[Python Decorators] Cache
By hientd, at: 2023年5月2日18:00
Optimizing Performance with the Cache Decorator in Python
The Cache Decorator
The cache
decorator in Python helps optimize performance by storing the results of expensive function calls and returning the cached result when the same inputs occur again. This is particularly useful for functions that are called frequently with the same arguments.
Here's how you can use the cache
decorator:
from functools import cache
@cache
def fib(n):
if n < 2:
return n
return fib(n-1) + fib(n-2)
print(fib(10)) # Output: 55
Explanation
- @cache: This decorator automatically caches the results of the decorated function.
- fib function: A simple Fibonacci function, which benefits from caching as it avoids redundant calculations.
Benefits
- Performance: Reduces computation time for expensive or frequently called functions.
- Efficiency: Saves resources by avoiding repeated calculations.
Use Cases
- Mathematical Computations: Functions that perform heavy computations with overlapping subproblems.
- APIs: Caching API responses to reduce load and latency.
Conclusion
Using the cache
decorator can significantly improve the performance of your Python applications by caching results of expensive function calls, making your code more efficient and faster.
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