9781788627061-1788627067-Functional Python Programming: Discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads, 2nd Edition

Functional Python Programming: Discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads, 2nd Edition

ISBN-13: 9781788627061
ISBN-10: 1788627067
Edition: 2nd Revised edition
Author: Lott, Steven F.
Publication date: 2018
Publisher: Packt Publishing
Format: Paperback 408 pages
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Book details

ISBN-13: 9781788627061
ISBN-10: 1788627067
Edition: 2nd Revised edition
Author: Lott, Steven F.
Publication date: 2018
Publisher: Packt Publishing
Format: Paperback 408 pages

Summary

Acknowledged authors Lott, Steven F. wrote Functional Python Programming: Discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads, 2nd Edition comprising 408 pages back in 2018. Textbook and eTextbook are published under ISBN 1788627067 and 9781788627061. Since then Functional Python Programming: Discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads, 2nd Edition textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

Create succinct and expressive implementations with functional programming in Python

Key Features
  • 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
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.

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
Who This Book Is For

This book is for Python developers who would like to perform Functional programming with Python. Python Programming knowledge is assumed.

Table of Contents
  1. Understanding Functional Programming
  2. Introducing essential functional concepts
  3. Functions, Iterators and Generators
  4. Working with Collections
  5. Higher-Order Functions
  6. Recursions and Reductions
  7. Additional tuple techiques
  8. The Itertools Module
  9. More Itertools Techniques
  10. The Functools Module
  11. Decorator Design Techniques
  12. The Multiprocessing and Threading Modules
  13. The Operator Module
  14. The PyMonad Library
  15. A Functional Approach to Web Services
  16. Optimizations and Improvements
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