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Mastering JavaScript Functional Programming

You're reading from   Mastering JavaScript Functional Programming In-depth guide for writing robust and maintainable JavaScript code in ES8 and beyond

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781787287440
Length 386 pages
Edition 1st 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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Toc

Table of Contents (15) Chapters Close

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

Transformations

The first set of operations 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() operations; 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 usage of these higher-order functions, trying to avoid them, with longer code, and more probability of bugs simply doesn't make much sense.

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

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