GitHub - zommiommy/cache_decorator: a simple decorator to cache the results of computationally heavy functions
Santiago on Twitter: "🔟 LRU Cache - Python 3.2+ Using the functools.lru_cache decorator, you can wrap any function with a memoizing callable that implements a Least Recently Used (LRU) algorithm to evict
![Advanced Python: How To Implement Caching In Python Application | by Farhad Malik | FinTechExplained | Medium Advanced Python: How To Implement Caching In Python Application | by Farhad Malik | FinTechExplained | Medium](https://miro.medium.com/v2/resize:fit:671/1*4f9xjNXx1FVXzIoQZ4CdpQ.png)
Advanced Python: How To Implement Caching In Python Application | by Farhad Malik | FinTechExplained | Medium
![Mike Driscoll on Twitter: "Did you know that #Python has a built-in decorator for caching? 🐍🔥 It's in the `functools` module! They call it `lru_cache`. You can set the maximum cache size Mike Driscoll on Twitter: "Did you know that #Python has a built-in decorator for caching? 🐍🔥 It's in the `functools` module! They call it `lru_cache`. You can set the maximum cache size](https://pbs.twimg.com/media/Fq_HeqBX0AAi5fk.jpg:large)