www.xbdev.net
xbdev - software development
Thursday April 17, 2025
Home | Contact | Support | Python Language... Power of the Snake .. ..
     
 

Python Language...

Power of the Snake .. ..

 


Python is full of symbols - one of the most uknown is the at symbol (@). Image illustrates all the different symbol characters ...
Python is full of symbols - one of the most uknown is the at symbol (@). Image illustrates all the different symbol characters in Python drawn in different colors, sizes and position. Can you spot the @ symbol?


How (At Symbol) @ Works In Python


Let's break it down loosy-goosy-style, no holds barred:

So, you slap an "@" in front of a function, like so:

@print
def hi(): pass


Then you run it, and bam! It spits out ``. But hold up, you didn't see no `print()` in there? Don't sweat it, here's the lowdown:

@print()
def hi(): pass


It's just like:

def hi(): pass

hi 
= print(hi)


Because of that "@" symbol, our little `print(hi)` party gets started – that's why our `hi()` function is getting cozy with the screen.

Now, let's talk shop – Decorator VS Decoratee:

@something
def hello
():
  
# do stuff


Here, something's the big shot decorator function, and hello's the one getting dolled up – the decoratee function.

And how does it go down? Like this:

hello something(hello)


Our decorator something's like, "Hey there, hello, let me jazz you up a bit," and voila!

Now, a less pointless example:

def hi(name):
  return 
'hello ' name


Say you wanna spice up `hi(name)` without messin' with its insides. Time to play decorator!

def add_exclamation(function):
  
def wrapper(name):
    return function(
name) + '!'
  
return wrapper

@add_exclamation
def hi
(name):
  return 
'hello ' name


Boom! We just gave `hi(name)` a makeover without touchin' its code.

print(hi('tom'))

# hello tom!


See that extra exclamation? That's the work of our decorator – add_exclamation.

In summary, the "@" symbol is primarily used as a decorator syntax in function definitions, allowing functions to modify or extend the behavior of other functions or methods. When placed before a function definition, it indicates that the following function will be used as a decorator, which means it will wrap around or modify the behavior of the function immediately below it. Decorators are commonly employed for tasks such as logging, authorization, caching, and more, providing a concise and elegant way to enhance the functionality of functions without modifying their core code. Additionally, the "@" symbol is also used in matrix multiplication operations introduced in Python 3.5, where it serves as a concise and intuitive operator for performing matrix multiplications between two arrays or matrices using the `numpy` library.























 
Advert (Support Website)

 
 Visitor:
Copyright (c) 2002-2025 xbdev.net - All rights reserved.
Designated articles, tutorials and software are the property of their respective owners.