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In this live session we’ll learn the Sliding Window algorithm from scratch and solve some of the most important LeetCode problems step-by-step. Sliding window is one of the most powerful techniques for solving array and string problems efficiently in O(n) time. We’ll start with the basic intuition, understand fixed vs variable window, and then solve 10 popular LeetCode problems used in coding interviews. Problems covered include: • Minimum Size Subarray Sum (LeetCode 209) • Maximum Number of Vowels in a Substring (LeetCode 1456) • Maximum Sum of Distinct Subarrays With Length K (LeetCode 2461) • Maximum Average Subarray I (LeetCode 643) • Fruit Into Baskets (LeetCode 904) • Longest Substring Without Repeating Characters (LeetCode 3) • Max Consecutive Ones III (LeetCode 1004) • Minimum Window Substring (LeetCode 76) • Substring with Concatenation of All Words (LeetCode 30) • Permutation in String (LeetCode 567) Topics covered in the stream: • Sliding Window intuition • Fixed window vs variable window • Expand and shrink window logic • Real coding interview patterns • Step-by-step dry runs Perfect for DSA beginners, coding interview preparation, and LeetCode practice. #slidingwindow #leetcode #dsa #codinginterview #python #datastructures #algorithms #leetcodeproblems #programming #techinterview sliding window algorithm, sliding window explained, sliding window leetcode, sliding window python, sliding window dsa, sliding window interview questions, leetcode sliding window problems, sliding window tutorial, sliding window coding interview, minimum window substring explanation, longest substring without repeating characters, fruit into baskets problem, max consecutive ones iii solution, permutation in string leetcode, sliding window pattern dsa, data structures and algorithms python, leetcode interview preparation, coding interview patterns, python dsa tutorial