Ever struggled to understand Dynamic Programming? In this video, I’ll break it down visually using the Fibonacci sequence as an example. We’ll start with a basic recursive approach, then optimize it step by step using memoization, tabulation, and finally, an explanation.
By the end, you’ll see why DP is so powerful and how it helps solve problems efficiently. Whether you’re preparing for coding interviews or just want to improve your problem-solving skills, this explanation will make DP crystal clear!
📌 Topics Covered:
0:00 Naïve Recursion and its pitfalls ✅
2:12 Memoization (Top-Down DP) ✅
5:05 Tabulation (Bottom-Up DP) ✅
6:36 Explaining DP ✅
code (GitHub) for animation:-https://github.com/ByteQuest0/Animation_codes/tree/main/2025/Dynamic%20Programming
tools used to make this video:- manimGL (python library for animation), Premier Pro for video editing, and Audition for Audio Recording.
