Lru cache java

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LRU Cache - Explanation, Java Implementation and Demo

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Explanation and implementation of the LRU (Least Recently Used) Cache in Java. We do a hands on coding using Java and also try to run our cache. This is also one of the very common interview questions asked in software engineering. Link to code: 🤍

LeetCode 146. LRU Cache (Algorithm Explained)

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[Java] Leetcode 146. LRU Cache [Design #1]

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In this video, I'm going to show you how to solve Leetcode 146. LRU Cache which is related to Design. In fact, I also have a whole section of solving leetcode questions and categorize them: 🤍 In the end, you’ll have a really good understanding on how to solve Leetcode 146. LRU Cache and questions that are similar to this Design. Now, if you want to get good at Design, please checkout my Design playlist. 🤍

Implement An LRU Cache - The LRU Cache Eviction Policy ("LRU Cache" on LeetCode)

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Free 5-Day Mini-Course: 🤍 Try Our Full Platform: 🤍 📹 Intuitive Video Explanations 🏃 Run Code As You Learn 💾 Save Progress ❓New Unseen Questions 🔎 Get All Solutions Subscribe To Live Tech Offers: 🤍 Join Our Coaching Service: 🤍 Question: Implement an LRU Cache. It is a cache replacement policy that says to evict the least recently used item in the cache. Every time an item is used it goes to the "front" of the cache since it has been used and has priority. Items that are not used will go to the "end" of the cache eventually and get evicted since they are the least used items, they never got a bump up by being used. Additional Cache Eviction Policies: 🤍 What is a Cache? A cache is a hardware or software component that stores data so that future requests for that data can be served faster; the data stored in a cache might be the result of an earlier computation or a copy of data stored elsewhere. What Is An LRU Cache? So a LRU Cache is a storage of items so that future access to those items can be serviced quickly and an LRU policy is used for cache eviction. The Constraints/Operations Lookup of cache items must be O(1) Addition to the cache must be O(1) The cache should evict items using the LRU policy The Approach There are many ways to do this but the most common approach is to use 2 critical structures: a doubly linked list and a hashtable. Our Structures Doubly Linked List: This will hold the items that our cache has. We will have n items in the cache. This structure satisfies the constraint for fast addition since any doubly linked list item can be added or removed in O(1) time with proper references. Hashtable: The hashtable will give us fast access to any item in the doubly linked list items to avoid O(n) search for items and the LRU entry (which will always be at the tail of the doubly linked list). This is a very common pattern, we use a structure to satisfy special insertion or remove properties (use a BST, linked list, etc.) and back it up with with a hashtable so we do not re-traverse the structures every time to find elements. Complexities Time Both get and put methods are O( 1 ) in time complexity. Space We use O( n ) space since we will store n items where n ist the capacity of the cache. HackerRank: 🤍 Tuschar Roy: 🤍 GeeksForGeeks: 🤍 Jarvis Johnson: 🤍 Success In Tech: 🤍 This question is number 13.3 in "Elements of Programming Interviews" by Adnan Aziz, Tsung-Hsien Lee, and Amit Prakash.

Implement LRU cache

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This video shows how to implement LRU cache in the most efficient way. This explanation involves step by step optimization explanation with proper examples. We can implement LRU cache in just O(1) time for each query. As usual the CODE LINK is present below. If you find any difficulty or have any query then do COMMENT below. PLEASE help our channel by SUBSCRIBING and LIKE our video if you found it helpful...CYA :) CODE LINK: 🤍

