Python - Decorators

Decorators Python Code

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Overview

If you’ve ever glanced at a decorator and felt your mind beginning to liquefy, you’re in good company. They can seem a bit like magic at first. But here’s the thing: consider decorators as those fancy add-ons you can put on your functions. Need to time how long a function takes? There’s a decorator for that. Want to add logging? Another decorator! It’s like upgrading your functions with superpowers.

Here’s where it gets crucial: decorators save you from writing repetitive boilerplate code. Need to perform the same setup steps for multiple functions? A well-crafted decorator takes care of that for you. It’s the coding equivalent of getting a cool new outfit and instantly being ready for a night out.

Code

def my_timer(func):
    import time
    def wrapper(*args, **kwargs):
        start = time.time()
        result = func(*args, **kwargs)
        end = time.time()
        print(f"{func.__name__} took: {end-start:.4f} seconds")
        return result
    return wrapper
 
@my_timer  # Look, no messy setup!
def slow_function(n):
    time.sleep(n)

Decorators are fantastic, but just like you wouldn’t wear a tuxedo to the grocery store, use them wisely. Too many piled on will make your code harder to understand.

Details

See Also

• Python Map of Content
• Python Code
• Tool - Python
• Tool - Python Flask

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Appendix

Note created on 2024-04-15 and last modified on 2024-04-15.

Backlinks

LIST FROM [[Python - Decorators]] AND -"CHANGELOG" AND -"04-RESOURCES/Code/Python/Python - Decorators"

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