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791 challenges 498 easy 262 medium 31 hard

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All Python Basics Strings & Text Lists & Arrays Dicts & Sets Functions & Closures OOP & Classes Data Structures & Algorithms Advanced Python Iterators & Generators Decorators & Context Managers Error Handling & Exceptions Regular Expressions Math & Number Theory Bit Manipulation Dynamic Programming Trees & Binary Trees Graphs & Graph Algorithms Recursion & Backtracking Greedy Algorithms Binary Search Two Pointers & Sliding Window Stacks & Queues Heaps & Priority Queues Linked Lists Matrix & 2D Arrays Datetime & Time Calculations Data Formats & Parsing SQL & SQLite Numpy & Vectorized Computing Cryptography & Hashing

Data Structures & Algorithms easy

Binary search

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

searching binary-search

Data Structures & Algorithms easy

Exponential Search

Implement exponential search to find any valid index of a target in a sorted list.

searching sorted-array algorithms

Data Structures & Algorithms easy

Merge Two Sorted Lists

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

merge sorting lists

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

Showing 4 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.