🔐 Dive into Python OOP: Access Modifiers & Encapsulation Explained Simply | by PrabhSehgal | Jul, 2025

One of the vital highly effective options of Object-Oriented Programming (OOP) in Python is information safety — and that’s precisely the place Entry Modifiers and Encapsulation are available in.

On this weblog, I discover:

🧩 Public, Protected, and Non-public Variables

Perceive how Python handles variable entry, and why entry management is important when designing scalable and safe packages. You’ll study the distinction between:

• public variables — open to all
• protected variables — meant for use inside subclasses
• personal variables — restricted to the category itself

class Individual:
def __init__(self,identify,age,gender):
self._name= identify      ## protected variables
self._age=age         ## protected variables
self.gender=gender    ## public variables
## we can't entry these variables from exterior the category however we will entry then from Derived class.
class Worker(Individual):
def __init__(self,identify,age,gender):
tremendous().__init__(identify,age,gender)
worker= Worker("Prabh",23,"Male")
print(worker._name)

🔁 Getter and Setter Strategies

See tips on how to entry and replace personal variables safely utilizing particular strategies, avoiding the danger of breaking inside logic from exterior interference.

## Encapsulation with Getter n Setter
class Individual:
def __init__(self,identify,age):
self.__name=identify        ## Non-public variable
self.__age=age          ## Non-public variable
## Getter technique for identify
def get_name(self):
return self.__name
## Setter technique for identify
def set_name(self,identify):
self.__name= identify
## Getter technique for age
def get_age(self):
return self.__age   
## Setter technique for age      Its is use to alter the worth.
def set_age(self,age):
if age > 0:
self.__age = age 
else:
print("Age can't be detrimental.")  
particular person= Individual('Prabh',23)
## Entry and modify personal variables utilizing getter n setter technique
print(particular person.get_name()) 
print(particular person.get_age())
print(particular person.set_age(24))
print(particular person.get_age()) 
print(particular person.set_age(-4))               

🛡️ Encapsulation in Motion

You’ll discover real-life Python examples like a Individual and Worker class to see how encapsulation protects class information, promotes modular code, and reinforces cleaner programming construction.

👨‍💻 Whether or not you’re simply beginning with OOP or wish to reinforce your core Python information, this publish will allow you to write cleaner, safer, and extra organized code.

💬 Be at liberty to share your ideas or questions within the feedback — let’s study and develop collectively!

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