Web Reference: In this guide, we solve Leetcode #146 LRU Cache in Python and focus on the core idea that makes the solution efficient. You will see the intuition, the step-by-step method, and a clean Python implementation you can use in interviews. Jul 12, 2025 · It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions. We can use a doubly linked list where key-value pairs are stored as nodes, with the least recently used (LRU) node at the head and the most recently used (MRU) node at the tail. Whenever a key is accessed using get () or put (), we remove the corresponding node and reinsert it at the tail.
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