Improving performance

Improving performance is a common task but can be tricky to achieve. Usually, you need specific tools to measure performance, and you need to know what to measure. A good way to find out how to improve your code in this way is to use a decorator to profile how long a method takes to execute. Then, you can measure specific methods and find out which methods to improve.

Here’s an example of a decorator being used on a function that sleeps for 2 seconds:

import time
def profile(func):
    def wrapper(*args, **kwargs):
        start = time.time()
        result = func(*args, **kwargs)
        end = time.time()
        print(f'{func.__name__} took {end - start} seconds')
        return result
    return wrapper
@profile
def sleep_two_seconds():
    time.sleep(2)
sleep_two_seconds()

The profile function is a decorator that takes a function as input and returns a function that wraps the input function. The wrapper function measures the...