Book Image

Functional Python Programming - Second Edition

By : Steven F. Lott
Book Image

Functional Python Programming - Second Edition

By: Steven F. Lott

Overview of this book

If you’re a Python developer who wants to discover how to take the power of functional programming (FP) and bring it into your own programs, then this book is essential for you, even if you know next to nothing about the paradigm. Starting with a general overview of functional concepts, you’ll explore common functional features such as first-class and higher-order functions, pure functions, and more. You’ll see how these are accomplished in Python 3.6 to give you the core foundations you’ll build upon. After that, you’ll discover common functional optimizations for Python to help your apps reach even higher speeds. You’ll learn FP concepts such as lazy evaluation using Python’s generator functions and expressions. Moving forward, you’ll learn to design and implement decorators to create composite functions. You'll also explore data preparation techniques and data exploration in depth, and see how the Python standard library fits the functional programming model. Finally, to top off your journey into the world of functional Python, you’ll at look at the PyMonad project and some larger examples to put everything into perspective.
Table of Contents (22 chapters)
Title Page
Packt Upsell


In this chapter, we've looked at a number of functions in the itertools module. This library module provides a number of functions that help us to work with iterators in sophisticated ways.

We've looked at the infinite iterators; these repeat without terminating. These include the count(), cycle(), and repeat() functions. Since they don't terminate, the consuming function must determine when to stop accepting values.

We've also looked at a number of finite iterators. Some of these are built-in, and some of these are a part of the itertools module. These work with a source iterable, so they terminate when that iterable is exhausted. These functions include enumerate(), accumulate() , chain() , groupby() , zip_longest(), zip(), compress(), islice(), dropwhile(), takewhile(), filterfalse(), filter(), starmap(), and map(). These functions allow us to replace possibly complex generator expressions with simpler-looking functions.

Additionally, we looked at the recipes from the documentation...