Implement LRU Cache | Leetcode

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Check our Website: 🤍 In case you are thinking to buy courses, please check below: Link to get 20% additional Discount at Coding Ninjas: 🤍 Code "takeuforward" for 15% off at GFG: 🤍 Code "takeuforward" for 20% off on sys-design: 🤍?_aff=takeuforward Crypto, I use the Wazirx app: 🤍 Take 750 rs free Amazon Stock from me: 🤍 Earn 100 rs by making a Grow Account for investing: 🤍 Linkedin/Instagram/Telegram: 🤍 SDE sheet: 🤍 Code Implementation Video: 🤍 ✅Use coupon-code "TAKEUFORWARD" for getting 15% for all CN courses: 🤍 Watch at 1.25x for better experience .. - Problem Link: 🤍 C: 🤍 Java: 🤍 - ✅Use coupon-code "TAKEUFORWARD" for getting 10% for all GFG courses: 🤍 ✅Please Please SUBSKRIIIBEEEEE the new channel: 🤍 - ✅Placement Series: 🤍 ✅Placement Series (Arrays, Sorting..): 🤍 ✅Hashing Playlist: 🤍 ✅Greedy Playlist: 🤍 ✅Recursion Playlist: 🤍 ✅Graph Playlist: 🤍 ✅Two Pointer Playlist: 🤍 ✅Binary Search Playlist: 🤍 ✅LinkedList Playlist: 🤍 ✅Advanced DS playlist: 🤍 ✅Stack&Queue Playlist: 🤍 ✅Greedy Algorithms: 🤍 - If you appreciate the channel's work, you can join the family: 🤍 ✅Thumbnail Creator: 🤍 ✅ Striver's Linkedin Profile: 🤍 ✅ Instagram: 🤍 ✅Connect with us: 🤍 (Use Link in Mobile only, if not works search "takeUforward" in telegram).. #dsa​ #striver #leetcode

Implementing LRU Cache using LinkedHashMap in Java

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In this video you will learn how to implement LRU cache using LinkedHashMap in java Below is the GitHub link to download source: 🤍 🤍

How to Implement an LRU Cache (Leetcode #146 explained)

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How to Implement an LRU Cache (Leetcode #146 explained) // Are you ready to solve this coding interview question in your interview? One of the most popular Google interview questions is to ask coding interview candidates to implement an LRU cache, or least recently used cache. Basically, you are implementing a cache with an eviction policy that evicts the least recently used element. This is a great coding interview question because it tests your knowledge of hash tables and linked lists as well as general design patterns and caching algorithms. Make sure you know how to solve this classic Leetcode question before your next coding interview! RESOURCES & LINKS MENTIONED IN THIS VIDEO: Implement an LRU Cache (Leetcode #146): 🤍 50 Coding Interview Questions Guide: 🤍 [FREE EBOOK] Dynamic Programming for Interviews: 🤍 Coding Interview Questions and Answers Playlist: 🤍 YOU CAN ALSO FIND ME HERE Website: 🤍 Twitter: 🤍 Facebook: 🤍 🤍

Implement LRU Cache | Implement LRU Cache using HashMap & Doubly Linked List | Programming Tutorials

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Explained LRU Cache Implementation using HashMap and Doubly Linked List and it's Java Code. LeetCode May Challenge PlayList - 🤍 LeetCode April Challenge PlayList - 🤍 In this tutorial, I have explained how to implement LRU cache get and put method in O(1) time complexity using HashMap and Doubly Linked List. We have to design and implement a data structure for LRU (Least Recently Used) cache. It should support two operations get and put in O(1) time. get(key) - Get the value if the key exists in a cache else returns -1. put(key, value) - Insert the value if the key is already not present in a cache. When the cache reached its capacity, it should invalidate the least recently used item before inserting a new item. The cache is Initialized with positive capacity. LeetCode 30 Day Challenge LeetCode Challenge Day 24 Question Website - 🤍 Paypal - 🤍

LRU Cache in Java

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LRU Cache in Java. Companion Blog Post: 🤍

LRU cache | Live Coding with Explanation | Leetcode #146

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What is LRU Cache?: 🤍 Get Discount on GeeksforGeeks courses (🤍 by using coupon code: ALGOMAEASY To support us you can donate Patreon: 🤍 UPI: algorithmsmadeeasy🤍icici Paypal: paypal.me/algorithmsmadeeasy Check out our other popular playlists: ✅✅✅[ Tree Data Structure ] : 🤍 ✅✅✅[ Graphs Data Structure ] : 🤍 ✅✅✅[ December Leetcoding Challenge ] : 🤍 ✅✅✅[ November Leetcoding Challenge ] : 🤍 ✅✅✅[ August Leetcoding Challenges ] : 🤍 ✅✅✅[ July Leetcoding Challenges ] : 🤍 ✅✅✅[ Cracking the Coding Interview - Unique String ] : 🤍 ✅✅✅[ June Leetcoding Challenges ] : 🤍 ✅✅✅[ May Leetcoding challenges ]: 🤍 Problem Link: 🤍 Code: 🤍 If you find any difficulty or have any query then do COMMENT below. PLEASE help our channel by SUBSCRIBING and LIKE our video if you found it helpful. #coding #leetcode #programminglife #programmingisfun #programmer #tech #software #codinglife #leetcode

