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Caching in Python With lru_cache – Real Python

learningcode_x1mckf by learningcode_x1mckf
September 5, 2022
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Caching in Python With lru_cache – Real Python
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There are a lot of methods to realize quick and responsive functions. Caching is one strategy that, when used appropriately, makes issues a lot sooner whereas lowering the load on computing sources.

Python’s functools module comes with the @lru_cache decorator, which provides you the flexibility to cache the results of your features utilizing the Least Lately Used (LRU) technique. This can be a easy but highly effective method that you should utilize to leverage the facility of caching in your code.

On this video course, you’ll study:

  • What caching methods can be found and learn how to implement them utilizing Python decorators
  • What the LRU technique is and the way it works
  • The way to enhance efficiency by caching with the @lru_cache decorator
  • The way to broaden the performance of the @lru_cache decorator and make it expire after a particular time

By the tip of this video course, you’ll have a deeper understanding of how caching works and learn how to make the most of it in Python.





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