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

All Easy Medium Hard

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

Functions & Closures medium

Memoize decorator

Implement a @memoize decorator that caches results of a function.

decorators closures caching

Advanced Python medium

Retry decorator

Implement @retry(times=3) that retries a function on exception.

decorators error-handling

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

Cached Property Manual

Implement a decorator that turns a method into a lazy cached attribute per instance.

decorator caching descriptor

Decorators & Context Managers medium

Rate Limit Decorator

Implement a decorator that enforces a maximum number of calls per second for any function.

decorator time rate-limiting

Decorators & Context Managers medium

Cache result decorator

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

decorators memoization functools

Decorators & Context Managers medium

Profile time decorator

Create a decorator that tracks how many times a function is called and its cumulative execution time.

decorators timing profiling

Decorators & Context Managers medium

Benchmark decorator

Implement a benchmarking decorator that records call count and timing statistics per function.

decorators timing functools

Showing 1–9 of 9 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.