Edit Distance Visually Explained | Dynamic Programming
🎥 About This Video
In this video, we break down a classic algorithm problem — Edit Distance, also known as the Levenshtein Distance. It calculates the minimum number of operations needed to transform one string into another. This algorithm is widely used in real-world applications like spell checking, DNA sequence alignment, and is a common topic in coding interviews.
We cover the full journey:
• What edit distance is
• The brute-force recursive approach
• Memoization to optimize recursion
• A complete implementation using the dynamic programming (DP) table method
We also walk through a detailed example — showing how to fill out the DP table step by step and how to backtrack to reconstruct the optimal sequence of operations.
This video is perfect for anyone preparing for coding interviews or learning dynamic programming. If you find it helpful, don’t forget to like, subscribe, and support the channel!
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