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Practice Arena

Python Coding Challenges

Write real Python in the browser. Instant feedback. From beginner to expert.

56 challenges 25 easy 23 medium 8 hard
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Data Structures & Algorithms easy

Valid parentheses

Return True if brackets in the string close in the correct order.

stack strings
+15 pts 14m
Data Structures & Algorithms easy

Binary search

Return the index of target in a sorted list, or -1 if not present.

searching binary-search
+12 pts 12m
Data Structures & Algorithms medium

Quicksort

Implement quicksort and return a sorted list.

sorting recursion divide-and-conquer
+25 pts 25m
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

Coin change (DP)

Find the minimum number of coins to make exactly the target amount.

dp greedy
+30 pts 28m
Data Structures & Algorithms hard

LRU cache decorator

Implement @lru_cache(maxsize=N) for unary functions using OrderedDict.

decorators caching OrderedDict
1
+50 pts 40m
Data Structures & Algorithms medium

Graph DFS

Return all nodes reachable from a start node via DFS.

graph DFS recursion
+28 pts 25m
Data Structures & Algorithms hard

Longest increasing subsequence

Return the length of the longest strictly increasing subsequence.

dp binary-search LIS
+45 pts 40m
Data Structures & Algorithms hard

Topological sort (Kahn)

Return a valid topological ordering of tasks, or [] if a cycle exists.

graph BFS topological-sort
+45 pts 40m
Data Structures & Algorithms hard

Word ladder length

Return the length of the shortest transformation from beginWord to endWord changing one letter at a time.

BFS graph strings
+45 pts 40m

Showing 10 challenges · Data Structures & Algorithms

Data Structures & Algorithms — Python coding challenges

What you will find here

This page lists data structures & 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.