Four Core OOP Ideas in Python Explained with Simple Examples

This tutorial introduces object-oriented programming, which organizes code around objects built from classes, comparing a class to a blueprint and an object to what it produces. It walks through a basic Dog class to show how the constructor sets up initial data and how methods act on that data. The four core principles are then covered: encapsulation, which keeps data and behavior together and guards access, and inheritance, which lets a child class reuse a parent's code. Polymorphism is shown through different classes responding to the same method name in their own way, while abstraction hides internal complexity behind a simple interface. The article closes with a recap table and notes that future posts will cover abstract base classes and name mangling.