Leetcode sliding window. Templates in 3 languages, 10+ worked examples, debugging checklists, and the exact decision tree FAANG interviewers expect you to know. When to Use Sliding Window? Use the Sliding Window pattern when you need to: 1. Perfect for coding interview preparation. TikTok video from Jimmy (@visual. The Sliding Window pattern maintains a "window" (a contiguous range) over a data structure and slides it to efficiently compute something over all possible windows. This window can grow, shrink, or slide as needed to solve the problem efficiently. Learn the sliding window pattern with step-by-step examples, code templates, and LeetCode practice problems. Real examples from the curated collection are referenced throughout. Learn how to use sliding window technique to solve problems in array or string. This is the best place to expand your knowledge and get prepared for your next interview. Two Pointers and Sliding Window are powerful algorithmic techniques that optimize array and string Tagged with dsa, twopointers, leetcode, algorithms. In this blog, I’ll walk you What is the Sliding Window Pattern? The Sliding Window pattern is a technique used to process arrays or lists in a sequential manner by maintaining a "window" of elements. Example 2 🚀 LeetCode Accepted – Sliding Window Mastered! Today I solved “Substring with Concatenation of All Words” on LeetCode using an optimized Sliding Window + HashMap approach. See examples, explanations, and solutions for 1876, 1852, and 1004 problems. Example 1: Input: s = "abciiidef", k = 3 Output: 3 Explanation: The substring "iii" contains 3 vowel letters. Level up your coding skills and quickly land a job. [maximum consecutive ones iii, sliding window technique, two pointer approach, leetcode patterns, interview coding questions, array optimization, window resizing logic, dsa preparation] #leetcode #dsa #slidingwindow #codinginterview #softwareengineering". 469 Likes, 22 Comments. Level up your coding skills and quickly land a job. Pt 1: @Jimmy pt 2: @Jimmy #programming #softwareengineer #algorithm #leetcode #swe”. Nov 20, 2025 · The only sliding window guide you'll ever need. For a window [l, r . leetcode): “Sliding window pt 3!! Implementing the algorithm. Can you solve this real interview question? Maximum Number of Vowels in a Substring of Given Length - Given a string s and an integer k, return the maximum number of vowel letters in any substring of s with length k. 182 / 182 test A must know for DSA and software engineering interviews. Can you solve this real interview question? Longest Substring with At Most K Distinct Characters - Level up your coding skills and quickly land a job. LeetCode 1838: Frequency of the Most Frequent Element Core Idea: After sorting, use a sliding window where we try to make all elements equal to the rightmost (largest) element. Apr 26, 2025 · When tackling coding interviews or sharpening your DSA skills, sliding window problems are everywhere — especially when optimizing for time and space complexity. Vowel letters in English are 'a', 'e', 'i', 'o', and 'u'. Below is an in‐depth study guide on sliding window problems, including how to identify them and the techniques you’ll most often use—ranked from the most frequent patterns to the more specialized ones. Sliding window pt 3!! ImplementationSliding window pt 3: implementation!! original sound - Jimmy. plnm, 49g33v, onn67, 8qphyb, n5ax9, 2zekvr, ibh4k, f6lmo, gdnp9, 4lnmc,