Have you used the functools module in your projects?

Yes, the functools module in Python is often used for working with higher-order functions and optimization. For example, the @lru_cache decorator from functools allows caching of function call results, which speeds up repeated calculations.

Example of using lru_cache:

from functools import lru_cache

@lru_cache(maxsize=32)
def fibonacci(n):
    if n < 2:
        return n
    return fibonacci(n-1) + fibonacci(n-2)

print(fibonacci(10))  # Fast calculation thanks to caching

Also, functools includes tools for partial application of functions (partial), combining comparisons (total_ordering), and other useful utilities.