| Les deux révisions précédentes Révision précédente Prochaine révision | Révision précédente |
| teaching:progappchim:notions_avancees [2023/03/22 09:29] – villersd | teaching:progappchim:notions_avancees [2023/05/02 10:36] (Version actuelle) – [Générateurs et "yield"] villersd |
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| * [[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 ===== |
| ===== 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 |
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