want to also get the dependencies for the IPython notebook:</p>
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<div class="highlight-python"><div class="highlight"><pre>pip install ipython[notebook]
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</pre></div>
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</div>
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<p>For new users who want to get a full scientific Python environment up and running, we suggest
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you follow the instructions on this page, which provide a setup based on Python
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2.7. This includes all the dependencies to run the notebook and optionally the
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basic libraries for scientific computing and data analysis.</p>
@@ -245,33 +253,21 @@ <h1>Installing IPython<a class="headerlink" href="#installing-ipython" title="Pe
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<p><strong>Linux</strong></p>
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<p>On Linux, most distributions have everything you need in their package
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managers.</p>
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<ol class="arabic simple">
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<li>Install IPython and its dependencies:</li>
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</ol>
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<ul>
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<li><p class="first">On Ubuntu or other Debian-based distributions, type at the shell:</p>
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<div class="highlight-python"><div class="highlight"><pre>sudo apt-get install ipython-notebook
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# Optional: Common Python libraries for scientific computing
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sudo apt-get install python-matplotlib python-scipy python-pandas \
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python-sympy python-nose
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</pre></div>
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</div>
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</li>
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<li><p class="first">On Fedora 18 and newer related distributions, use:</p>
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<div class="highlight-python"><div class="highlight"><pre>sudo yum install python-ipython-notebook
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</pre></div>
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</div>
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</li>
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</ul>
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<ol class="arabic simple" start="2">
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<li>Optionally install additional tools for scientific computing:</li>
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</ol>
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<ul>
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<li><p class="first">On Ubuntu or other Debian-based distributions, type at the shell:</p>
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<div class="highlight-python"><div class="highlight"><pre>sudo apt-get install python-matplotlib python-scipy \
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python-pandas python-sympy python-nose
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</pre></div>
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</div>
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</li>
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<li><p class="first">On Fedora 18 and newer related distributions, use:</p>
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<div class="highlight-python"><div class="highlight"><pre>sudo yum install python-matplotlib scipy python-pandas sympy python-nose
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# Optional: Common Python libraries for scientific computing
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sudo yum install python-matplotlib scipy python-pandas sympy python-nose
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</pre></div>
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</div>
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</li>

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