Classes define new data types from "summary" of Python Programming by John M. Zelle
Classes in Python provide a way to bundle data and functionality together. They allow us to define our own data types with their own attributes and methods. By defining a class, we are essentially creating a blueprint for objects of that type. Think of a class as a template for creating objects. When we create an object from a class, we are instantiating that class. This means that we are creating a specific instance of the class with its own unique attributes. Each instance of a class has its own set of attributes that can be accessed and modified independently of other instances. In Python, classes are defined using the `class` keyword, followed by the name of the class. Inside the class definition, we can define attributes (variables) and methods (functions) that are associated with the class. Attributes represent the data that the class holds, while methods represent the actions that can be performed on the data. To access the attributes and methods of a class, we use dot notation. This means that we use the name of the object followed by a dot and then the name of the attribute or method. This allows us to interact with the data and functionality defined within the class. One of the key benefits of using classes is that they help us manage complexity in our programs. By organizing related data and functionality into classes, we can create a more modular and maintainable codebase. Classes also promote code reusability, as we can create multiple instances of a class to represent different objects with similar characteristics.- Classes are a fundamental concept in object-oriented programming that allow us to define new data types in Python. By encapsulating data and functionality within classes, we can create more structured and efficient programs that are easier to understand and maintain.
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