Scientific Python Lectures ========================== .. 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 .. Icons from https://fonts.google.com/icons .. |pdf-icon| image:: images/icon-pdf.svg :width: 15em :class: vcenter :alt: PDF icon .. |html-icon| image:: images/icon-archive.svg :width: 15em :class: vcenter :alt: Archive icon .. |github-icon| image:: images/icon-github.svg :width: 15em :class: vcenter :alt: GitHub icon .. only:: html .. sidebar:: Download |pdf-icon| `PDF, 2 pages per side <./_downloads/ScientificPythonLectures.pdf>`_ |pdf-icon| `PDF, 1 page per side <./_downloads/ScientificPythonLectures-simple.pdf>`_ |github-icon| `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:`ScientificPythonLectures.pdf` :download:`ScientificPythonLectures-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')