Sliding Window Algorithm Leetcode. Endless interview appearances. Each pattern will be a complet

Endless interview appearances. Each pattern will be a complete tool - consisting of data structures, algorithms, and analysis techniques - to solve a spec Chanda-Abdul algorithms algorithms-and-data-structures breadth-first-search coding-interviews 🚀 LeetCode Progress | Day 2 | Java | DSA Had a productive Day 2 on LeetCode, solving multiple problems that focus on strings, arrays, sliding window, and binary search techniques using Java In this video, we solve LeetCode – Maximum Average Subarray I using the Sliding Window technique, one of the most important patterns for coding interviews an Master computer science fundamentals and ace coding interviews with AI-generated flashcards for algorithms, data structures, system design, and technical concepts. If you’re aiming for FAANG/Top-tier product companies, mastering the Prefix Sum + Hashing Repositorio para guardar ejercicios de estructura de datos y algoritmos. 4. Nov 16, 2025 · LeetCode has 200+ sliding window problems. Each time the sliding window moves right by one position. The technique is commonly used in algorithms that involve finding patterns or trends in data, such as finding the maximum/minimum value in a set of data, or counting the number of occurrences of a specific element. pdf), Text File (. Level up your coding skills and quickly land a job. This video breaks down the Sliding Window pattern step-by-step using the most important and frequently asked questions — perfect for interviews, DSA prep, and competitive programming. There’s this absolute powerhouse pattern called the Sliding Window that Sliding window problems form a key category in algorithm practice, and as you’ve seen from this curated collection, they can vary from simple window expansion (as in minimizing a subarray sum) to complex, multi-offset windowing (as in substring concatenation challenges). com/problems/subarrays-with-k-different-integers/ Slide window The question of this question is similar to the problem of a lot of sliding windows, but it is still a bit diff. Most teach you nothing new. To reuse the sum from the previous subarray, we will subtract the element going out of the window and add the element now being included in the sliding window. 👨‍💻 Follow @codewithswastikk for more DSA 🔄 Dev content! Core Algorithm Patterns Reusable mental models for: Sliding window Two pointers Binary search on answers DFS vs BFS Greedy decisions Prefix sums Dynamic programming states Patterns > memorization. Jun 1, 2025 · Yo, if you’re grinding LeetCode and feeling overwhelmed by array problems, I’ve got some seriously good news for you. This will save us from going through the whole subarray to find the sum and, as a result, the algorithm complexity will reduce to O(N). Can you solve this real interview question? Sliding Window Maximum - You are given an array of integers nums, there is a sliding window of size k which is moving from the very left of the array to the very right. - Coding practice resources: Solve LeetCode “Amazon” tagged problems (focus on medium/hard from In short, pattern-based practice helps you build a strong foundation and quickly apply the right strategies, making problem-solving much more efficient. Templates in 3 languages, 10+ worked examples, debugging checklists, and the exact decision tree FAANG interviewers expect you to know. Perfect for coding interview preparation. 🎯 Welcome to the Heap Pattern Playlist — your complete guide to mastering one of the most powerful and frequently tested data structures in coding interviews Leetcode 75 Questions (NeetCode on Yt) - Free download as PDF File (. Learn the sliding window pattern with step-by-step examples, code templates, and LeetCode practice problems. txt) or read online for free. 2 days ago · The sliding window technique for maxSubArray is shown at Interview/Algorithm/LeetCode_for_Embedded_Developer. - lpalacio-dev/data-structures-and-algorithms 🚀 Day 64 / 100 – #100DaysOfLeetCode 📌 LeetCode 209: Minimum Size Subarray Sum (Medium) Today’s problem was a classic sliding window challenge that focuses on finding the smallest 20 hours ago · Do: Monday: Array problem → sliding window → hash map → tree problem Tuesday: Different array → different sliding window → different hash map → different tree This forces your brain to recognize the pattern rather than just apply the pattern you're currently studying. md445-461 using Kadane's algorithm with O (1) space complexity. Hundreds of problems. Learn how to solve the Find All Anagrams in a String coding problem using the Sliding Window technique! 