- Published at
Learn how to use Python decorators to measure function execution time, enhancing debugging and performance analysis. This tutorial provides a clear explanation for intermediate learners.
In essence, a decorator is a function that takes another function as an argument and returns a modified version of that function. They use the @ symbol followed by the decorator’s name above the function definition they are applied to.
Think of them as wrappers around functions. The wrapper adds functionality before or after the original function executes, or even modifies its arguments or return value. This promotes code reusability and avoids repetitive boilerplate code.
Real-world contexts: Decorators are commonly used for: