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.
Temporary directory manager
Implement a context manager that creates a temporary directory and automatically removes it even on errors.
Context manager from generator
Implement a context manager that yields a value and ensures cleanup, using a generator-based approach.
Benchmark decorator
Implement a benchmarking decorator that records call count and timing statistics per function.
Showing 1–9 of 9 challenges · medium · 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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