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Functional Python Programming, 3rd edition
Functional Python Programming, 3rd edition

Functional Python Programming, 3rd edition: Use a functional approach to write succinct, expressive, and efficient Python code , Third Edition

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Functional Python Programming, 3rd edition

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Key benefits

  • Learn how, when, and why to adopt functional elements in your projects
  • Explore the Python modules essential to functional programming, like itertools and functools
  • Cover examples relevant to mathematical, statistical, and data analysis domains

Description

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.

Who is this book for?

The functional paradigm is very useful for programmers working in data science or preparing for technical interviews, but any Python developer who wants to create more reliable, succinct, and expressive code will have much to learn from this book. No prior knowledge of functional programming is required to get started, though Python programming knowledge is assumed. A running Python environment is essential.

What you will learn

  • Use Python's libraries to avoid the complexities of state-changing classes
  • Leverage built-in higher-order functions to avoid rewriting common algorithms
  • Write generator functions to create lazy processing
  • Design and implement decorators for functional composition
  • Make use of Python type annotations to describe parameters and results of functions
  • Apply functional programming to concurrency and web services
  • Explore the PyMonad library for stateful simulations
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Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 30, 2022
Length: 576 pages
Edition : 3rd
Language : English
ISBN-13 : 9781803232577
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Length: 576 pages
Edition : 3rd
Language : English
ISBN-13 : 9781803232577
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Languages :

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Table of Contents

17 Chapters
Chapter 1: Understanding Functional Programming Chevron down icon Chevron up icon
Chapter 2: Introducing Essential Functional Concepts Chevron down icon Chevron up icon
Chapter 3: Functions, Iterators, and Generators Chevron down icon Chevron up icon
Chapter 4: Working with Collections Chevron down icon Chevron up icon
Chapter 5: Higher-Order Functions Chevron down icon Chevron up icon
Chapter 6: Recursions and Reductions Chevron down icon Chevron up icon
Chapter 7: Complex Stateless Objects Chevron down icon Chevron up icon
Chapter 8: The Itertools Module Chevron down icon Chevron up icon
Chapter 9: Itertools for Combinatorics – Permutations and Combinations Chevron down icon Chevron up icon
Chapter 10: The Functools Module Chevron down icon Chevron up icon
Chapter 11: The Toolz Package Chevron down icon Chevron up icon
Chapter 12: Decorator Design Techniques Chevron down icon Chevron up icon
Chapter 13: The PyMonad Library Chevron down icon Chevron up icon
Chapter 14: The Multiprocessing, Threading, and Concurrent.Futures Modules Chevron down icon Chevron up icon
Chapter 15: A Functional Approach to Web Services Chevron down icon Chevron up icon
Other Books You Might Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5
(28 Ratings)
5 star 71.4%
4 star 17.9%
3 star 3.6%
2 star 0%
1 star 7.1%
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Carlos Andres Jaramillo Feb 21, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book Functional Python Programming is an excellent book for anyone who wants to deepen their learning of Python, with very clear examples and challenging exercises the author fills the reader with a deep understanding of this wonderful programming language. I highly recommend this book for people who want to acquire a Senior level in Python or who want to optimize their algorithms at the enterprise level.El libro Functional Python Programming, es un excelente libro para todo el que quiera profundizar en el aprendizaje de Python, con ejemplos muy claros y ejercicios retadores el autor va llenando al lector a una comprensión profunda de este maravilloso lenguaje de programación. Recomiendo mucho este libro para las personas que desean adquirir un nivel Senior en Python o que quieren optimizar sus algoritmos a nivel empresarial.
Amazon Verified review Amazon
Michael Jan 03, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This Book strengthened my ability to exploit pythons facilities for functional programming. Taking a more functional approach sometimes you can get a lot more done. Then when you combine that with the OOP is a whole new world!
Amazon Verified review Amazon
srikar Jan 12, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book explains excellent explanation on functional programming concept. This book is not intended for beginner students. For anyone who wants to read this book must have solid python understanding and working experience.The author covered functional programming with python for almost all the major topics in programming such as multi threading and also other topics such as web services which gives an excellent insight on how to use functional programming with python. The exercises are also good which gives good insight on some of the edge case problems. Overall it's an excellent read for an experienced programmer.
Amazon Verified review Amazon
Andre P. Feb 04, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book provides a smooth introduction to the world of functional programming. It illustrates the core concepts of functional programming (like high-order functions, decorators, generators and iterators) and shows how it’s possible to leverage standard library modules (like IterTools and FuncTools, for instance) to simplify the task of writing functional code. The book has plenty of code samples (which are available on GitHub) that make it really easy to understand and follow the content. I would highly recommend it to anybody looking to familiarize themselves with functional programming.My personal book highlights are:✔️ Higher-Order Functions✔️ Decorator Design Techniques✔️ The Multiprocessing, Threading, and Concurrent.Futures Modules✔️ A Functional Approach to Web Services
Amazon Verified review Amazon
v Jan 06, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book covers many important topics for functional programming in python from intermediate to advanced levels. Both junior (with some python basis) and senior readers can find useful information from the book. As well, this book also provides good examples for readers.
Amazon Verified review Amazon
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