Practice Arena

Python Coding Challenges

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

925 challenges 556 easy 323 medium 46 hard
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 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 easy

Pascal Triangle Row

Given a non-negative integer n, return the nth row of Pascal's triangle as a list of integers.

math combinatorics arrays
+10 pts 15m
Data Structures & Algorithms easy

Find Peak Index

Given a list of integers, return the index of any peak element where the value is not smaller than its neighbors.

arrays linear-scan peak
+10 pts 15m
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 easy

Jump Search

Implement the jump search algorithm to locate a target in a sorted list, returning its index or -1.

search sorted list
+10 pts 15m
Data Structures & Algorithms easy

Consecutive available seats

Given a list of seat statuses, return the length of the longest consecutive run of available (0) seats.

arrays sliding-window greedy
+10 pts 15m
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

Showing 1–9 of 9 challenges · easy · 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.