LRU Cache Implementation | Codewise explanation using Queue & Map

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Source Code:🤍 Solution: - We implement lru cache using queue & map - Map helps us to fetch data faster - While pushing value in cache if data is already in cache, we move it to top & update the value. If cache is full, we remove data from last - While getting the data, we move accessed data to top of queue. Time Complexity: O(1) Space Complexity: O(n) Do Watch video for more info CHECK OUT CODING SIMPLIFIED 🤍 ★☆★ VIEW THE BLOG POST: ★☆★ 🤍 I started my YouTube channel, Coding Simplified, during Dec of 2015. Since then, I've published over 400+ videos. ★☆★ SUBSCRIBE TO ME ON YOUTUBE: ★☆★ 🤍 ★☆★ Send us mail at: ★☆★ Email: thecodingsimplified🤍gmail.com

lru cache using java linked hashmap

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Leet code submission : 🤍

[Решение на Java] 146. LRU Cache. LeetCode задача для Amazon, Facebook, Microsoft, Apple, Uber и др.

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Спроектировать кеш с политикой выселения LRU (Least Recently Used / Наименее Часто Используемый). Решение задачи с LeetCode на Java.

Implement LRU Cache | C++ and Java Clean and Short Implementation

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Check our Website: 🤍 In case you are thinking to buy courses, please check below: Link to get 20% additional Discount at Coding Ninjas: 🤍 Code "takeuforward" for 15% off at GFG: 🤍 Code "takeuforward" for 20% off on sys-design: 🤍?_aff=takeuforward Crypto, I use the Wazirx app: 🤍 Take 750 rs free Amazon Stock from me: 🤍 Earn 100 rs by making a Grow Account for investing: 🤍 Linkedin/Instagram/Telegram: 🤍 SDE sheet: 🤍 Explanation Video: 🤍 Watch at 1.25x for better experience .. - Problem Link: 🤍 C/Java Code: 🤍 - ✅Use coupon-code "TAKEUFORWARD" for getting 10% for all CN courses: 🤍 ✅Use coupon-code "TAKEUFORWARD" for getting 10% for all GFG courses: 🤍 ✅Please Please SUBSKRIIIBEEEEE the new channel: 🤍 - SDE sheet: 🤍 ✅Placement Series: 🤍 ✅Placement Series (Arrays, Sorting..): 🤍 ✅Hashing Playlist: 🤍 ✅Greedy Playlist: 🤍 ✅Recursion Playlist: 🤍 ✅Graph Playlist: 🤍 ✅Two Pointer Playlist: 🤍 ✅Binary Search Playlist: 🤍 ✅LinkedList Playlist: 🤍 ✅Advanced DS playlist: 🤍 ✅Stack&Queue Playlist: 🤍 ✅Greedy Algorithms: 🤍 - If you appreciate the channel's work, you can join the family: 🤍 ✅Thumbnail Creator: 🤍 ✅ Striver's Linkedin Profile: 🤍 ✅ Instagram: 🤍 ✅Connect with us: 🤍 (Use Link in Mobile only, if not works search "takeUforward" in telegram).. #dsa​ #striver #leetcode

LRU Cache Implementation in Java

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LRU Cache Implementation in Java #java #lrucache #java #objectoriented Github: 🤍

