How to Bundle Attributes and Methods with Encapsulation

Encapsulation refers to the bundling of an object's data (attributes) and the methods that operate on that data into a single unit.

This allows us to hide the object's internal implementation and protect the data from improper external access.

In Python, you can implement encapsulation by prefixing attribute names with __ to make them private attributes.

Copy
class ClassName:
    # Constructor
    def __init__(self):
        # Private attribute
        self.__private_attr = 0

In the code above, __private_attr is a private attribute that cannot be accessed directly from outside the class.

It is customary to use two underscores (_) to define private attributes in Python.

Encapsulation plays the following roles in object-oriented programming:

• Providing an Interface: An interface is a point of interaction for different systems or objects. Through encapsulation, you can interact with objects using provided methods without needing to know how the object works internally.

• Data Protection: It safeguards important data of the object from unauthorized access.

The following code example defines an Account class representing a bank account and safely manages the account balance through encapsulation.

Copy
class Account:
    def __init__(self, balance):
        # Private attribute
        self.__balance = balance

    # Deposit method
    def deposit(self, amount):
        if amount > 0:
            self.__balance += amount
        return "Invalid deposit amount."

    # Balance inquiry method
    def get_balance(self):
        return f"Current balance: ${self.__balance}"

# Create account with initial balance of $10000
account = Account(10000)
# Deposit $5000
account.deposit(5000)
# Check balance
print(account.get_balance())

In this example, __balance is set as a private variable, making it inaccessible directly from outside the class.

Instead, you can safely manipulate or verify this variable through the deposit and get_balance methods.