Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
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

Working with parallel functions

JavaScript provides concurrency through async functions, meaning that several tasks can go on at the same time, even if a single CPU is doing all the jobs. Web workers (for the frontend) and worker threads (for the backend) allow processing in parallel in a different core, for better performance. This can offload work from the main thread and solve potential problems, in line with our FP approach.

In this section, we’ll see how to avoid bottlenecks in frontend and backend programming by using workers in functional ways, along the lines of the previous sections in this chapter.

Unresponsive pages

Let’s return to our Fibonacci slow-performing code from the Memoization section in the previous chapter. Suppose we want to create a web page that will allow users to enter a number and calculate the corresponding Fibonacci number, as in Figure 5.6.

Figure 5.6 – A Fibonacci calculator

Figure 5.6 – A Fibonacci calculator

The code for this...

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 $19.99/month. Cancel anytime