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Python Coding Challenges

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925 challenges 556 easy 323 medium 46 hard
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 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

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 medium

Strongly Connected Components (Kosaraju's Algorithm)

Implement a function to find strongly connected components in a directed graph using Kosaraju's algorithm.

graphs dfs kosaraju
+30 pts 30m
Graphs & Graph Algorithms medium

Minimum Genetic Mutation

Implement a function to compute the minimum number of single-character mutations needed to transform one gene string into another, using a given bank of valid mutations.

bfs graph string
+30 pts 30m
Graphs & Graph Algorithms medium

Jump Game on Graph

Implement a function that determines if you can reach the last node of a directed graph by jumping from node 0 to node n-1 using edges.

graphs bfs reachability
+25 pts 30m

Showing 1–8 of 8 challenges · medium · 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.