# Other resources ## By the French education and research community Here is a list of Python lessons and courses built for and by the French education and research community. ### In French - [Programmation en Python pour les sciences de la Vie](https://python.sdv.u-paris.fr/) - [Introduction à la programmation Python](https://introductionprogrammationpython.pages.centralesupelec.fr) (https://gitlab.dsi.universite-paris-saclay.fr/IntroductionProgrammationPython/Instructors, https://gitlab-research.centralesupelec.fr/IntroductionProgrammationPython/introductionprogrammationpython.pages.centralesupelec.fr/) - [Un tutoriel Jupyter](https://jupyter.gitlab.dsi.universite-paris-saclay.fr/tutoriel-jupyter/) - https://courspython.com/ - [Un cours d'introduction à la Science des données](https://nicolas.thiery.name/Enseignement/IntroScienceDonnees/) - [INSA 2024 : le GPU par la pratique](https://www.cbp.ens-lyon.fr/doku.php?id=formation:insa2024gpu) - (French) and (English) - [Introduction à Python pour des linguistes](https://loicgrobol.github.io/apprendre-programmer/) - [Cours d’introduction au traitement de textes avec Python](https://github.com/Alex-bzh/compuling) ### In English - [UGA Python Initiation](https://gricad-gitlab.univ-grenoble-alpes.fr/python-uga/py-training-uga) - [UGA Python HPC](https://gricad-gitlab.univ-grenoble-alpes.fr/python-uga/training-hpc) (old) - [Institut Pasteur Python Introduction for biologists](https://hub-courses.pages.pasteur.fr/python_one_week_4_biologists/) - [Python for GPU](https://github.com/MordicusEtCubitus/CoursPython/) - [PythonTraps](https://gitlab.in2p3.fr/informatique-des-deux-infinis/pheniics/python-traps) ([Version un peu plus ancienne](https://tutoriels-jupyter.pages.in2p3.fr/)) - [Un cours sur trois années de Méthodes Numériques](https://methnum.gitlab.dsi.universite-paris-saclay.fr/) - [Gray Scott Reloaded](https://indico.in2p3.fr/event/30939/page/3642-les-jeudis-gray-scott) - [School on numerics for the Extrem gradual school](https://gricad-gitlab.univ-grenoble-alpes.fr/extrem-gs/school-num) ````{note} Do not hesitate to add links in this page! The source is [here](https://foss.heptapod.net/py-edu-fr/py-edu-fr.pages.heptapod.net/-/blob/branch/default/source/resources.md). ```{important} One can modify this page through the Heptpod web interface. However, please start by reading a bit our contributing guide [here](../contribute/website.md). In particular, beware of creating a Heptapod branch in the form `topic/default/my-topic-name`! ``` ```` ## Others ### Official - https://docs.python.org/3/ - https://docs.python.org/3/tutorial/index.html - https://docs.python.org/3/library/index.html - https://packaging.python.org (by the PyPA) ### Fundamental packages - https://numpy.org/ - https://numpy.org/doc/stable/user/absolute_beginners.html - https://matplotlib.org/ - https://matplotlib.org/stable/users/explain/quick_start.html - https://matplotlib.org/stable/gallery/index.html - https://pandas.pydata.org/ - https://pandas.pydata.org/docs/user_guide/10min.html - https://pandas.pydata.org/docs/getting_started/intro_tutorials/index.html - https://scipy.org/ - https://docs.scipy.org/doc/scipy/tutorial/index.html ### Scientific Python - https://lectures.scientific-python.org/ - https://learn.scientific-python.org/development/ ### Software Carpentry - https://swcarpentry.github.io/python-novice-inflammation/ - https://software-carpentry.org/lessons/ - https://carpentries-incubator.org/ ### CodeRefinery - https://coderefinery.org - https://coderefinery.org/lessons/other/ ### pyOpenSci - https://www.pyopensci.org/python-package-guide/ ### RealPython - Le [Hitchhiker's Guide to Python](https://docs.python-guide.org/) semble être maintenu sur l'organisation ReadPython. Il est en [CC BY-NC-SA 3.0](https://creativecommons.org/licenses/by-nc-sa/3.0/) ### ENCCS (from Sweden) - https://enccs.github.io/hpda-python/ - https://enccs.github.io/performance-programming/ ### Individuals french 2 ressources réalisées par des membres de l'[AFPy](https://www.afpy.org/), Association Francophone Python : - [Un zeste de Python](https://zestedesavoir.com/tutoriels/2514/un-zeste-de-python/), [Antoine Rozo](https://zestedesavoir.com/@entwanne), en [CC BY-SA](https://creativecommons.org/licenses/by-sa/4.0/) - [Apprends Python par la pratique sur Genepy](https://genepy.org/) (ex HackInScience), [Julien Palard](https://git.afpy.org/mdk), libre, [code](https://git.afpy.org/mdk/genepy/) licence [MIT](https://opensource.org/license/MIT) ### Individuals english #### General Python - [Level Up Your Python](https://henryiii.github.io/level-up-your-python/notebooks/0%20Intro.html) - Documentation sur la librairie standard plus claire mais plus forcément à jour : [Python module of the week](https://pymotw.com/3/) - Livre [Python 101](https://www.python101.pythonlibrary.org) en ligne, `© Copyright 2017, Michael Driscoll` - Livre [Automate the boring stuff](https://automatetheboringstuff.com/) en ligne, Al Sweigart, contenu en [CC BY-NC-SA 3.0](https://creativecommons.org/licenses/by-nc-sa/3.0/). - autres livres en ligne : - Livre [Test-Driven Development with Python](http://www.obeythetestinggoat.com/pages/book.html) en ligne, Harry Percival, en [CC BY-NC-SA 3.0](https://creativecommons.org/licenses/by-nc-sa/3.0/) - Cours de [Dave Beazley](https://dabeaz.com/) - Introduction à Python : [Practical Python Programming](https://dabeaz-course.github.io/practical-python/), en [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) - An exercise-driven course on Advanced Python Programming: , en [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) - [Architecture patterns with Python](http://www.cosmicpython.com/book/preface.html), code en [CC BY-NC-ND 3.0 US](https://creativecommons.org/licenses/by-nc-nd/3.0/us/legalcode), pour le texte en ligne réutilisation à demander par mail à `permissions@oreilly.com` - [Pydon'ts, Write elegant Python code](https://mathspp.com/blog/pydonts), non libre semble-t-il #### Scientific Python - Livre [Python for Data Analysis](https://wesmckinney.com/book/) en ligne, par l'auteur de [Pandas](https://pandas.pydata.org/), `Copyright 2023, Wes McKinney. All Rights Reserved.` - Livre [Python Data Science Handbook](https://jakevdp.github.io/PythonDataScienceHandbook/) en ligne, Jake VanderPlas, (Numpy, Pandas, Matplotlib, etc). Texte en [CC BY-NC-ND 3.0 US](https://creativecommons.org/licenses/by-nc-nd/3.0/us/legalcode), code en licence [MIT](https://opensource.org/license/MIT) - [A Jupyter Guide to Linear Algebra](https://bvanderlei.github.io/jupyter-guide-to-linear-algebra/intro.html) ### Exercices - [France IOI Python](http://www.france-ioi.org/algo/chapters.php), non libre - , `© Copyright Bernd Klein` (dans les PDF) - , en [CC BY 2.5](https://creativecommons.org/licenses/by/2.5/) - [Futurecoder](https://futurecoder.io/)