Local Caching
Explore local caching techniques in Python, including dictionary-based caches and algorithms like LRU, LFU, and TTL. Learn how to implement and manage cache expiration policies to optimize performance and avoid memory overflow in your applications.
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Local caching has the advantage of being (very) fast, as it does not require access to a remote cache over the network. Usually, caching works by storing cached data under a key that identifies it. This technique makes the Python dictionary the most obvious data structure for implementing a caching mechanism.