Gain insights into functional programming in Python, learn about functions as objects, recursion, closures, and generators, and discover how to confidently apply these concepts to your projects.

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The functional programming paradigm can be a powerful tool, especially as it can be integrated seamlessly with procedural and object-oriented code in Python. 

In this course, you’ll learn what functional programming is, how it’s used, and the features of Python that support it. To start, you’ll learn how functions act as objects, the role of mutability, and how to perform recursion. 

In the latter half of the course, you’ll focus on closures, iterables & iterators, generators, and more. Throughout the course will be three exams which will test your understanding and really drive home what you’ve learned.  

By the end, you’ll have a new programming paradigm to add under your belt and have the confidence to start using functional programming in your own projects.

Learn Functional Programming in Python

## What is the map-reduce pattern? 

The map-reduce pattern is a way of processing large data sets in a way that can be distributed amongst many computers. 

The basic idea is to start by processing data elements individually, and, finally, combine them to give the required result. 

To give a simple example, suppose we want to calculate the average word length of the words in a block of text:
 

# What is the map-reduce pattern? 

The map-reduce pattern is a way of processing large data sets in a way that can be distributed amongst many computers. 

The basic idea is to start by processing data elements individually, and, finally, combine them to give the required result. 

To give a simple example, suppose we want to calculate the average word length of the words in a block of text:
 

Learn how to use the map-reduce pattern with several functional programming techniques.

Introduction

Functions as Objects

Mutability

Recursion

Functional Programming in Python - Exam 1

Closures

Iterators

Transforming Iterables

Reducing Iterables

Functional Programming in Python - Exam 2

Comprehensions

Generators

Partial Application and Currying

Functors and Monads

Functional Programming in Python - Exam 3

Useful Libraries

Conclusion

Map-Reduce Pattern

What is the map-reduce pattern?