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Object-Oriented Programming (OOP) is a powerful paradigm that enables you to build complex systems using reusable components called objects. Two fundamental OOP concepts are abstraction and data hiding.
These techniques help simplify your code by reducing complexity and increasing readability, making it easier to understand and maintain over time. This article will explore these two essential ideas with practical Python examples.
Prerequisites
To follow along with this tutorial, familiarity with basic Python syntax and classes is required. If you need a refresher on either of those topics, consider checking out our beginner’s guide to Python or exploring Python classes first.
Abstraction
Abstraction means representing an object or concept at a high level while ignoring unnecessary details. It helps us focus on what’s important rather than getting lost in intricate implementation specifics. By abstracting away lower-level functions and properties, we can design simpler interfaces that make code easier to grasp and work with.
