Web Reference: May 16, 2024 · In this tutorial, we'll learn different techniques for caching in Python, including the @lru_cache and @cache decorators in the functools module. For those of you in a hurry, let's start with a very short caching implementation and then continue with more details. Jul 23, 2025 · In conclusion, we explored a few different ways to use file caching in Python. We spoke about serializing data with pickle and json, storing data persistently using shelve, and performing function-level caching with functools.lru_cache. Caching is an essential optimization technique. In this tutorial, you'll learn how to use Python's @lru_cache decorator to cache the results of your functions using the LRU cache strategy. This is a powerful technique you can use to leverage the power of caching in your implementations.
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