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Key Benefits

• Learn how to choose between imperative and functional approaches based on

expressiveness, clarity, and performance

• Get familiar with complex concepts such as monads, concurrency, and immutability

• Apply functional Python to common Exploratory Data Analysis (EDA) programming

problems

What You Will Learn

• Use Python s generator functions and generator expressions to work with collections in a non-strict (or lazy) manner

• Utilize Python library modules including itertools, functools, multiprocessing, and concurrent features to ensure efficient functional programs

• Use Python strings with object-oriented suffix notation and prefix notation

• Avoid stateful classes with families of tuples

• Design and implement decorators to create composite functions

• Use functions such as max(), min(), map(), filter(), and sorted()

• Write higher-order functions

Book Description

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.

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Jerome3590 Sep 05, 2018

Author does a great job of walking through both the how and why of python's functional programming capabilities. First programming book I've read that actually details the implementation of the code and what it's doing. I do not have a computer science background and the author's format and explanations for how the code works behind the scenes I found extremely insightful. This will be a book I routinely refer to. I will definitely check out Steven Lott's other books!

Amazon Verified review

Jonathan Davis Jan 09, 2021

Having had experience with functional programming before, I was pleased that this book covered all the concepts and did so clearly.

AmazonReviewer Mar 24, 2020

If this is functional programming, then it sucks. It makes everything difficult and more complex than it needs to be, which makes it hard to create-read-understand-maintain. I fail to see the point. It is not practical.

Functional Python Programming , Second Edition

Discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads

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