What is an LRU Cache and how does it work?
An example of an AI chatbot conversation about LRU Cache concepts and implementations.
What is an LRU Cache and how does it work?
An LRU (Least Recently Used) Cache is a data structure that stores a limited number of items. When the cache reaches its limit, it removes the least recently used item to make space for new ones.
Can you explain how the eviction policy works in an LRU Cache?
Sure! The eviction policy in an LRU Cache removes the item that hasn't been used for the longest time. This ensures that frequently accessed items remain in the cache.
What are some common use cases for LRU Caches?
Common use cases include caching database query results, web page data, and session information in web applications.
How can I implement an LRU Cache in Python?
You can implement an LRU Cache in Python using the collections.OrderedDict or by creating a custom class that maintains the order of usage.
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