Practice Arena

Python Coding Challenges

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

Index of peak element

Implement a function that returns the index of any peak element in a given integer array.

arrays search peak
+10 pts 15m
Data Structures & Algorithms medium

Find Peak Element

Implement a function that returns the index of any peak element in an integer array.

arrays search binary-search
+20 pts 25m
Data Structures & Algorithms medium

Merge Sort

Implement merge_sort(numbers) that returns a sorted copy of the input list using the merge sort algorithm.

sorting recursion divide-and-conquer
+30 pts 30m
Data Structures & Algorithms easy

Peak Element in Array

Implement a function that returns the index of any peak element in a list of integers.

array search indices
+10 pts 15m
Data Structures & Algorithms medium

Online Stock Span

Implement StockSpanner.next(price) that returns the maximum number of consecutive days (including today) with price <= current price.

stack monotonic-stack stock-span
+20 pts 25m
Data Structures & Algorithms medium

Top N per group

Implement top_n_per_group that returns the top N scores for each group from a list of (group, score) pairs.

sorting grouping dictionaries
+25 pts 25m
Data Structures & Algorithms easy

Argsort Indices

Implement a function that returns the indices that would sort a list of integers, with ties broken by original order.

sorting indices lists
+8 pts 10m
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

Showing 1–8 of 8 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.