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Scipy Lecture Notes

.. only:: html

   One document to learn numerics, science, and data with Python
   --------------------------------------------------------------

div.documentwrapper h1 { text-align: center; font-size: 280% ; font-weight: bold; margin-bottom: 4px; } div.documentwrapper h2 { background-color: white; border: none; font-size: 130%; text-align: center; margin-bottom: 40px; margin-top: 4px; } a.headerlink:after { content: ""; } div.sidebar { margin-right: -20px; margin-top: -10px; border-radius: 6px; font-family: FontAwesome, sans-serif; min-width: 200pt; } div.sidebar ul { list-style: none; text-indent: -3ex; color: #555; } div.sidebar li { margin-top: .5ex; } div.preface { margin-top: 20px; }
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    .. sidebar::  Download

       * |pdf| `PDF, 2 pages per side <./_downloads/ScipyLectures.pdf>`_

       * |pdf| `PDF, 1 page per side <./_downloads/ScipyLectures-simple.pdf>`_

       * |archive| `HTML and example files <https://github.com/scipy-lectures/scipy-lectures.github.com/zipball/master>`_

       * |github| `Source code (github) <https://github.com/scipy-lectures/scipy-lecture-notes>`_


    Tutorials on the scientific Python ecosystem: a quick introduction to
    central tools and techniques. The different chapters each correspond
    to a 1 to 2 hours course with increasing level of expertise, from
    beginner to expert.

    .. rst-class:: preface

        .. toctree::
            :maxdepth: 2

            preface.rst


.. rst-class:: tune

  .. toctree::
    :numbered:

    intro/index.rst
    advanced/index.rst
    packages/index.rst


.. only:: html

 .. raw:: html

   <div style='display: none; height=0px;'>

 :download:`ScipyLectures.pdf` :download:`ScipyLectures-simple.pdf`

 .. image:: themes/plusBox.png

 .. image:: images/logo.svg

 .. raw:: html

   </div>
   </small>