3 posts tagged with "Sliding Window"

If you're heading into placement season or want to master one of the most versatile problem-solving techniques in DSA, this list is for you. Two Pointers and Sliding Window are patterns you'll encounter in almost every interview, whether it's a FAANG-style round or a product startup's online assessment.

These aren't random problems. They're hand-picked to cover every sub-pattern, from simple opposite-end pointers to complex variable-length window problems with character frequency maps.

I've organized them by pattern type because that's how your brain should work during interviews. Once you recognize "this needs a shrinking window" or "this is a classic two-sum variant," the rest follows naturally.

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Hey everyone! Strings are arguably the most frequently tested topic in technical interviews and competitive programming. I've spent years mastering string algorithms, and I want to share a complete roadmap that covers everything from basic manipulation to advanced pattern matching algorithms.

String problems aren't just about manipulating characters. They require understanding hashing, pattern matching, dynamic programming, sliding windows, two pointers, and even advanced algorithms like KMP, Z-algorithm, and suffix arrays. Master strings, and you'll have a massive advantage in any coding challenge.

Hey everyone! Arrays are the foundation of data structures and algorithms. Every tech interview and competitive programming contest features array problems. I've spent years mastering array techniques, and I want to share a complete roadmap that will take you from basics to advanced patterns.

The key insight: Arrays aren't just about storing data sequentially. They're the building block for understanding space-time tradeoffs, prefix sums, sliding windows, two pointers, and countless optimization techniques. Master arrays, and you've mastered the foundation of algorithmic thinking.