Références supplémentaires
==========================

Voici une liste très partielle de documents Python disponibles en
ligne. La majorité des liens sont en anglais, quelques-uns |fr| sont
en français.

Documentation générale
----------------------

- `Python <https://www.python.org/>`_
- `Python Documentation <https://docs.python.org/3/>`_ |en|
- `Documentation Python <https://docs.python.org/fr/3/>`_ |fr|
- `Python Wiki <https://wiki.python.org/moin/>`_
- :doc:`Python Frequently Asked Questions <python:faq/index>`
- `The Python Package Index <https://pypi.org>`_

Listes de liens
---------------

- `Python facile
  <http://pythonfacile.free.fr/python/ressources.html>`_ (2005) |fr|
- `Python: quelques références, trucs et astuces:
  <https://dvillers.umons.ac.be/wiki/floss:python>`_ (2014) |fr|
- `Improving your programming style in Python
  <http://gael-varoquaux.info/programming/improving-your-programming-style-in-python.html>`_ (2014)
- `Starter Kit (py4science)
  <http://fperez.org/py4science/starter_kit.html>`_ (2010)
- `Learning Python For Data Science
  <https://pythontips.com/2016/02/27/learning-python-for-data-science/>`_ (2016)
- `Awesome Python <https://awesome-python.com/>`_
- `Real Python tutorials <https://realpython.com/>`_

.. rubric:: ipython

- `IPython tutorial
  <http://ipython.org/ipython-doc/stable/interactive/tutorial.html>`_
- `IPython cookbook <https://github.com/ipython/ipython/wiki/Cookbook%3A-Index>`_
- `IPython en ligne <https://www.pythonanywhere.com/try-ipython/>`_
- `IPython quick refsheet
  <http://damontallen.github.io/IPython-quick-ref-sheets/>`_

.. rubric:: Expressions rationnelles

- `regex tester <https://regex101.com/>`_

  .. rubric:: Python 3.x

- `10 awesome features of Python that you can't use because you refuse
  to upgrade to Python 3
  <http://www.asmeurer.com/python3-presentation/slides.html>`_

Livres libres
-------------

- `How to Think Like a Computer Scientist
  <http://www.greenteapress.com/thinkpython/thinkpython.html>`_

  * `Wikibook <https://en.wikibooks.org/wiki/Think_Python>`_
  * `Interactive edition
    <http://interactivepython.org/runestone/static/thinkcspy/index.html>`_

- `Dive into Python <http://www.diveintopython.net/>`_
- `10 Free Python Programming Books
  <http://www.coderholic.com/free-python-programming-books/>`_

- `A Python Book <http://www.davekuhlman.org/python_book_01.html>`_
- `Start Programming with Python <http://python-ebook.blogspot.fr/>`_
- `Learn Python the Hard Way <https://learnpythonthehardway.org/>`_
- `Python for Informatics: Exploring Information <http://www.pythonlearn.com/>`_
- `Intermediate Python <http://book.pythontips.com/en/latest/>`_
- `The Best Python Books <https://realpython.com/best-python-books/>`_

- `Apprendre à programmer avec Python <http://inforef.be/swi/python.htm>`_ |fr|
- `Programmation Python
  <https://fr.wikibooks.org/wiki/Programmation_Python>`_ |fr|

Cours en ligne
--------------

Python
......

- :doc:`Python Tutorial <python:tutorial/index>` (v3.7)
- :rtfd:`Python 3 Patterns, Recipes and Idioms <python-3-patterns-idioms-test>`
- `Apprenez à programmer en Python
  <https://openclassrooms.com/courses/apprenez-a-programmer-en-python>`_
- `Débuter avec Python au lycée <http://python.lycee.free.fr/>`_ |fr|
- `Présentation de Python
  <http://python.developpez.com/tutoriels/cours-intensif-scientifique/presentation-debuter/>`_ |fr|
- `Introduction à Python pour la programmation scientifique
  <http://www.courspython.com/sommaire.html>`_ |fr|

