Speed Up your Python Apps with Caching

In this video we look at how to implement caching for functions, class properties and class methods to improve time performance. We also look at some of the associated caveats, and where you need to be a bit more careful. #mathbyteacademy #python Content ======= 00:00 - Introduction 07:18 - Caching from First Principles 14:51 - Python's LRU Cache and the @lru_cache Decorator 19:08 - Python's @ache decorator 19:43 - Caveats and Finer Details of the LRU Cache 22:52 - Caching Class Properties 27:09 - Cached Properties and Mutability Caveats 35:49 - Caching Class Methods using the LRU Cache 42:41 - Conclusion and 3rd Party Library for more options Code for this Video =================== Available in GitHub blog repo: https://github.com/fbaptiste/python-blog Direct link: https://tinyurl.com/yrnka7y4 My Python Courses ================= Python 3 Fundamentals (introduction to Python) https://www.udemy.com/course/python3-... Python 3 Deep Dive (Part 1 - Functional) https://www.udemy.com/course/python-3... Python 3 Deep Dive (Part 2 - Iteration, Generators) https://www.udemy.com/course/python-3... Python 3 Deep Dive (Part 3 - Hash Maps) https://www.udemy.com/course/python-3... Python 3 Deep Dive (Part 4 - OOP) https://www.udemy.com/course/python-3...