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Mastering JavaScript Functional Programming

You're reading from   Mastering JavaScript Functional Programming Write clean, robust, and maintainable web and server code using functional JavaScript

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Product type Paperback
Published in Jan 2020
Publisher Packt
ISBN-13 9781839213069
Length 470 pages
Edition 2nd Edition
Languages
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Author (1):
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Federico Kereki Federico Kereki
Author Profile Icon Federico Kereki
Federico Kereki
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Table of Contents (17) Chapters Close

Preface 1. Technical Requirements
2. Becoming Functional - Several Questions FREE CHAPTER 3. Thinking Functionally - A First Example 4. Starting Out with Functions - A Core Concept 5. Behaving Properly - Pure Functions 6. Programming Declaratively - A Better Style 7. Producing Functions - Higher-Order Functions 8. Transforming Functions - Currying and Partial Application 9. Connecting Functions - Pipelining and Composition 10. Designing Functions - Recursion 11. Ensuring Purity - Immutability 12. Implementing Design Patterns - The Functional Way 13. Building Better Containers - Functional Data Types 14. Bibliography
15. Answers to Questions 16. Other Books You May Enjoy

Transformations

The first set of operations that we are going to consider work on an array and process it in the base of a function to produce some results. There are several possible results: a single value with the reduce() operation; a new array with map(); or just about any kind of result with forEach().

If you Google around, you will find some articles that declare that these functions are not efficient because a loop done by hand can be faster. This, while possibly true, is practically irrelevant. Unless your code really suffers from speed problems and you are able to measure that the slowness derives from the use of these higher-order functions, trying to avoid them using longer code, with a higher probability of bugs, simply doesn't make much sense.

Let's start by considering the preceding list of functions in order, starting with the most general of all, which...

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