Object-Oriented Programming (OOP) in Python structures software using objects that model real-world entities. A class acts as a blueprint, defining an object's attributes (data) and methods (behavior). This approach moves beyond scattered, procedural code to create organized, reusable components.

Early programming relied on linear scripts, which became unmanageable 'spaghetti code' as applications scaled. OOP solves this by encapsulating logic into discrete objects. For example, a 'Human' class defines core features, while individual people are unique objects sharing that structure, making code easier to maintain and expand.

The shift to object-oriented design treats programs as collections of purposeful objects rather than loose instructions. This methodology is foundational for building complex systems, from web applications to data models, offering a clear path from theory to practical implementation in Python development.