| Les deux révisions précédentes Révision précédente Prochaine révision | Révision précédente |
| teaching:progappchim:notions_avancees [2022/04/28 10:20] – [Transformations et manipulations de chaînes (string)] villersd | teaching:progappchim:notions_avancees [2023/05/02 10:36] (Version actuelle) – [Générateurs et "yield"] villersd |
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| ==== Itertools, zip,... ==== | ==== Itertools, zip,... ==== |
| * [[https://medium.com/techtofreedom/7-levels-of-using-the-zip-function-in-python-a4bd22ee8bcd|7 Levels of Using the Zip Function in Python]] | * [[https://medium.com/techtofreedom/7-levels-of-using-the-zip-function-in-python-a4bd22ee8bcd|7 Levels of Using the Zip Function in Python]] |
| | * itertools.cycle() est une méthode utile pour répéter ou parcourir sans fin les éléments d'une liste ou d'une table itérativitertools.accumulate() |
| | * itertools.accumulate prend un itérable et une fonction d'accumulation, puis renvoie un itérateur. |
| | |
| ===== Générateurs et "yield" ===== | ===== Générateurs et "yield" ===== |
| * [[http://fr.openclassrooms.com/informatique/cours/pratiques-avancees-et-meconnues-en-python/les-generateurs-2]] | * [[http://fr.openclassrooms.com/informatique/cours/pratiques-avancees-et-meconnues-en-python/les-generateurs-2]] |
| * [[http://code.activestate.com/recipes/580628-pluggable-python-generators/]] | * [[http://code.activestate.com/recipes/580628-pluggable-python-generators/]] |
| * [[http://www.datadependence.com/2016/08/pythonic-code-video-series-yield-generators/|Processing Large Data Sets With Yield and Generators]] | * [[http://www.datadependence.com/2016/08/pythonic-code-video-series-yield-generators/|Processing Large Data Sets With Yield and Generators]] |
| | * [[https://levelup.gitconnected.com/return-vs-yield-in-python-a-short-comic-f714465a0e92|Return VS Yield in Python — A Short Comic]] Liu Zuo Lin, 04/2023, Medium |
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| |
| ===== Liste en compréhension ===== | ===== Liste en compréhension ===== |
| * [[https://gist.github.com/bearfrieze/a746c6f12d8bada03589]] | * [[https://gist.github.com/bearfrieze/a746c6f12d8bada03589]] |
| * [[https://medium.com/code-85/a-beginners-guide-to-python-list-comprehensions-7dbb0039f065|A Beginner’s Guide to Python List Comprehensions]] (Jonathan Hsu, Medium, 23/04/2020) | * [[https://medium.com/code-85/a-beginners-guide-to-python-list-comprehensions-7dbb0039f065|A Beginner’s Guide to Python List Comprehensions]] (Jonathan Hsu, Medium, 23/04/2020) |
| | * [[https://iam-akshay.medium.com/python-one-liner-superb-tricks-c611aad98553|Python one-liner superb tricks]] Akshay Jain, Medium, 16/04/2022 |
| | * [[https://theanup.medium.com/10-powerful-python-one-liners-for-daily-use-8733dac0bc2c|15 Powerful Python One-Liners for Daily Use]] Anup Das, Medium, 22/11/2022 |
| | |
| | ==== One-line if - then - else (ternary operator) ==== |
| | <code python> |
| | u = 10 |
| | v = 100 |
| | reponse = "u plus grand que v" if u > v else "v plus grand ou égal à u" |
| | print(reponse) |
| | </code> |
| | |
| |
| ===== map, filter, reduce, lambda, pipe ===== | ===== map, filter, reduce, lambda, pipe ===== |
| * [[https://towardsdatascience.com/write-clean-python-code-using-pipes-1239a0f3abf5|Write Clean Python Code Using Pipes - A Short and Clean Approach to Processing Iterables]] Khuyen Tran, medium, october 2021 | * [[https://towardsdatascience.com/write-clean-python-code-using-pipes-1239a0f3abf5|Write Clean Python Code Using Pipes - A Short and Clean Approach to Processing Iterables]] Khuyen Tran, medium, october 2021 |
| | * [[https://towardsdatascience.com/comparing-list-comprehensions-vs-built-in-functions-in-python-which-is-better-1e2c9646fafe|Comparing List Comprehensions vs. Built-In Functions in Python: Which Is Better? |
| | An in-depth analysis of syntax, readability, and performance]] Thomas A Dorfer, Medium, 21/03/2023 |
| * ... | * ... |
| | |
| | ===== Walrus operator ===== |
| | FIXME |
| |
| ===== Le rôle du caractère underscore en Python ===== | ===== Le rôle du caractère underscore en Python ===== |