LRU Cache | HashMap | Doubly LinkedList

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Please consume this content on nados.pepcoding.com for a richer experience. It is necessary to solve the questions while watching videos, nados.pepcoding.com enables that. NADOS also enables doubt support, career opportunities and contests besides free of charge content for learning. Pepcoding has taken the initiative to provide counselling and learning resources to all curious, skillful and dedicated Indian coders. This video is part of the series to impart industry-level web development and programming skills in the community.   We also provide professional courses with live classes and placement opportunities. For more free study resources and information about the courses, visit: 🤍 Have a look at our result: 🤍 Follow us on our Youtube page: 🤍 Follow us on our FB page: 🤍 Follow us on Instagram: 🤍   Follow us on LinkedIn: 🤍 Follow us on Pinterest: 🤍 Follow us on Twitter: 🤍 . . . Happy Programming !!! Pep it up . . . #pepcoding #code #coder #codinglife #programming #coding #java #freeresources #datastrucutres #pepcode #competitive #competitiveprogramming #softwareengineer #engineering #engineer

LRU cache | Leetcode 146 | Hindi

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liked this video? Click here 🤍 code :- 🤍

Implement LRU Cache - LeetCode 146 | Least Recently Used Cache | Algorithm Explained - Java Solution

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Design a data structure that follows the constraints of a Least Recently Used (LRU) cache. Implement the LRUCache class: LRUCache(int capacity) Initialize the LRU cache with positive size capacity. int get(int key) Return the value of the key if the key exists, otherwise return -1. void put(int key, int value) Update the value of the key if the key exists. Otherwise, add the key-value pair to the cache. If the number of keys exceeds the capacity from this operation, evict the least recently used key. Reference: 🤍 #LRUCache #LeastRecentlyUsedCache #LRUEviction #LRUEvictionPolicy #LRUEvictionStrategy #LeetCode146 #LeetCode #InterviewPrograms #JavaInterviewPrograms

System Design - (Q&A -1) - How to Implement an LRU Cache

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System design Question: Implement a Least Recently Used (LRU) Cache Code: 🤍 Basic Concept & terminologies: 🤍 [IMPORTANT] Complete List of interview questions that you need to prepare: 🤍 Videos that you should watch, for learning system designing principles: Q1: How to Implement an LRU Cache: 🤍 #What is a page replacement Algorithm & why it is used ? In operating systems that use paging for memory management, page replacement algorithm are needed to decide which page needed to be replaced when new page comes in. Whenever a new page is referred and not present in memory, page fault occurs and Operating System replaces one of the existing pages with newly needed page. Different page replacement algorithms suggest different ways to decide which page to replace. The target for all algorithms is to reduce number of page faults. #What is a Cache? A cache is a hardware or software component that stores data so that future requests for that data can be served faster; the data stored in a cache might be the result of an earlier computation or a copy of data stored elsewhere. #What Is An LRU Cache? So a LRU Cache is a storage of items so that future access to those items can be serviced quickly and an LRU policy is used for cache eviction. * Difficulty: Medium Topic: System Design DS: LRU Caching Company: FAANG * #interviewWithBunny #codinginterview #crackingthetechnicalinterview Additional Tags: System Design How to Implement an LRU Cache least recently used page replacement algorithm least recently used algorithm least recently used cache least recently used algorithm in operating system least recently used cache replacement algorithm least recently used page replacement least recently used replacement algorithm least recently used (lru) least recently used cache algorithm least recently used algorithm example least recently used algorithm in java least recently used algorithm definition least recently used algorithm page replacement least recently used example least recently used cache replacement policy least recently used cache leetcode least recently used code least recently used (lru) cache least recently used page replacement algorithm in c least recently used policy least recently used replacement policy lru cache implementation lru page replacement algorithm lru cache implementation lru cache implementation java lru cache leetcode lru algorithm page replacement lru and fifo page replacement algorithm lru and optimal page replacement algorithm lru cache java lru cache problem lru cache geeksforgeeks

Design and Implement a Least Recently Used (LRU) Cache in Java interview

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a basic Implement LRU Cache in Java

