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Challenge: Edit Distance Problem

Explore how to compute the minimum number of insertions, deletions, and substitutions needed to transform one string into another using dynamic programming techniques. Understand the Levenshtein distance concept and apply it to solve the edit distance problem, enhancing your problem-solving skills for coding interviews.

Edit distance is a metric to quantify how dissimilar two strings are to one another by counting the minimum number of operations required to transform one string into the other.

Edit distances find several applications in the real world. For example, it is used to figure out which word is misspelled in automatic ...