Encapsulation and Privacy in Python: Securing Your Classes
Lesson Overview
Hello! In this lesson, we're revisiting Encapsulation, Private Attributes, and Private Methods in Object-Oriented Programming (OOP). Imagine encapsulation as an invisible fence safeguarding a garden from outside interference, keeping data and methods safe within. Within this garden, certain plants (Private Attributes and Methods) are only for the gardener's eyes. These are crucial for making your classes more robust and secure!
Into the Encapsulation
Encapsulation in OOP wraps up data and methods into a class. This organizational approach tidies the code and reinforces security. If you were to code a multiplayer game, for example, you could create a Player class, encapsulating data (health, armor, stamina) and methods (receive_damage, shield_hit, restore_health).
Now, player is an instance of the Player class on which you can call methods.
Private Attributes
Private Attributes, which can only be altered via class methods, limit outside interference. For instance, a BankAccount class might feature a balance private attribute that one could change only through deposits or withdrawals.
Here, __balance is private, thus ensuring the integrity of the account balance.
Private Methods
Like private attributes, private methods are accessible only within their class. Here's an example:
Here, add_yearly_interest is a public method that calls the private method __add_interest.
