LRU Cache - Python3 Walkthrough & Solution

Web Reference: LRU究竟是最近最久未使用算法，还是最近最少使用，发现网上两种说发都有？ 首先想确定LRU到底是什么意思，《操作系统》教材上也很奇怪，标题是两种翻译，下面正文只写了一种（最近最久未使用）。 当LRU被翻译成最近最少使用的时候，… 显示全部 关注者 31 （2）每个Redis请求，LRU的双向链表也需要进行同步操作，这种实现方式对性能影响不小。 而Redis本身实现的“近似LRU”算法，则远远不需要付出这么大的内存和性能代价，但也牺牲了一些内存淘汰的准确率。 LRU LRU（Least Recently Used）是一种缓存置换算法。即优先丢弃最近不常用的缓存项。LRU的实现相对而言比较简单，可以将缓存项按照访问时间排序，当新的缓存项加入时可以以O (1)的时间复杂度找到并丢弃最近不常用的缓存项。LRUCache可以认为是将LRU作为缓存置换算法的缓存（不过一般可以不需要区分 ...

YouTube Excerpt: Let's talk about the nuances of relying on Python's ease of use in a coding interview. Today, we're looking at the LRU Cache Problem solved by the built-in Python dictionary, which is now ordered! After talking about if using a built in-dictionary that IS ordered is valid or not, let's solve it together so you know how to tackle it in a live technical interview with an INTUITIVE, concept-based answer. Not straight math thrown at your face. WANT TO SEE A PROBLEM EXPLAINED? DROP A COMMENT BELOW! MERCH: https://store.streamelements.com/itsbaober Support the channel: https://www.youtube.com/channel/UC5akxkiQHpxCzPZWskdBbQQ/join 00:00 - 01:31 Introduction 1:31 - 3:51 Should you rely on built-ins? 3:51 - 10:04 Solving the LRU Cache 10:04 - 14:34 Neat Iterable Trick

Let's talk about the nuances of relying on Python's ease of use in a coding interview. Today, we're looking at the LRU Cache Problem solved by the...

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