Memoize decorator
Implement a @memoize decorator that caches results of a function.
Bind First Argument
Implement bind_first_arg, a decorator that fixes the first argument of any function.
LRU cache decorator
Implement @lru_cache(maxsize=N) for unary functions using OrderedDict.
Retry decorator
Implement @retry(times=3) that retries a function on exception.
Once Decorator: Run a Function Only Once
Implement a decorator that caches and returns the result of the first call for subsequent calls.
Timing Decorator
Implement a decorator that prints the execution time 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.
Rate Limit Decorator
Implement a decorator that enforces a maximum number of calls per second for any function.
Cache result decorator
Create a decorator that stores results of function calls keyed by positional arguments.
Profile time decorator
Create a decorator that tracks how many times a function is called and its cumulative execution time.
Print Args Decorator
Write a decorator that prints function name and arguments, then returns the original result.
Context Decorator Dual
Implement a timing decorator and a context manager that both record elapsed time in seconds.
Showing 14 challenges
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.