LRU Cache | (C++, Java, Python) |30 day Challenge | Day 24 | LeetCode #146

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Complete Playlist LeetCode Solutions: 🤍 Best Books For Data Structures & Algorithms for Interviews: 1. Cracking the Coding Interview: 🤍 2. Cracking the Coding Interview Paperback: 🤍 3. Coding Interview Questions - Narasimha Karumanchi: 🤍 4. Data Structures and Algorithms Made Easy - N. Karumanchi: 🤍 5. Data Structures & Algorithms made Easy in Java - N. Karumanchi: 🤍 6. Introduction to Algorithms - CLR - Cormen, Leiserson, Rivest: 🤍 * LeetCode 30 day Challenge | Problem 24 | LRU Cache | 24 April, Facebook Coding Interview question, google coding interview question, leetcode, lru cache python, lru cache java, lru cache c, #Facebook #CodingInterview #LeetCode #30DayChallenge #Google #LRU #Amazon

LRU cache | EP 22

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Lecture Notes: 🤍 Watch the complete Linked List Series 🤍 Coding Ninjas Courses 15 % OFF 🤍 Question (codestudio) 🤍 Question (leetcode) 🤍 Placement Preparation Roadmap 🤍 Hi, I am Fraz. I am Software Engineer working at Curefit and I love teaching. This is my Channel where I upload content related to Interviews and my personal experiences. My contact details Instagram :- 🤍 Connect with me on LinkedIn :- 🤍 Telegram Group 🤍

Cache Replacement Policies - MRU, LRU, Pseudo-LRU, & LFU

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COA: Cache Replacement Policies - MRU, LRU, Pseudo-LRU, & LFU Topics discussed: 1) Most Recently Used Policy. 2) Least Recently Used Policy: a) Understanding the Process. b) Implementation of LRU. c) Analysis of LRU Implementation. 3) Pseudo Least Recently Used Policy. 4) Least Frequently Used Policy. Follow Neso Academy on Instagram: 🤍nesoacademy (🤍 Contribute: 🤍 Memberships: 🤍 Books: 🤍 Website ► 🤍 Forum ► 🤍 Facebook ► 🤍 Twitter ► 🤍 Music: Axol x Alex Skrindo - You [NCS Release] #COAByNeso #ComputerOrganizationAndArchitecture #CacheReplacementPolicies

LRU cache implementation | How to implement LRU cache in Java

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LRU cache implementation acts as beginning stone in system design preparation. If you want to know how to implement LRU cache in Java then watch this video. Code : 🤍

What is LRU cache?

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Implementing LRU Cache ( Coding ) : 🤍 Get Discount on GeeksforGeeks courses (🤍 by using coupon code: ALGOMAEASY To support us you can donate Patreon: 🤍 UPI: algorithmsmadeeasy🤍icici Check out our other popular playlists: ✅✅✅[ Tree Data Structure ] : 🤍 ✅✅✅[ Graphs Data Structure ] : 🤍 ✅✅✅[ December Leetcoding Challenge ] : 🤍 ✅✅✅[ November Leetcoding Challenge ] : 🤍 ✅✅✅[ August Leetcoding Challenges ] : 🤍 ✅✅✅[ July Leetcoding Challenges ] : 🤍 ✅✅✅[ Cracking the Coding Interview - Unique String ] : 🤍 ✅✅✅[ June Leetcoding Challenges ] : 🤍 ✅✅✅[ May Leetcoding challenges ]: 🤍 If you find any difficulty or have any query then do COMMENT below. PLEASE help our channel by SUBSCRIBING and LIKE our video if you found it helpful. #coding #algomadeasy #programminglife #programmingisfun #programmer #tech #software #codinglife #leetcode

Imlement LFU Cache | Leetcode(Hard)

