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Encapsulation

Encapsulation is a fundamental principle of object-oriented programming (OOP) that binds together data (attributes) and the methods that operate on that data into a single unit, a class. This binding creates a protective shield that prevents data from being accessed by the code outside this shield.

Key Concepts:

Example:

Python

class BankAccount:
    def __init__(self, initial_balance):
        self.__balance = initial_balance  # Private attribute

    def deposit(self, amount):
        self.__balance += amount
        print(f"Deposited {amount}. New balance: {self.__balance}")

    def withdraw(self, amount):
        if  amount <= self.__balance:
            self.__balance -= amount
            print(f"Withdrew {amount}. New balance: {self.__balance}")
        else:
            print("Insufficient funds")

    def get_balance(self):
        return self.__balance 

In this example:

Benefits of Encapsulation:

By encapsulating data and methods within a class, you create a well-defined and protected unit, making your code more robust and reliable.

Why is encapsulation important?

It protects data integrity, improves code modularity, and enhances code maintainability.

How is data hiding achieved in encapsulation?

By making class attributes private and providing public methods to access and modify them.

What are access modifiers?

Access modifiers (like public, private, protected) control the visibility of class members.

Can I access private members from outside the class?

No, private members are only accessible within the class.

How does encapsulation improve code reusability?

By creating well-defined objects with clear responsibilities.

How does encapsulation enhance security?

By protecting sensitive data from unauthorized access.

When should I use encapsulation?

Whenever you want to protect data and create well-defined objects.

How can I balance encapsulation with code readability?

Use meaningful names for methods and attributes, and provide clear documentation.

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