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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

Bell number

Implement a function to compute the Bell number B(n) using dynamic programming.

dp combinatorics math

Dynamic Programming easy

Unique Paths in a Grid

Count the number of unique paths from the top-left corner to the bottom-right corner of a grid, moving only right and down.

dynamic-programming grid counting

Dynamic Programming medium

Target Sum Subsets

Write a function that counts the number of subsets of a list of positive integers that sum exactly to a target.

subset-sum dp counting

Showing 3 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.