7/18/24, 10:46 AM 9.3-Decorators.
ipynb - Colab
keyboard_arrow_down Decorators
Decorators are a powerful and flexible feature in Python that allows you to modify the behavior of a function or class method. They are
commonly used to add functionality to functions or methods without modifying their actual code. This lesson covers the basics of decorators,
including how to create and use them.
### function copy
### closures
### decorators
## function copy
def welcome():
return "Welcome to the advanced python course"
welcome()
'Welcome to the advanced python course'
wel=welcome
print(wel())
del welcome
print(wel())
Welcome to the advanced python course
Welcome to the advanced python course
##closures functions
def main_welcome(msg):
def sub_welcome_method():
print("Welcome to the advance python course")
print(msg)
print("Please learn these concepts properly")
return sub_welcome_method()
main_welcome("Welcome everyone")
Welcome to the advance python course
Welcome everyone
Please learn these concepts properly
def main_welcome(func):
def sub_welcome_method():
print("Welcome to the advance python course")
func("Welcome everyone to this tutorial")
print("Please learn these concepts properly")
return sub_welcome_method()
main_welcome(print)
Welcome to the advance python course
Welcome everyone to this tutorial
Please learn these concepts properly
def main_welcome(func,lst):
def sub_welcome_method():
print("Welcome to the advance python course")
print(func(lst))
print("Please learn these concepts properly")
return sub_welcome_method()
main_welcome(len,[1,2,3,4,5])
Welcome to the advance python course
5
Please learn these concepts properly
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7/18/24, 10:46 AM 9.3-Decorators.ipynb - Colab
len([1,2,3,4,5,6])
### Decorator
def main_welcome(func):
def sub_welcome_method():
print("Welcome to the advance python course")
func()
print("Please learn these concepts properly")
return sub_welcome_method()
def coure_introduction():
print("This is an advanced python course")
coure_introduction()
This is an advanced python course
main_welcome(coure_introduction)
Welcome to the advance python course
This is an advanced python course
Please learn these concepts properly
@main_welcome
def coure_introduction():
print("This is an advanced python course")
Welcome to the advance python course
This is an advanced python course
Please learn these concepts properly
## Decorator
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()
Something is happening before the function is called.
Hello!
Something is happening after the function is called.
## Decorators WWith arguments
def repeat(n):
def decorator(func):
def wrapper(*args, **kwargs):
for _ in range(n):
func(*args, **kwargs)
return wrapper
return decorator
@repeat(3)
def say_hello():
print("Hello")
say_hello()
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7/18/24, 10:46 AM 9.3-Decorators.ipynb - Colab
Hello
Hello
Hello
keyboard_arrow_down Conclusion
Decorators are a powerful tool in Python for extending and modifying the behavior of functions and methods. They provide a clean and readable
way to add functionality such as logging, timing, access control, and more without changing the original code. Understanding and using
decorators effectively can significantly enhance your Python programming skills.
Start coding or generate with AI.
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