This project demonstrates Encapsulation, one of the four pillars of Object-Oriented Programming (OOP), using both Java and Python.
Defines a simple Student class with two private fields: name and age.
These fields are encapsulated, meaning they cannot be accessed directly from outside the class.
Instead, they can be accessed through public getter and setter methods.
Key ideas:
- Private fields:
private String name;andprivate int age; - Public getters:
getName()andgetAge() - Public setters ensure data validation
Contains the main() method that creates a Student object, sets its properties using setters, and prints the results.
This file demonstrates how to safely interact with encapsulated data.
Provides a Python equivalent of the encapsulation concept using private attributes (with __name) and getter/setter methods.
This repository helps understand:
- How to define and access private attributes in Java and Python.
Encapsulation means hiding data inside a class and controlling access through methods.
Both Python and Java support encapsulation, but they handle it differently.
In Java, encapsulation is strict.
Private variables cannot be accessed directly from outside the class.
The compiler enforces access control, so a private field can only be read or changed through public getter and setter methods.
This guarantees that data remains protected and consistent.
In Python, encapsulation relies on convention rather than enforcement.
A variable with two leading underscores (like __name) becomes name-mangled to prevent accidental access,
but it can still be reached deliberately using its mangled name (for example, _ClassName__name).
Python trusts developers to use this responsibly rather than forbidding access outright.
In summary, Java enforces encapsulation through compiler rules,
while Python uses naming conventions to encourage good practice without strict restriction.