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Check out website: 🤍 SDE sheet: 🤍 Code Implementation Video: 🤍 LRU Cache: 🤍 Watch at 1.25x for better experience .. Visit Relevel at: 🤍 upGrad(BD)- 🤍 Urban Company(BD)- 🤍 Vedantu(BD)- 🤍 Curefit(BD- 🤍 Cred(FD)- 🤍 Digit(FD)- 🤍 Razorpay(BE)- 🤍 Yellow Messenger(BE)- 🤍 Cred(BE)- 🤍 1mg(BE)- 🤍 Digit(BE)- 🤍 - Problem Link: 🤍 C: 🤍 Java: 🤍 - ✅Use coupon-code "STRIVER" for getting 10% on all subscriptions of Unacademy ✅Use coupon-code "TAKEUFORWARD" for getting 15% for all CN courses: 🤍 ✅Use coupon-code "TAKEUFORWARD" for getting 10% for all GFG courses: 🤍 ✅Please Please SUBSKRIIIBEEEEE the new channel: 🤍 - Products that I use: Best Mic in Affordable Range: 🤍 Yeti mic: 🤍 Boya mic: 🤍 Logitech webcam: 🤍 Cooling pad: 🤍 Wacom pad: 🤍 Ring light: 🤍 Mic Arm Stand: 🤍 Digitek Green light stand: 🤍 Digitek Stand: 🤍 Tripod: 🤍 Office chair: 🤍 Ipad Air: 🤍 Iphone 12: 🤍 Watch: 🤍 Macbook Air: 🤍 Macbook Pro: 🤍 Board: 🤍 Mouse: 🤍 - ✅Placement Series: 🤍 ✅Placement Series (Arrays, Sorting..): 🤍 ✅Hashing Playlist: 🤍 ✅Greedy Playlist: 🤍 ✅Recursion Playlist: 🤍 ✅Graph Playlist: 🤍 ✅Two Pointer Playlist: 🤍 ✅Binary Search Playlist: 🤍 ✅LinkedList Playlist: 🤍 ✅Advanced DS playlist: 🤍 ✅Stack&Queue Playlist: 🤍 ✅Greedy Algorithms: 🤍 - If you appreciate the channel's work, you can join the family: 🤍 ✅Thumbnail Creator: 🤍 ✅ Striver's Linkedin Profile: 🤍 ✅ Instagram: 🤍 ✅Connect with us: 🤍 (Use Link in Mobile only, if not works search "takeUforward" in telegram).. ##dsa​ #striver #leetcode

Multi-level pseudo-LRU cache in Java

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The code is available at GitHub: 🤍

Design LRU Cache

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In this video, I talked about the LRU Cache policy and implemented it in Java. I will be talking about algorithms and system design in this channel frequently so stay tuned and connect with me on Linkedin and Instagram. #lrucache #cache #algorithms Problem: 🤍 Linkedin: 🤍 Instagram: 🤍

Coding Interview Tutorial 153 - LRU Cache [LeetCode]

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Learn how to solve coding interview problems easily and efficiently! Algorithms, data structures, and coding interviews simplified! This video explains how to solve the Least Recently Used (LRU) Cache programming interview problem. We use the LeetCode platform to solve this problem. Please support this channel on Patreon.

Least Recently Used Cache - 30 min Java Coding Challenge

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No BGM. No intro. No fancy video editing. Just a handsome Chinese man who is going through a quarter-life crisis practicing coding questions.

Lecture 17: What is LRU Cache? | SPG | JAVA

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Linked List Series playlist 🤍 Hey Everyone, This is Episode 17 of Linked List series. In this series I'm going to cover the Linked List from basics to advance level and we are going to solve few most important frequently asked interview problems. In this video we are going to solve a problem which is frequently asked in interviews. Please do SUBSCRIBE, LIKE and COMMENT, if you like the video. Also do comment if you are unable to understand anything, I will be happy to answer you. I'm Shiva Prasad Gurram, Currently working as a Software engineer and I love teaching. In this channel I upload content related to Data Structures and Algorithms, Java, and few more. Chapters = 0:00 Welcome Intro 0:42 What is Cache? 1:55 What is LRU Cache? 2:34 Live example 8:55 How we can implement it? #datastructures #spg #linkedlist #coding #problemsolving #dailydsawithspg #java #problem Follow me on social media ✅ LinkedIn: 🤍 ✅ GitHub: 🤍 ✅ Telegram: 🤍 ✨tags ✨ java interview questions java tips system design roadmap low level design high level design coding where to learn dsa dsa roadmap how to start programming how to start coding where to learn Operating systems where to learn dbms where to learn oops where to learn computer networks where to learn low level design where to learn cs fundamentals Where to learn dp where to learn graphs where to learn dsa design patterns solid principles Placement guide where to learn cpp where to learn python where to learn javascript where to learn java Placement guide roadmap to learn machine learning roadmap for deep learning roadmap for 2nd years roadmap for final year roadmap for opensource roadmap for ios development roadmap for deep learning roadmap to learn DSA how to crack product based company leetcode geeksforgeeks how to crack amazon interview how to crack microsoft interview how to crack faang interview resources to learn programming how to crack amazon how to crack placement blockchain what is blockchain blockchain technology blockchain technology explained blockchain explained blockchain technology in hindi Disclaimer/Policy: Note : All uploaded content in this channel is mine and its not copied from any community , you are free to use source code from above mentioned GitHub account

