Object-oriented programming organizes state and the functionality that acts on it into objects. This reduces the coordination problem that appears when the same functions must work with multiple, distinct stateful contexts. section 4.0 section 4.1
The central ideas fit together as a practical design vocabulary:
- A class defines the structure, data, and functionality of an object. section 4.1 section 4.3
- An instance is a concrete realization of a class, with behavior that operates on its state. section 4.3
- Inheritance reuses attributes and features from a parent class, while composition adds attributes or functionality without forcing an awkward hierarchy. section 4.3
From separate data to behaving objects
Suppose several functions must process different stateful data contexts. Passing the data through consistent function signatures can work, but keeping each context connected to the right functions becomes harder. A class instead defines an object whose data and methods belong together. The class is like a cookie cutter; each instance is a concrete cookie with the defined structure and behavior. section 4.0 section 4.3
In Python, OOP is one option among several programming styles. It works alongside structured, procedural, functional, and event-driven approaches, allowing the design to match the problem rather than forcing every program into one model. section 1.3.1
