Think back to when we first created a string and then called a method like .format() – the data that is within the quotation marks is this classes attribute, while the .format method is one of the classes methods.
Python
Object-oriented programming (OOP) is a programming paradigm that is based on the concept of “objects”, which can contain data and code that manipulates that data. In Python, an object is a collection of data and functions that act on that data.
An object is created from a class, which is a template or blueprint for the object. The class defines the characteristics of the object, including its data and behavior. When an object is created from a class, it is called an instance of the class.
In Python, all data is contained in objects or data types. Even simple variables such as integers and strings are objects in Python, with their own methods and properties. When you create a variable in Python, you are actually creating an object.
Think back to when we first created a string and then called a method like .format() – the data that is within the quotation marks is this classes attribute, while the .format method is one of the classes methods.
OOP allows you to create reusable code, as you can create a class and then use it to create multiple objects with similar characteristics. This can save time and make your code easier to read and understand.
One example of object-oriented programming in real-world life is a computer system. A computer system can be thought of as an object, with various attributes such as processing speed, memory size, and operating system. It also has various methods or functions, such as the ability to launch applications, connect to the internet, and save and retrieve files.
OOP allows us to model real-world objects and their behavior in a way that is organized, reusable, and scalable.
