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Updated website (automated commit)
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‎_sources/install.txt‎

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@@ -12,11 +12,12 @@ 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 users**
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**Mac or Windows**
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Download and install the free edition of the `Enthought Python Distribution
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(EPD) <https://www.enthought.com/products/epd_free.php>`_. You will also need
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to update the IPython notebook installation to the current version:
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1. Download and install the free edition of the `Enthought Python Distribution
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(EPD) <https://www.enthought.com/products/epd_free.php>`_.
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2. Update IPython to the current version:
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* On a Mac, using the Terminal application::
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enpkg enstaller
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enpkg ipython
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**Linux users**
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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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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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# Only if you are interested in data analysis and scientific work
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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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sudo yum install python-ipython-notebook
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* On Fedora 18 and newer related distributions, use::
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# Only if you are interested in data analysis and scientific work
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sudo yum install python-matplotlib scipy python-pandas sympy python-nose
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‎_sources/notebook.txt‎

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@@ -27,17 +27,6 @@ use and configure the system. The `Notebook Gallery`_ showcases many
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interesting notebooks covering a variety of topics, from basic programming to
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advanced scientific computing.
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Here is a short demo of the notebook's basic features by the Pybonacci_ team:
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.. raw:: html
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<div align="center"> <iframe title="YouTube video player2" width="550"
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height="350" src="http://www.youtube.com/embed/H6dLGQw9yFQ" frameborder="0"
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allowfullscreen></iframe></div><br>
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.. _Pybonacci: http://pybonacci.wordpress.com.
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.. _example collection: https://github.com/ipython/ipython/tree/master/examples/notebooks#a-collection-of-notebooks-for-using-ipython-effectively
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.. _documentation: http://ipython.org/ipython-doc/rel-0.13.1/interactive/htmlnotebook.html

‎_sources/videos.txt‎

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height="350" src="http://www.youtube.com/embed/26wgEsg9Mcc" frameborder="0"
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allowfullscreen></iframe></div><br>
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The IPython Notebook
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====================
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A short (5 min) demonstration of the notebook's basic features by the team at
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the Pybonacci_ blog:
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A quick introduction to the notebook running on Amazon with `StarCluster
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<http://web.mit.edu/star/cluster>`_ (8 min) by `Titus Brown
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<http://ivory.idyll.org/blog>`_.
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.. raw:: html
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<div align="center"> <iframe title="YouTube video player2" width="550"
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height="350" src="http://www.youtube.com/embed/H6dLGQw9yFQ" frameborder="0"
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height="350" src="http://www.youtube.com/embed/HaS4NXxL5Qc" frameborder="0"
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allowfullscreen></iframe></div><br>
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.. _Pybonacci: http://pybonacci.wordpress.com.
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IPython in depth: high-productivity interactive and parallel python
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===================================================================
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‎_static/basic.css‎

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font-size: 1em;
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}
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div.sphinxsidebar #searchbox input[type="text"] {
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div.sphinxsidebar input[type="text"] {
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width: 170px;
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}
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div.sphinxsidebar #searchbox input[type="submit"] {
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div.sphinxsidebar input[type="submit"] {
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width: 30px;
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}
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