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Python Coding Challenges

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925 challenges 556 easy 323 medium 46 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 medium

A* Pathfinding Heuristic

Implement A* search on a 2D grid to find the shortest path length between two cells.

search heuristic shortest-path
+25 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

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 medium

Floyd-Warshall: All-Pairs Shortest Paths

Implement the Floyd-Warshall algorithm to find all-pairs shortest path distances in a directed graph with possibly negative weights but no negative cycles.

graph shortest-path dynamic-programming
+25 pts 30m

Showing 1–8 of 8 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.