Explore how Object Oriented Programming (OOP) and Functional Programming (FP) coexist in Python. Understand Python's multi-paradigm nature, allowing you to use both OOP and FP techniques for flexible, powerful code. See how decorators and iterators—covered in Section 5—use class-based patterns to combine the strengths of both paradigms. Learn why mastering both approaches lets you write cleaner, reusable, and more maintainable Python code.

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Python supports both **object-oriented programming (OOP)** and **functional programming (FP)**, allowing you to choose the best approach for each problem:

- You can use OOP to structure your code with **classes**, **objects**, **methods**, and **attributes**;
- You can use FP for concise, expressive data transformations and stateless computations;
- Both paradigms can be combined in the same codebase for maximum flexibility.

### Benefits of Mastering Both Paradigms

- Write **cleaner, more organized code** by choosing the right paradigm for each task;
- Achieve **better code reusability** through OOP features like inheritance and polymorphism;
- Simplify **maintenance** by encapsulating data and behavior in classes;
- Gain the **flexibility** to solve a wider range of problems efficiently by mixing OOP and FP techniques.

Understanding how OOP and FP complement each other in Python equips you to build robust, maintainable, and elegant solutions.

Which statements about Python's programming paradigms and their advantages are correct?

Introduction to Object Oriented Programming

Benefits of Mastering Both Paradigms