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Python Coding Challenges

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925 challenges 556 easy 323 medium 46 hard
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

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 hard

Swim in Rising Water

Find the minimum time needed to swim from the top-left to the bottom-right of a grid where water level rises and you can only move to cells with elevation ≤ current time.

graph minimax priority-queue
+30 pts 20m
Graphs & Graph Algorithms medium

Prim's Minimum Spanning Tree

Given a connected undirected weighted graph, compute the total weight of its minimum spanning tree using Prim's algorithm.

graphs mst prim
+30 pts 30m
Graphs & Graph Algorithms medium

Kruskal MST

Implement Kruskal's algorithm to compute the total weight of a minimum spanning tree in a connected undirected graph.

graphs minimum-spanning-tree union-find
+25 pts 30m
Graphs & Graph Algorithms medium

Minimum Height Trees

Given an undirected tree, find all root nodes that minimize the height of the tree.

graphs bfs topological
+30 pts 30m
Graphs & Graph Algorithms medium

Open the Lock BFS

Implement a BFS solution to find the minimum number of turns needed to open a 4-wheel lock, avoiding a set of deadends.

bfs strings graph
+25 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

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.