Python OOP Day 2: How Encapsulation and Abstraction Work in Practice

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A tutorial published on DEV Community covers two fundamental Object-Oriented Programming concepts in Python: encapsulation and abstraction. Encapsulation involves hiding an object's internal state and controlling access through validated methods, while abstraction exposes only a clean interface to the user. Unlike Java or C++, Python enforces access control through naming conventions — single underscores for protected attributes and double underscores for private ones, the latter triggering name mangling. The guide also demonstrates Python's @property decorator as a cleaner alternative to traditional getter and setter methods, enabling validation and read-only constraints. Abstract base classes are introduced to define mandatory method contracts that all subclasses must implement.

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