Scipy Lecture Notes =========================== .. only:: html One document to learn numerics, science, and data with Python -------------------------------------------------------------- .. raw html to center the title .. raw:: html .. nice layout in the toc .. include:: tune_toc.rst .. |pdf| unicode:: U+f1c1 .. PDF file .. |archive| unicode:: U+f187 .. archive file .. |github| unicode:: U+f09b .. github logo .. only:: html .. 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 `_ |github| `Source code (github) `_ 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. Release: |release| .. rst-class:: preface .. toctree:: :maxdepth: 2 preface.rst | .. rst-class:: tune .. toctree:: :numbered: 4 intro/index.rst advanced/index.rst packages/index.rst about.rst | .. FIXME: I need the link below to make sure the banner gets copied to the target directory. .. only:: html .. raw:: html
:download:`ScipyLectures.pdf` :download:`ScipyLectures-simple.pdf` .. image:: themes/plusBox.png .. image:: images/logo.svg .. raw:: html
.. >>> # For doctest on headless environments (needs to happen early) >>> import matplotlib >>> matplotlib.use('Agg')