Module 11 Overview

Module 11: Functional Features dives into concepts borrowed from functional programming languages. While Python is primarily Object-Oriented, it supports many functional paradigms that can make your code more concise, readable, and efficient.

In this module, we will explore tools for processing sequences, creating custom iteration logic, and modifying function behavior dynamically.

Learning Objectives

By the end of this module, you will be able to:

• Use Map, Filter, and Reduce to process collections without explicit loops.
• Understand the Iterator Protocol that powers for loops.
• Write Generators using yield to handle large data streams efficiently.
• Create Decorators to wrap and enhance existing functions without changing their code.

Module Contents

Map, Filter, Reduce Functional tools for data processing.

Iterators Understanding how Python loops work under the hood.

Generators Lazy evaluation and the yield keyword.

Decorators Modifying function behavior with wrappers.