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for manual installation targeted at advanced users and developers.
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If you already have Python all set up, you can get IPython with :command:`pip`::
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I already have Python
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---------------------
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If you already have Python installed and are familiar with installing packages, 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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I am getting started with Python
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--------------------------------
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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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**Mac or Windows**
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For new users who want to install a full Python environment for scientific computing and
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data science, we suggest installing the Anaconda or Canopy Python distributions, which provide Python 2.7, IPython and all of its dependences as well as a complete set of open source packages
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for scientific computing and data science.
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1. Download and install `Anaconda <http://continuum.io/downloads.html>`_ or the
1. Download and install Continuum's `Anaconda <http://continuum.io/downloads.html>`_ or the free edition of Enthought's `Canopy <https://www.enthought.com/downloads/>`_.
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2. Update IPython to the current version, using the Terminal/Command Prompt:
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2. Update IPython to the current version using the Terminal:
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Anaconda::
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@@ -38,37 +38,14 @@ free edition of `Enthought Canopy
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enpkg ipython
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**Linux**
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On Linux, most distributions have everything you need in their package
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managers.
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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
<h2>I am getting started with Python<aclass="headerlink" href="#i-am-getting-started-with-python" title="Permalink to this headline">¶</a></h2>
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<p>For new users who want to install a full Python environment for scientific computing and
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data science, we suggest installing the Anaconda or Canopy Python distributions, which provide Python 2.7, IPython and all of its dependences as well as a complete set of open source packages
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for scientific computing and data science.</p>
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<olclass="arabic simple">
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<li>Download and install Continuum’s <aclass="reference external" href="http://continuum.io/downloads.html">Anaconda</a> or the free edition of Enthought’s <aclass="reference external" href="https://www.enthought.com/downloads/">Canopy</a>.</li>
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<li>Update IPython to the current version using the Terminal:</li>
<spanid="id1"></span><h2>Downloads<aclass="headerlink" href="#downloads" title="Permalink to this headline">¶</a></h2>
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<p>You can manually download IPython from either<aclass="reference external" href="http://github.com/ipython/ipython/releases">Github</a> or <aclass="reference external" href="http://pypi.python.org/pypi/ipython">PyPI</a>. Those locations contain source
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distributions as well as binary Windows installers, which will be recognized by
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<ttclass="docutils literal"><spanclass="pre">easy_install</span></tt> and <ttclass="docutils literal"><spanclass="pre">pip</span></tt> (for the source ones).</p>
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<p>Our <aclass="reference external" href="http://archive.ipython.org/release">downloads archive</a> also contains all
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IPython releases, including old versions.</p>
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<p>You can manually download IPython from <aclass="reference external" href="http://github.com/ipython/ipython/releases">Github</a> or <aclass="reference external" href="http://pypi.python.org/pypi/ipython">PyPI</a>. To install one of these versions, unpack it and run
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the following from the top-level source directory using the Terminal:</p>
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