Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Mastering JavaScript Functional Programming

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

Arrow left icon
Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781804610138
Length 614 pages
Edition 3rd Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Federico Kereki Federico Kereki
Author Profile Icon Federico Kereki
Federico Kereki
Arrow right icon
View More author details
Toc

Table of Contents (17) Chapters Close

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

Producing Functions – Higher-Order Functions

In Chapter 5, Programming Declaratively, we worked with some declarative code so that we could gain understandability and more compact, shorter code. In this chapter, we will go further toward higher-order functions (HOFs) and develop our own. We can roughly classify the results that we are going to get into three groups:

  • Wrapped functions: These keep their original functionality while adding some kind of new feature. In this group, we can consider logging (adding log production capacity to any function), timing (producing time and performance data for a given function), and memoization of functions and promises (caching results to avoid future rework).
  • Altered functions: These differ in some key points from their original versions. Here, we can include the once() function (we covered this in Chapter 2, Thinking Functionally), which changes the original function so that it only runs once; functions such as not() or invert...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at R$50/month. Cancel anytime