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Mastering Immutable.js

You're reading from   Mastering Immutable.js Better JavaScript development using immutable data

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781788395113
Length 216 pages
Edition 1st Edition
Languages
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Author (1):
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Adam Boduch Adam Boduch
Author Profile Icon Adam Boduch
Adam Boduch
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Table of Contents (17) Chapters Close

Preface 1. Why Immutable.js? FREE CHAPTER 2. Creating Immutable Data 3. Persistent Changes 4. Filtering Collections and Finding Items 5. Sequences and Side-Effects 6. Sorting Collections 7. Mapping and Reducing 8. Zipping and Flattening 9. Persistent Change Detection 10. Working with Sets 11. Comparing Collections 12. Combining Collections 13. Declarative Decision Making 14. Side-Effects in User Interfaces 15. Side-Effects in Node.js 16. Immutable Architecture

Why lazy evaluation?

In Immutable.js, we use sequences to chain together transformation method calls. Using sequences this way, we're doing something called lazy evaluation; that is, we only process data from collections that actually need to be processed. Without lazy evaluation, we would have to process entire collections or come up with some other means to avoid processing work.

Large collections are expensive

A large collection is a collection that contains enough values that the cost of processing it becomes a cause for concern. Depending on the application—where it runs, who uses it, and how the collections are processed—a large collection could be anywhere from 500 to 10,000+ values.

Generally speaking...

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