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Python Coding
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467 challenges 330 easy 120 medium 17 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

Python Basics medium

Fibonacci(n)

Return the nth Fibonacci number efficiently.

recursion dp memoization

Decorators & Context Managers medium

Memoize with TTL

Implement a decorator that caches function results for a limited time, returning cached values within the TTL and recomputing after expiry.

decorators memoization caching

Decorators & Context Managers medium

LRU Memoize

Implement an LRU memoization decorator that caches results for a fixed number of arguments.

decorators caching lru

Decorators & Context Managers medium

Cache result decorator

Create a decorator that stores results of function calls keyed by positional arguments.

decorators memoization functools

Dynamic Programming medium

Partition Equal Subset

Determine whether a given list of positive integers can be partitioned into two subsets with equal sum.

dynamic-programming subset-sum memoization

Showing 5 challenges · medium

Guide: free Python coding challenges

Practice Python by solving problems

PythonSkillset challenges are hands-on coding exercises from beginner to advanced. Open a challenge, read the problem, write Python in the split-pane editor, and run tests with Pyodide — no install required.

How to use the arena

Pick a category — basics, algorithms, strings, and more
Open a challenge, read the statement, and edit the starter code
Run tests, fix failures, then try a related quiz or tutorial lesson

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.