How can I improve performance in Python 3.10 using decorators?

How can I improve performance in Python 3.10 using decorators?

You can use decorators to optimize performance by caching results, logging execution time, or modifying function behavior.

Can you show me an example of a caching decorator?

Sure! Here's a simple caching decorator:

import time

cache = {}

def cache_decorator(func):
    def wrapper(*args):
        if args in cache:
            return cache[args]
        result = func(*args)
        cache[args] = result
        return result
    return wrapper

@cache_decorator
def slow_function(x):
    time.sleep(2)  # Simulate a slow computation
    return x * 2

How does this caching decorator work?

The caching decorator stores results of function calls in a dictionary. If the function is called with the same arguments, it returns the cached result instead of recalculating.

Are there any built-in decorators in Python for performance?

Yes, Python has built-in decorators like functools.lru_cache for caching and timeit for measuring execution time.