Practice Arena

Python Coding Challenges

Write real Python in the browser. Instant feedback. From beginner to expert.

925 challenges 556 easy 323 medium 46 hard
Dynamic Programming easy

Climbing Stairs

Implement a function that returns the number of distinct ways to climb n stairs using steps of 1 or 2.

fibonacci dp counting
+10 pts 15m
Dynamic Programming easy

Min cost climbing stairs

Compute the minimum total cost to reach the top of a staircase, given you can climb 1 or 2 steps at a time.

dynamic programming memoization array
+10 pts 15m
Dynamic Programming easy

House Robber

Given a list of house values, return the maximum sum you can rob without robbing two adjacent houses.

dynamic-programming arrays optimization
+10 pts 15m
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
+15 pts 20m
Dynamic Programming easy

Triangle Minimum Path

Compute the minimum path sum from top to bottom of a triangle given as a list of lists.

dynamic-programming bottom-up arrays
+12 pts 20m
Dynamic Programming easy

Shortest Unsorted Continuous Subarray

Given an array of integers, return the length of the shortest contiguous subarray whose sorting makes the whole array sorted.

arrays sorting two-pointers
+10 pts 15m
Dynamic Programming easy

Derangement count

Implement a function to count derangements of n items using the classic recurrence.

dynamic-programming combinatorics recursion
+10 pts 15m
Dynamic Programming easy

Tiling dominoes count

Given a 2 x n board, count the distinct tilings using 2 x 1 dominoes.

dynamic-programming fibonacci counting
+10 pts 15m

Showing 1–8 of 8 challenges · easy · 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.