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.
Context Manager Class
Implement a context manager class that measures execution time and sets duration, with None if an exception occurred.
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.
File Open Context Manager
Create a class that acts as a context manager for opening a virtual file in memory.
Temporary directory manager
Implement a context manager that creates a temporary directory and automatically removes it even on errors.
Timer Context Manager
Implement a context manager that measures execution time of a with block and stores it.
Suppress stderr manager
Implement a context manager that suppresses all output written to stderr during its block.
Context Decorator Dual
Implement a timing decorator and a context manager that both record elapsed time in seconds.
Showing 15 challenges · Decorators & Context Managers
Decorators & Context Managers — Python coding challenges
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This page lists decorators & context managers 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.
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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.