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Python Coding Challenges

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467 challenges 330 easy 120 medium 17 hard
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
Graphs & Graph Algorithms easy

Cycle Detection in a Directed Graph

Use DFS with a recursion stack to detect cycles in a directed graph.

graph dfs cycle
+10 pts 15m
Graphs & Graph Algorithms easy

Cycle Detection in Undirected Graph

Write a function that detects if an undirected graph contains a cycle.

graph dfs cycle-detection
+10 pts 15m
Graphs & Graph Algorithms medium

Articulation Points

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

graphs dfs bridges
+25 pts 30m
Graphs & Graph Algorithms medium

Bridges in Graph

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

graph dfs bridges
+30 pts 30m
Graphs & Graph Algorithms medium

Hamiltonian Path Check

Implement a function that checks whether an undirected graph has a Hamiltonian path using DFS and backtracking.

graph dfs backtracking
+30 pts 30m
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
+40 pts 35m
Graphs & Graph Algorithms medium

Bipartite Graph Check

Implement a function to check if an undirected graph is bipartite using graph coloring.

graphs bfs coloring
+25 pts 30m
Graphs & Graph Algorithms medium

Graph Coloring

Given an undirected graph, determine if it can be colored with two colors such that adjacent vertices have different colors.

graph bipartite bfs
+20 pts 20m
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
+25 pts 30m
Graphs & Graph Algorithms medium

Alien Dictionary Order

Given a sorted list of words in an alien language, derive the order of its unique letters.

graph topological-sort string
+30 pts 30m
Graphs & Graph Algorithms medium

Graph Valid Tree

Determine if n nodes and an edge list form a valid tree (connected and acyclic).

graph dfs bfs
+25 pts 30m
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
+25 pts 25m
Graphs & Graph Algorithms medium

Network Delay Time

Given a directed weighted graph and a starting node, find the minimum time for a signal to reach all nodes, or -1 if unreachable.

dijkstra shortest-path graph
+25 pts 30m
Graphs & Graph Algorithms medium

Cheapest Flights Within K Stops

Implement a function to compute the cheapest flight price from source to destination with at most K stops in a directed weighted graph.

graphs shortest-path dp
+30 pts 30m
Graphs & Graph Algorithms easy

Find the Town Judge

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

graph indegree outdegree
+10 pts 15m
Graphs & Graph Algorithms easy

Find center of star graph

Write a function that finds the center node of a star graph from its list of edges in O(1) time.

graph star-graph array
+10 pts 15m
Graphs & Graph Algorithms easy

Keys and Rooms

A classic graph traversal challenge: check if all rooms are reachable from room 0 using keys found in visited rooms.

graph dfs bfs
+10 pts 20m

Showing 19 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.