- `Google's Python Class <https://developers.google.com/edu/python/>`_
- `Begginer's Guide <https://wiki.python.org/moin/BeginnersGuide>`_
- `DIY python workshop
  <http://www.astrobetter.com/wiki/tiki-index.php?page=Python+Tutorial+For+Astronomers+Who+Use+IDL>`_
- `Google's Python Class <https://developers.google.com/edu/python/>`_
- `CheckIO <https://checkio.org/>`_, pour apprendre la programmation Python en
  s'amusant !
- `Python Programming <https://www.codecademy.com/learn/python>`_ (Code Academy)
- Tutoriaux *Zeste de savoir* |fr|: `programmation orientée objet
  <https://zestedesavoir.com/tutoriels/1253/la-programmation-orientee-objet-en-python/>`_,
  `notions avancées
  <https://zestedesavoir.com/tutoriels/954/notions-de-python-avancees/>`_,

Scientifique
............

- :rtfd:`Scipy Cookbook <scipy-cookbook>` (inclut `numpy`, `scipy`,
  `matplotlib`, etc.)
- `Python Scientific Lecture Notes <http://www.scipy-lectures.org/>`_
- `Handbook of the Physics Computing Course
  <http://www-teaching.physics.ox.ac.uk/computing/handbook_Python/handbook_Python.html>`_
  (Oxford, 2003)
- `Practical Scientific Computing in Python
  <https://www.scribd.com/document/56265218/py4science>`_
- `Computational Physics with Python
  <http://www-personal.umich.edu/~mejn/computational-physics/>`_ (avec
  exercices)
- *SciPy tutorials* (`numpy`, `scipy`, `matplotlib`, `ipython`): `2011
  <http://conference.scipy.org/scipy2011/tutorials.php>`_, `2012
  <http://conference.scipy.org/scipy2012/tutorials.php>`_, `2013
  <http://conference.scipy.org/scipy2013/tutorials.php>`_,

- `Advance Scientific Programming in Python <https://python.g-node.org/wiki/>`_
- `Lectures on Computational Economics <http://lectures.quantecon.org/>`_
  (avec exercices)
- `Intro to Python for Data Science
  <https://www.datacamp.com/courses/intro-to-python-for-data-science>`_
  (DataCamp avec vidéos et exercices)
- `Python for Data Science
  <http://nbviewer.jupyter.org/github/gumption/Python_for_Data_Science/blob/master/Python_for_Data_Science_all.ipynb>`_
- `Learning Python For Data Science
  <https://pythontips.com/2016/02/27/learning-python-for-data-science/>`_
- `Computational Statistics in Python
  <https://people.duke.edu/~ccc14/sta-663/index.html>`_
- `Python Data Science Handbook
  <https://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/Index.ipynb>`_
- `An Introduction To Machine Learning
  <https://github.com/cbernet/introduction_machine_learning>`_

.. rubric:: En français

- `Formation à Python scientifique <http://python-prepa.github.io/>`_ |fr|
- `NumPy et SciPy
  <http://python.developpez.com/tutoriels/cours-intensif-scientifique/module-numpy-scipy/>`_
  |fr|
- `Introduction à la programmation Python pour la biologie
  <https://python.sdv.univ-paris-diderot.fr/>`_ |fr|

.. rubric:: Astrophysique et physique des hautes énergies

- `Practical Python for Astronomers <https://python4astronomers.github.io/>`_
- `Astropy tutorials <http://www.astropy.org/astropy-tutorials/>`_
- `Python for Astronomers <https://prappleizer.github.io/>`_
- `Python for Euclid 2016 <https://github.com/aboucaud/python-euclid2016>`_
- Advanced software programming for astrophysics and astroparticle physics,
  *ASTERICS-OBELICS International School*, `2017
  <https://indico.in2p3.fr/event/14227/>`_, `2018
  <https://indico.in2p3.fr/event/16864/>`_

*Snippets*
..........

- `Python cheatsheets <https://www.pythonsheets.com/>`_

.. |fr| image:: ../_static/france_flag_icon.png
   :alt: Fr
.. |en| image:: ../_static/uk_flag_icon.png
   :alt: En