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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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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

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.

A bit of terminology: the word predicate can be used in several senses (as in Predicate Logic) but for us, in computer science, we adopt the meaning a function that returns true or false. OK, this isn't a very formal definition, but it's enough for our needs. For example, we will filter an array depending on a predicate, and that 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 line of code, get the results corresponding to the whole set of values.

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