#PYTHON(DAY25)data abstraction

 

#PYTHON(DAY25)

Data Abstraction

It hides the unnecessary code details from the user. Also, when we do not want to give out sensitive parts of our code implementation and this is where data abstraction came.

Data Abstraction in Python can be achieved through creating abstract classes.

abstraction

Why Abstraction is Important?

In Python, an abstraction is used to hide the irrelevant data/class in order to reduce the complexity. It also enhances the application efficiency. Next, we will learn how we can achieve abstraction using python programing.

We use the @abstractmethod decorator to define an abstract method or if we don’t provide the definition to the method, it automatically becomes the abstract method.

Syntax:

from abc import ABC  
class ClassName(ABC): 

Example:

# abstract base class work   
from abc import ABC, abstractmethod   
class Car(ABC):   
    def mileage(self):   
        pass  
  
class Tesla(Car):   
    def mileage(self):   
        print("The mileage is 30kmph")   
class Suzuki(Car):   
    def mileage(self):   
        print("The mileage is 25kmph ")   
class Duster(Car):   
     def mileage(self):   
          print("The mileage is 24kmph ")   
  
class Renault(Car):   
    def mileage(self):   
            print("The mileage is 27kmph ")   
          
# Driver code   
t= Tesla ()   
t.mileage()   
  
r = Renault()   
r.mileage()   
  
s = Suzuki()   
s.mileage()   
d = Duster()   
d.mileage()  

And the output is:

The mileage is 30kmph
The mileage is 27kmph 
The mileage is 25kmph 
The mileage is 24kmph