PYTHON Caching - Working with LRU_CACHE to optimize the program
Working with the cache (lru_cache) to optimize the program
📗 All links to useful materials are below 📗
In this video, we will look at caching python data from the functools module, which allows you to save a previously obtained result and return it upon repeated request, thereby minimizing resource costs. Any project that contains blocks of code, which in turn can be processed for a rather long time, must use caching technology, this will optimize the program and speed up its execution.
⭐ Free version of Kite: https://bit.ly/3cKz97C
⭐ PyQt5 Python Course: https://pyqt5.ru
⭐ Channel with useful material: https://t.me/codeblog8
📁 Github: https://github.com/Zproger
📁 Website scraping course: https://bit.ly/394VKtG
📁 Selenium Python Course: https://bit.ly/3p669ef
📁 Contact me: [email protected]
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