LRU Cache - Twitch Interview Question - Leetcode 146

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🚀 🤍 - A better way to prepare for Coding Interviews 🐦 Twitter: 🤍 🥷 Discord: 🤍 🐮 Support the channel: 🤍 CODE ON GITHUB: 🤍 Coding Solutions: 🤍 Problem Link: 🤍 0:00 - Read the problem 2:00 - Drawing solution 7:30 - Coding solution leetcode 146 #twitch #interview #python Song: Bamboo by Oak Studios Creative Commons - Attribution ND 4.0 🤍

LeetCode 146. LRU Cache Explanation with Examples

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LFU Cache: 🤍 Source code and videos list: 🤍 FB group: 🤍 If you prefer, you could support me by clicking the ads on my homepage (not YouTube ads): 🤍 Thanks in advance. :D Happy coding every day!

Implement Caching Using HashMap In Java

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The caching can be maintained using HashMap in java. Described code to implement caching using hashmap. Support Me on : 🤍 Url to create API using best practice: 🤍 #HashMapCaching #CachingUsingHashMap #PlayJava

LRU Cache | LeetCode 146 | Java | Amazon Interview Question | Double Linked list + HashMap | Stacy

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Chinese version is here: 🤍 The 146 question on LeetCode: 🤍 Fast Timeline 00:00 LeetCode 146 00:15 Related Cache Knowledge 02:30 Problem 03:16 Algorithm 07:14 Solution 11:13 Verify Solution on LeetCode 11:53 Review Key points !NOTE: At 9:29 , when we initialize the connection of dummy head/tail, it should be head.next = tail tail.pre = head There's a typo in the vide saying tail.next = pre B站:诗萌Stacy 🤍

Java Technical Interview - LRU (Least Recently Used) Cache Design

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08.01.2019

Java Technical Interview Question - LRU (Least Recently Used) Cache Design Ace your next Java technical coding interview with these coding questions and java 8 tutorial. Java programs asked in the technical interview for experienced, be prepared for your next Java programming interview. These core java technical interview questions and answers are even for the experienced developers. There are also google technical interview questions java. The concept is the same but will be phrased differently. If you are a new college graduate, these technical interview questions on java are perfect for freshers and java tutorial for beginners. Subscribe for more Java tutorials for beginners and also for experienced developers. Here are the list of Highly Recommended Coding interview Books For the Coding Interview Preparation: 1) Cracking the Coding Interview: 189 Programming Questions and Solutions 6th Edition - by Gayle Laakmann McDowell Link: 🤍 - 2) Elements of Programming Interviews: The Insiders' Guide - by Adnan Aziz, Tsung-Hsien Lee, Amit prakash Link: 🤍 3) The Complete Software Developer's Career Guide: How to Learn Your Next Programming Language, Ace Your Programming Interview, and Land The Coding Job Of Your Dreams - by John Sonmez Link: 🤍 -

System Design Interview - Distributed Cache

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00:34:34
04.05.2019

Please check out my other video courses here: 🤍 Topics mentioned in the video: - Functional (put, get) and non-functional (high scalability, high availability, high performance) requirements. - Least recently used (LRU) cache. - Dedicated cache cluster, co-located cache - MOD hashing, consistent hashing. - Cache client. - Static vs dynamic cache servers list configuration. - Leader-follower (master-slave) data replication. - Cache consistency, data expiration, local and remote cache, security, monitoring and logging. - Memcached, Redis. Inspired by the following interview questions: Adobe (🤍 Amazon (🤍 Ebay (🤍 Google (🤍 Yahoo (🤍

LEETCODE 146 (JAVASCRIPT) | LRU CACHE

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00:17:42
06.04.2021

Hey everyone. Check out this in-depth solution for leetcode 146.

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