Encapsulation in OOP
Bundling an object's data and the methods that use it into one class, and controlling access so the data is only changed in safe ways through those methods.
Understanding Encapsulation in OOP in VCE Applied Computing U1O2
What it does: The if statement inside the method controls how the data changes, so only safe values are accepted. Outside code calls a method instead of touching the attribute, so the class can be updated later without rewriting every place that uses it. Encapsulation keeps an object's attributes and the methods that work on them together inside a class. Protecting data lets the class control how it changes, so objects stay valid. A single underscore is only a naming convention in Python. It signals the attribute is meant for internal use. Encapsulation makes maintenance easier because outside code depends on the methods, not the internal details.
Common mistakes: The def line is missing its colon. It should be 'def __init__(self, bal):'. The constructor sets up the object's protected data. Every method in a class needs self as its first parameter so it can reach the object's data. It should be 'def add_points(self, n):'.
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