How to Recognize the Sliding Window Pattern | DSA

How do you recognize a Sliding Window problem before you start coding? That's the real skill behind solving Sliding Window problems. In this episode, we build a practical framework for identifying the pattern: • Fixed Window vs Variable Window • How to recognize the window type • How to identify the constraint in variable-window problems • How the objective changes the way you record the answer • How the same skeleton applies across different problems • Common shortcuts that lead to the wrong template We use familiar LeetCode problems including: #643 Maximum Average Subarray I #3 Longest Substring Without Repeating Characters #209 Minimum Size Subarray Sum #424 Longest Repeating Character Replacement #76 Minimum Window Substring The goal is not to memorize five solutions. It's to look at a new problem and recognize the pattern before you code. This is Episode 10 — the final episode of the Sliding Window series. Next: Two Pointers vs Sliding Window — when do you use which? Subscribe to TechTroubleSolved for DSA explained through patterns, reasoning, and reusable problem-solving frameworks. #SlidingWindow #DSA #LeetCode