- Inheritance allows new classes to use features from existing ones, promoting cleaner and more organized code.
- The superclass, or base class, contains common features shared by multiple classes.
- Subclasses, or derived classes, inherit features from the superclass and can have additional unique features.
- Inheritance avoids code duplication by allowing subclasses to reuse methods from the superclass.
- The relationship between classes becomes more intuitive with inheritance, reflecting real-life hierarchies.
- In Python, a class can inherit from another class using the syntax class Subclass(Superclass):.
- Methods defined in the superclass can be used by instances of the subclass without redefining them.
- Subclasses can have unique methods that are not present in the superclass.
- The "is a" relationship in OOP shows that a subclass is a specialized version of the superclass.
- Constructors of the superclass can be called within the subclass using super().__init__().
- Method overriding allows a subclass to provide a specific implementation for a method already defined in its superclass.
- Method overloading in Python is achieved through default parameter values and variable-length arguments.
- UML diagrams help visualize the inheritance relationships and the structure of classes.
- UML class diagrams serve as documentation and aid in understanding the system’s architecture.
- Class diagrams facilitate better communication among team members, ensuring a shared understanding of the system's structure.
Python Programming
-
- 8-1. Why Functions?
- 8-2. The Syntax of Function Definition
- 8-3. Void Functions and Value Returning Functions
- 8-4. Function Arguments and Parameters
- 8-5. The if __name__ == "__main__": Statement
- 8-6. The yield Statement
- 8-7. Nesting Function Calls
- 8-8. Calling from the Call
- Summary
- Programming Exercises
Summary
Last updated: April 22, 2025