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python-p3-conclusion-to-object-inheritance's Introduction

Conclusion to Object Inheritance

Learning Goals

  • Reduce repeated code and enhance objects using inheritance.
  • Accomplish complex programming tasks using knowledge from previous modules.

Key Vocab

  • Inheritance: a tool that allows us to recycle code by creating a class that "inherits" the attributes and methods of a parent class.
  • Composition: a tool that enables you to recycle code by adding objects to other objects. Rather than building on a base class as in inheritance, composition leverages the attributes and methods of an instance of another class.
  • Subclass: a class that inherits from another class. Colloquially called a "child" class.
  • Superclass: a class that is inherited by another class. Colloquially called a "parent" class.
  • Child: another name for a subclass.
  • Parent: another name for a superclass.
  • super(): a built-in Python function that allows us to manipulate the attributes and methods of a superclass from the body of its subclass.
  • Decorator: syntax that allows us to add functionality to an object without modifying its structure.

Conclusion

Inheritance is a common concept in our everyday lives, and, over the last several lessons, we saw how Python implements it: by creating a family of classes with shared behavior while still differentiating those classes. Because of inheritance, we can define basic Python classes with large reusability, along with smaller subclasses for more detailed behaviors. We can also take advantage of inheritance by coding multiple, non-repetitive methods that cut down on the total amount of code needed while also cleaning and optimizing the code we do need. We also looked at how we can use the super() function to inherit from and extend methods in the parent class. Finally, we took a closer look at Python functions and learned how to avoid repeated code in our functions with decorators.

You'll encounter inheritance in nearly every program you write.


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