Book Image

Functional Python Programming, 3rd edition - Third Edition

By : Steven F. Lott
Book Image

Functional Python Programming, 3rd edition - Third Edition

By: Steven F. Lott

Overview of this book

Not enough developers understand the benefits of functional programming, or even what it is. Author Steven Lott demystifies the approach, teaching you how to improve the way you code in Python and make gains in memory use and performance. If you’re a leetcoder preparing for coding interviews, this book is for you. Starting from the fundamentals, this book shows you how to apply functional thinking and techniques in a range of scenarios, with Python 3.10+ examples focused on mathematical and statistical algorithms, data cleaning, and exploratory data analysis. You'll learn how to use generator expressions, list comprehensions, and decorators to your advantage. You don't have to abandon object-oriented design completely, though – you'll also see how Python's native object orientation is used in conjunction with functional programming techniques. By the end of this book, you'll be well-versed in the essential functional programming features of Python and understand why and when functional thinking helps. You'll also have all the tools you need to pursue any additional functional topics that are not part of the Python language.
Table of Contents (18 chapters)
Preface
16
Other Books You Might Enjoy
17
Index

 2
Introducing Essential Functional Concepts

Most of the features of functional programming are already part of the Python language. Our goal in writing functional Python is to shift our focus away from imperative (procedural or object-oriented) techniques as much as possible.

We’ll look at the following functional programming topics:

  • In Python, functions are first-class objects.

  • We can use and create higher-order functions.

  • We can create pure functions very easily.

  • We can work with immutable data.

  • In a limited way, we can create functions that have non-strict evaluation of sub-expressions. Python generally evaluates expressions strictly. As we’ll see later, a few operators are non-strict.

  • We can design functions that exploit eager versus lazy evaluation.

  • We can use recursion instead of an explicit loop state.

  • We have a type system that can apply to functions and objects.

This expands on the concepts from the first chapter: firstly, that purely functional programming...