Python Decorators — Explain Like I'm 5

Magic Stickers for Your Functions

Imagine every function in your program is a toy robot with one job:

• one robot says hello
• one robot saves data
• one robot sends an email

Now imagine you have special stickers:

• a “log it” sticker that writes down every time a robot works
• a “guard” sticker that checks if a person has permission
• a “timer” sticker that measures how long the robot takes

A decorator is one of those stickers.

You place it above a function, and Python wraps that function with extra behavior. The function still does its main job, but now it also gets the sticker’s power.

def loud(func):
    def wrapper():
        print("Starting!")
        func()
        print("Done!")
    return wrapper

@loud
def wave():
    print("👋")

wave()

Output:

• Starting!
• 👋
• Done!

The wave function did not change inside. We just gave it a wrapper.

Why this is useful

Without decorators, you would copy the same “check permission” or “print logs” code into many functions. That gets messy fast.

With decorators, you write that extra behavior once and reuse it everywhere.

One Thing to Remember

A decorator is a reusable wrapper: it adds behavior around a function before and after it runs, while keeping the original function code clean.