The 5-Step DP Formula That Solves Any Problem !

Dynamic programming trips up almost every programmer — not because it's hard, but because nobody explains the pattern behind it. In this video, I'll show you a clear 5-step framework you can apply to any DP problem, whether it's your first time or your tenth failed attempt. We walk through two classic problems — Coin Change and Edit Distance — to make every concept concrete and visual. By the end, you won't just understand dynamic programming. You'll know exactly how to recognize it, set it up, and solve it. ⏱ TIMESTAMPS 00:00 — Why dynamic programming isn't what you think 01:12 — Core definition (what DP actually is) 04:27 — The 2 ingredients every DP problem has 07:11 — Coin Change: the 5-step framework (1D pattern) 14:16 — Edit Distance: scaling up to 2D grids 18:28 — 5 subproblem patterns cheat sheet 20:23 — The right way to practice DP going forward 🧠 WHAT YOU'LL LEARN → How to spot overlapping subproblems and optimal substructure → The difference between memoization and tabulation — and when to use each → How 1D vs 2D state patterns change your approach → How to backtrack through your DP table to reconstruct the answer → Why DAGs are the mental model that makes everything click 🎯 WHO THIS IS FOR → CS students struggling with recursion and DP → Engineers prepping for FAANG / LeetCode interviews → Competitive programmers who want pattern recognition, not memorization → Anyone who's watched a DP tutorial and still felt lost 📌 PROBLEMS COVERED • Coin Change (LeetCode 322) • Edit Distance / Levenshtein Distance (LeetCode 72) ☕ SUPPORT THE CHANNEL If this content helped you, consider buying me a coffee or chai — it genuinely keeps this going! 🌍 Global: https://ko-fi.com/csmadeez Indian audience: https://buymeachai.ezee.li/CsMadeEz 🔍 TOPICS COVERED Dynamic programming tutorial | Memoization vs tabulation | Overlapping subproblems | Optimal substructure | Directed acyclic graph DAG | Coin change problem explained | Edit distance algorithm | 1D and 2D DP patterns | Backtracking in DP | LeetCode dynamic programming | Coding interview prep | Algorithms and data structures If this helped you finally understand dynamic programming, subscribe for more visual deep-dives into algorithms, data structures, and systems design. #DynamicProgramming #LeetCode #CodingInterview #Algorithms #DataStructures #ComputerScience #SoftwareEngineering #TechInterview #Memoization #ProgrammingTutorial