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Clean Code in JavaScript

You're reading from   Clean Code in JavaScript Develop reliable, maintainable, and robust JavaScript

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Product type Paperback
Published in Jan 2020
Publisher Packt
ISBN-13 9781789957648
Length 548 pages
Edition 1st Edition
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Author (1):
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James Padolsey James Padolsey
Author Profile Icon James Padolsey
James Padolsey
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Table of Contents (26) Chapters Close

Preface 1. Section 1: What is Clean Code Anyway?
2. Setting the Scene FREE CHAPTER 3. The Tenets of Clean Code 4. The Enemies of Clean Code 5. SOLID and Other Principles 6. Naming Things Is Hard 7. Section 2: JavaScript and Its Bits
8. Primitive and Built-In Types 9. Dynamic Typing 10. Operators 11. Parts of Syntax and Scope 12. Control Flow 13. Section 3: Crafting Abstractions
14. Design Patterns 15. Real-World Challenges 16. Section 4: Testing and Tooling
17. The Landscape of Testing 18. Writing Clean Tests 19. Tools for Cleaner Code 20. Section 5: Collaboration and Making Changes
21. Documenting Your Code 22. Other Peoples' Code 23. Communication and Advocacy 24. Case Study 25. Other Books You May Enjoy

Dynamic Typing

In the previous chapter, we explored JavaScript's built-in values and types and covered some of the challenges involved when using them. The next natural step is for us to explore how JavaScript's dynamic system plays out in the real world. Since JavaScript is a dynamically typed language, the variables in your code are not constrained in terms of the type of values they refer to. This introduces a huge challenge for the clean coder. Without certainty regarding our types, our code can break in unexpected ways and can become incredibly fragile. This fragility can be explained quite simply by imagining a numeric value embedded within a string:

const possiblyNumeric = '203.45';

Here, we can see that the value is numeric but that it has been wrapped in a string literal and so, as far as JavaScript is concerned, is just a regular string. But because...

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