Memoize decorator
Implement a @memoize decorator that caches results of a function.
Memoize with TTL
Implement a decorator that caches function results for a limited time, returning cached values within the TTL and recomputing after expiry.
LRU Memoize
Implement an LRU memoization decorator that caches results for a fixed number of arguments.
Cached Property Manual
Implement a decorator that turns a method into a lazy cached attribute per instance.
Cache result decorator
Create a decorator that stores results of function calls keyed by positional arguments.
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.