How can I optimize my Python functions for better performance?

How can I optimize my Python functions for better performance?

You can optimize Python functions by using built-in functions, minimizing loops, and leveraging list comprehensions.

What are some specific techniques I can use?

Consider using memoization, avoiding global variables, and using libraries like NumPy for numerical operations.

How does memoization work?

Memoization stores the results of expensive function calls and returns the cached result when the same inputs occur again.

Can you give me an example of memoization in Python?

Sure! Here's a simple example using a decorator:

def memoize(func):
    cache = {}
    def wrapper(*args):
        if args not in cache:
            cache[args] = func(*args)
        return cache[args]
    return wrapper

@memoize
def fibonacci(n):
    if n < 2:
        return n
    return fibonacci(n-1) + fibonacci(n-2)