Practice Arena

Python Coding Challenges

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925 challenges 556 easy 323 medium 46 hard
Data Structures & Algorithms medium

BFS level-order traversal

Return the level-order traversal of a binary tree as a list of lists.

BFS trees queues
+28 pts 25m
Data Structures & Algorithms medium

Design Front Middle Back Queue

Implement a data structure that supports push/pop at front, middle, and back of a queue.

queue deque data-structures
+25 pts 30m
Data Structures & Algorithms medium

Level Order Traversal

Implement a function that performs a level order traversal of a binary tree and returns node values as a list of lists.

binary-tree queue bfs
+20 pts 25m
Advanced Python medium

Multiprocessing Queue

Implement a function that uses a multiprocessing queue to compute factorials of a list of numbers in parallel.

multiprocessing queue parallel
+25 pts 25m
Trees & Binary Trees medium

Zigzag Level Order Traversal

Implement a function that returns the zigzag level-order traversal of a binary tree.

binary-tree breadth-first-search queue
+25 pts 25m
Trees & Binary Trees medium

Maximum Width of a Binary Tree

Given the root of a binary tree, compute its maximum width (the maximum number of nodes in any level, counting null positions).

binary-tree breadth-first-search queue
+25 pts 25m
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

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
Greedy Algorithms medium

Queue Reconstruction by Height

Given shuffled pairs of (height, number_of_taller_people_in_front), reconstruct the original queue order.

greedy sorting insertion
+25 pts 25m
Heaps & Priority Queues medium

Kth Largest Element in an Array (Heap Edition)

Implement a function that returns the kth largest element in an unsorted integer array using a heap.

heap priority-queue array
+20 pts 25m
Heaps & Priority Queues medium

Task Scheduler Heap

Given a list of tasks and a cooldown, find the minimum number of CPU intervals needed to schedule all tasks without violating the cooldown.

heap queue greedy
+30 pts 25m
Heaps & Priority Queues medium

Find K pairs with smallest sums

Given two sorted arrays and an integer k, return the k smallest pairs (u, v) with the smallest sums, sorted by sum.

heap priority queue two-sum
+25 pts 30m
Heaps & Priority Queues medium

Maximum Average Pass Ratio

Given class pass/total counts and extra students, maximize the average pass ratio by assigning extra students optimally.

heap priority-queue greedy
+25 pts 25m
Heaps & Priority Queues medium

Minimum Cost to Connect Sticks

Compute the minimum total cost to connect all sticks into one stick by repeatedly combining two sticks with the smallest lengths.

heap priority queue greedy
+25 pts 25m
Matrix & 2D Arrays medium

01 Matrix Nearest Zero

Given a binary matrix, return a matrix of the same shape where each cell contains the Manhattan distance to the nearest 0.

matrix bfs distance
+25 pts 30m
Matrix & 2D Arrays medium

Rotting Oranges Time

Given a grid of fresh, rotten, and empty cells, compute the minimum minutes until all fresh oranges rot, or -1 if some are unreachable.

bfs grid simulation
+25 pts 25m

Showing 1–17 of 17 challenges · medium

Guide: free Python coding challenges

Practice Python by solving problems

PythonSkillset challenges are hands-on coding exercises from beginner to advanced. Open a challenge, read the problem, write Python in the split-pane editor, and run tests with Pyodide — no install required.

How to use the arena

  1. Pick a category — basics, algorithms, strings, and more
  2. Open a challenge, read the statement, and edit the starter code
  3. Run tests, fix failures, then try a related quiz or tutorial lesson

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.