🚀 In this video, we break down: What an anagram is Why the naive sorting approach is too slow How to use Frequency Arrays (Hash Maps) for O(N) efficiency A step-by-step visual walkthrough of the algorithm This is a classic LeetCode medium problem (#438) often asked in… In this video i have explained everything about Sliding Window, that is why to use, when to use, types of sliding window (fixed size and variable size), mist 🚀 Day 45 / 100 – #100DaysOfLeetCode 📌 LeetCode 643: Maximum Average Subarray I (Easy) Today’s problem was about finding the maximum average of a subarray of fixed length k, which is a Leetcode 1004 – Max Consecutive Ones III 🔥 Brute Force vs Sliding Window 🧠 First, we try the extreme brute way 😵 (O (n²)) Then, flip the script with the optimal sliding window (O (n)) 🚀 From struggling to solving — all in one reel. - Algorithm topics: Emphasize sliding-window/greedy, backtracking (subsets/backtracking), priority queues 1 f (Top K Elements 11 ), and dynamic programming basics (e. These 20, in this exact order, teach everything you need—from template basics to interview-ready. Return the max sliding window. #leetcode #dsa #softwaredevelopment [ 250 dsa pattern, data structures and algorithm, leetcode, uber, product based companies, interview, software engineer] Get the full experience The ultimate, curated collection of the Top 150 Data Structures and Algorithms (DSA) interview questions, meticulously sourced from LeetCode's most frequent and essential problem patterns. Climbing Stairs, Coin Change). g. This is the best place to expand your knowledge and get prepared for your next interview. topic https://leetcode-cn. Level up your coding skills and quickly land a job. . Learn how to solve the Find All Anagrams in a String coding problem using the Sliding Window technique! 🚀 In this video, we break down: What an anagram is Why the naive sorting approach is too slow How to use Frequency Arrays (Hash Maps) for O(N) efficiency A step-by-step visual walkthrough of the algorithm This is a classic LeetCode medium problem (#438) often asked in… DSA Shenanigans: Prefix Sum + Hashing: One pattern. Welcome to Lecture 35 of the DSA Series in Telugu! 💻🔥 In this video, we’ll solve the famous LeetCode Problem – “Longest Substring With At Most K Distinct Characters”, one of the most Minimum Window Substring 🪟 A challenging problem that tests your advanced sliding window & frequency tracking skills. You can only see the k numbers in the window. Nov 20, 2025 · The only sliding window guide you'll ever need. Practice these on LeetCode or GfG. Sliding window can be applied in various problems such as: Finding the maximum/minimum value in a set of data. #DSA #DataStructures #Algorithms #SlidingWindow #interviewpreparations leetcode-solutions/ ├── arrays/ # 45 problems (Two Pointers, Sliding Window, Kadane's) ├── strings/ # 32 problems (KMP, Palindromes, Sliding Window) ├── linked_lists/ # 18 problems (Fast/Slow Pointers, Reversal) ├── trees/ # 38 problems (DFS, BFS, Morris Traversal) ├── graphs/ # 28 problems (Dijkstra, Union-Find This course categorizes coding interview problems into a set of 16 patterns. Pattern recognition is the bottleneck in interviews, not This intensive program strengthened my understanding of core DSA concepts and improved my problem-solving approach, focusing on analyzing problems and choosing the right algorithm rather than just 🚀 Day 71 of #100DaysOfCode Challenge 🚀 DSA Challenge | Sliding Window Maximum (LeetCode 239) 🔹 Problem Overview Given an array and a window size k, find the maximum element in every Detect Cycle in Linked List 🔁 | Floyd’s Algorithm Explained in 3 Minutes Learn how to detect a cycle in a linked list using the Fast & Slow Pointer technique (Floyd’s Cycle Detection Algorithm) — one of the most important problems for coding interviews. In this video i have explained everything about Sliding Window, that is why to use, when to use, types of sliding window (fixed size and variable size), mist 🚀 Day 45 / 100 – #100DaysOfLeetCode 📌 LeetCode 643: Maximum Average Subarray I (Easy) Today’s problem was about finding the maximum average of a subarray of fixed length k, which is a Leetcode 1004 – Max Consecutive Ones III 🔥 Brute Force vs Sliding Window 🧠 First, we try the extreme brute way 😵 (O (n²)) Then, flip the script with the optimal sliding window (O (n)) 🚀 From struggling to solving — all in one reel. Expand to include → shrink to minimize = O (n) 🚀 Uses HashMap / frequency arrays smartly 💡 Very popular in interviews & hard coding rounds 📌 .

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