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1. www.geeksforgeeks.org › lru-cache-implementationComplete Tutorial on LRU Cache with Implementations

   www.geeksforgeeks.org › lru-cache-implementation

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   Mar 29, 2024 · Learn what is LRU cache, how it works, and how to implement it using different data structures. See the advantages, disadvantages, and real-world applications of LRU cache.

   • Video Duration: 10 min

2. leetcode.com › problems › lru-cacheLRU Cache - LeetCode

   leetcode.com › problems › lru-cache

   Design a data structure that follows the constraints of a Least Recently Used (LRU) cache. Implement the LRUCache class with get and put methods that run in O(1) time complexity. See example, explanation and code.

3. www.baeldung.com › java-lru-cacheHow to Implement LRU Cache in Java | Baeldung

   www.baeldung.com › java-lru-cache

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   Jun 20, 2024 · Learn about the LRU cache algorithm and its features, and see how to implement it in Java using HashMap and DoublyLinkedList. The tutorial covers the cache interface, operations, and examples.

4. www.geeksforgeeks.org › design-a-data-structureDesign a data structure for LRU Cache - GeeksforGeeks

   www.geeksforgeeks.org › design-a-data-structure

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   Jan 4, 2024 · Learn how to implement a LRU cache using an array, a hash map and a doubly linked list. A LRU cache is a data structure that stores the most recently used keys and values and evicts the least recently used ones when full.

5. www.geeksforgeeks.org › problems › lru-cacheLRU Cache | Practice | GeeksforGeeks

   www.geeksforgeeks.org › problems › lru-cache

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   Learn how to design and implement a LRU cache data structure that supports get and set operations. A LRU cache is a cache that evicts the least recently used item when it reaches its capacity.

6. realpython.com › lru-cache-pythonCaching in Python Using the LRU Cache Strategy

   realpython.com › lru-cache-python

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   Learn how to use the @lru_cache decorator to implement the Least Recently Used (LRU) cache strategy in Python. The LRU cache evicts the least recently used entries from the cache to make room for new ones and improve performance.

7. People also ask

   What is LRU_cache in Python?

   • Python’s functools module comes with the @lru_cache decorator, which gives you the ability to cache the result of your functions using the Least Recently Used (LRU) strategy. This is a simple yet powerful technique that you can use to leverage the power of caching in your code. In this tutorial, you’ll learn:

   Caching in Python Using the LRU Cache Strategy – Real Python

   realpython.com/lru-cache-python/

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   What is LRU cache in Java?

   • Hitting data in the cache must be done in constant time, which isn’t possible in Queue! But, it is possible with Java’s HashMap data structure So, the LRU cache is nothing but a combination of the DoublyLinkedList and the HashMap as shown below: The idea is to keep the keys on the Map for quick access to data within the Queue.

   How to Implement LRU Cache in Java | Baeldung

   www.baeldung.com/java-lru-cache

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   How to design a data structure for LRU cache?

   • Design a data structure for LRU Cache. It should support the following operations: get and set. get (key) – Get the value (will always be positive) of the key if the key exists in the cache, otherwise return -1. set (key, value) – Set or insert the value if the key is not already present.

   Design a data structure for LRU Cache - GeeksforGeeks

   www.geeksforgeeks.org/design-a-data-structure-for-lru-cache/

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   What if a key exceeds the capacity of LRU cache?

   • put (key, value): Update the value of the key if that key exists, Otherwise, add key-value pair to the cache. If the number of keys exceeded the capacity of LRU cache then dismiss the least recently used key. Let’s suppose we have an LRU cache of capacity 3, and we would like to perform following operations:

   Complete Tutorial on LRU Cache with Implementations

   www.geeksforgeeks.org/lru-cache-implementation/

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8. docs.python.org › 3 › libraryfunctools — Higher-order functions and operations ... - Python

   docs.python.org › 3 › library

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   1 day ago · @ functools. lru_cache (user_function) ¶ @ functools. lru_cache (maxsize = 128, typed = False) Decorator to wrap a function with a memoizing callable that saves up to the maxsize most recent calls. It can save time when an expensive or I/O bound function is periodically called with the same arguments.