Python coding challenges: "distance"

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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

Strings & Text easy

Hamming Distance

Implement a function that computes the Hamming distance between two strings of equal length.

strings character-comparison distance

+10 pts 15m

Dynamic Programming medium

Levenshtein Distance

Implement the classic Levenshtein distance algorithm to measure string similarity.

strings dynamic-programming edit-distance

+30 pts 30m

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

+25 pts 30m

Graphs & Graph Algorithms hard

Dijkstra Shortest Path

Implement Dijkstra's algorithm on a weighted graph to return distances from a source to every node.

dijkstra graph heap

+35 pts 30m

Graphs & Graph Algorithms medium

Bellman-Ford Algorithm

Implement the Bellman-Ford algorithm to compute shortest distances from a source in a directed weighted graph with up to 100 vertices and negative edges.

shortest-path negative-edges graph

+30 pts 30m

Matrix & 2D Arrays medium

01 Matrix Nearest Zero

Given a binary matrix, return a matrix of the same shape where each cell contains the Manhattan distance to the nearest 0.

matrix bfs distance

+25 pts 30m

Showing 6 challenges

Guide: free Python coding challenges

Practice Python by solving problems

PythonSkillset challenges are hands-on coding exercises from beginner to advanced. Open a challenge, read the problem, write Python in the split-pane editor, and run tests with Pyodide — no install required.

How to use the arena

Pick a category — basics, algorithms, strings, and more
Open a challenge, read the statement, and edit the starter code
Run tests, fix failures, then try a related quiz or tutorial lesson

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.

Python Coding Challenges