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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

Logical higher-order functions

Up to now, we have been using higher-order functions to produce new results, but there are also some other functions that produce logical results by applying a predicate to all the elements of an array. (By the way, we'll be seeing much more about higher-order functions in the next chapter.)

A bit of terminology: the word predicate can be used in several senses (as in predicate logic), but for us, in computer science, it has the meaning of a function that returns true or false. Okay, this isn't a very formal definition, but it's enough for our needs. For example, saying that we will filter an array depending on a predicate just means that we get to decide which elements are included or excluded depending on the result of the predicate.

Using these functions implies that your code will become shorter: you can, with a single...

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