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467 challenges 330 easy 120 medium 17 hard

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All Python Basics Strings & Text Lists & Arrays Dicts & Sets Functions & Closures OOP & Classes Data Structures & Algorithms Advanced Python Iterators & Generators Decorators & Context Managers Error Handling & Exceptions Regular Expressions Math & Number Theory Bit Manipulation Dynamic Programming Trees & Binary Trees Graphs & Graph Algorithms Recursion & Backtracking Greedy Algorithms Binary Search Two Pointers & Sliding Window Stacks & Queues Heaps & Priority Queues Linked Lists Matrix & 2D Arrays Datetime & Time Calculations Data Formats & Parsing SQL & SQLite Numpy & Vectorized Computing Cryptography & Hashing

Dynamic Programming medium

Levenshtein Distance

Implement the classic Levenshtein distance algorithm to measure string similarity.

strings dynamic-programming edit-distance

Dynamic Programming medium

Longest Common Subsequence

Given two strings, compute the length of the longest subsequence common to both.

dynamic-programming strings lcs

Dynamic Programming medium

Longest Palindromic Subsequence

Compute the length of the longest palindromic subsequence in a given string.

strings dp subsequence

Dynamic Programming medium

Edit Distance (Levenshtein Distance)

Implement the classic edit distance algorithm to find the minimum number of single-character edits required to transform one string into another.

dynamic-programming strings levenshtein-distance

Dynamic Programming medium

Word Break DP

Implement a function to check if a string can be segmented into space-separated dictionary words.

dynamic-programming strings word-break

Dynamic Programming hard

Palindrome Partitioning Minimum Cuts

Given a string, return the minimum number of cuts needed such that every substring in the partition is a palindrome.

dynamic-programming palindrome strings

Showing 6 challenges · Dynamic Programming

Dynamic Programming — Python coding challenges

What you will find here

This page lists dynamic programming challenges — real Python problems you solve in the browser IDE with instant test feedback. Each challenge includes a clear brief, starter code, and automated checks.

Challenges vs tutorials and quizzes

Challenges test what you can build under constraints. For guided teaching, use our Python tutorials. For quick checks, try quizzes or copy snippets from code samples.