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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
Languages
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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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Toc

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

The problem

The problem we'll be solving relates to a core part of our web application's user experience. The web application we'll be working on is a frontend to a large plant database with tens of thousands of different species of plants. Among other functionality, it allows users to find specific plants and add them to collections so that they can keep track of their exotic greenhouses and botanical research inventories. The illustration is shown as follows:

Currently, when users wish to find a plant, they must use a search facility that involves entering a plant name (the full Latin name) into a text field, clicking Search, and receiving a set of results, as shown in the following screenshot:

For the purposes of our case study, the plant names only exist as their full Latin names, which includes a family (for example, Acanthaceae), a genus (for example, Acanthus...
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