Object-oriented programming (OOP) focuses on creating reusable patterns of code, in contrast to procedural programming, which focuses on explicit sequenced instructions. When working on complex programs in particular, object-oriented programming lets you reuse code and write code that is more readable, which in turn makes it more maintainable.
In this tutorial, we’ll go through creating classes, instantiating objects, initializing attributes with the constructor method, and working with more than one object of the same class.
Object-oriented programming allows for variables to be used at the class or instance level. This tutorial will demonstrate the use of both class and instance variables in object-oriented programming in Python.
This tutorial will go through some of the major aspects of inheritance in Python, including how parent classes and child classes work, how to override methods and attributes, how to use the super() function, and how to make use of multiple inheritance.
Polymorphism allows for flexibility and loose coupling so that code can be extended and easily maintained over time.
This tutorial will go through applying polymorphism to classes in Python.