</>
pythonbeginner

Functools Cache

Advanced Python pattern: functools-cache

python
from functools import lru_cache

@lru_cache(maxsize=None)
def fib(n: int) -> int:
    if n < 2:
        return n
    return fib(n-1) + fib(n-2)

print(fib(20))

Use Cases

  • advanced programming
  • patterns

Tags

#python#advanced#functools

Related Snippets

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Useful decorator patterns with functools including caching, retry, timing, and rate limiting.

Best for: Adding retry logic to flaky operations

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Memoize Functions with lru_cache

Cache expensive function results automatically using functools.lru_cache.

Best for: Recursive algorithms

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Type Hints

Advanced Python pattern: type-hints

Best for: advanced programming

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Dataclass

Advanced Python pattern: dataclass

Best for: advanced programming

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