def my_decorator(func):
 def wrapper():
 print("Something is happening before the function is called.")
 func()
 print("Something is happening after the function is called.")
 return wrapper

@my_decorator
def say_hello():
 print("Hello!")

say_hello()
 

def infinite_sequence():
 num =0
0.5rem;
 }
 .example-output {
 background-color: #f7f7f7;
 padding: 1rem;
 border: 1px solid #ddd;
 border-radius: 0.5rem;
 }
 
 
 
 

 
 
 

 

 
Mastering Python Programming
 
Take your Python skills to the next level with our comprehensive guide.
 Toggle Dark Mode
 
 

 
Introduction to Advanced Python Concepts
 
In this guide, we'll explore advanced Python topics, including decorators, generators, and asynchronous programming.
 
Decorators
 
Decorators are a powerful feature in Python that allow programmers to modify the behavior of function or class.
 

 
def my_decorator(func):
 def wrapper():
 print("Something is happening before the function is called.")
 func()
 print("Something is happening after the function is called.")
 return wrapper

@my_decorator
def say_hello():
 print("Hello!")

say_hello()
 
 
 

 
Output:
 
Something is happening before the function is called.
Hello!
Something is happening after the function is called.
 
 
 
Generators
 
Generators are a type of iterable, similar to lists or tuples, but they don't allow indexing.
 

 
def infinite_sequence():
 num = 0
 while True:
 yield num
 num += 1

gen = infinite_sequence()
print(next(gen))  # prints: 0
print(next(gen))  # prints: 1
 
 
 

 
Output:
 
0
1
 
 
 
Asynchronous Programming
 
Asynchronous programming allows your program to perform multiple tasks concurrently.
 

 
import asyncio

async def main():
 print('Hello ...')
 await asyncio.sleep(1)
 print('... World!')

# Python 3.7+
asyncio.run(main())
 
 
 

 
Output:
 
Hello ...
... World!