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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

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

Graphs & Graph Algorithms medium

Articulation Points

Implement a function that returns the articulation points of an undirected graph.

graphs dfs bridges

Graphs & Graph Algorithms medium

Bridges in Graph

Implement a function that returns all bridges in an undirected graph.

graph dfs bridges

Graphs & Graph Algorithms hard

Minimum Cut

Given an undirected graph in adjacency-list form, return the size of the minimum edge cut that disconnects the graph.

graphs max-flow min-cut

Graphs & Graph Algorithms medium

Course Schedule Can Finish

Given numCourses and prerequisites, return whether all courses can be finished without cyclic dependencies.

graph cycle topological

Graphs & Graph Algorithms medium

All Paths from Source to Target

Given a directed acyclic graph, return all paths from node 0 to the last node.

graph dfs backtracking

Graphs & Graph Algorithms easy

Find the Town Judge

Given n people and a trust array, return the town judge or -1.

graph indegree outdegree

Showing 7 challenges · Graphs & Graph Algorithms

Graphs & Graph Algorithms — Python coding challenges

What you will find here

This page lists graphs & graph algorithms 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.