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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 easy

Selection Sort Implementation

Implement selection sort to sort a list of numbers in ascending order.

sorting selection-sort algorithm
+10 pts 15m
Data Structures & Algorithms easy

Merge Two Sorted Lists

Write a function that merges two sorted lists into a single sorted list.

merge sorting lists
+10 pts 15m
Data Structures & Algorithms easy

Delete Old Records

Filter a list of records by removing those with a date older than a given cutoff date.

filtering datetime lists
+8 pts 10m
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
Data Structures & Algorithms hard

Merge K Sorted Lists

Write a function that merges multiple sorted lists into a single sorted list.

merge sorting heap
+45 pts 40m
Data Structures & Algorithms easy

Memory view slice

Implement chunk_list that splits a list into consecutive sublists of a given chunk size.

slicing lists chunking
+10 pts 15m

Showing 1–9 of 9 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.