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Clean Code in PHP

You're reading from   Clean Code in PHP Expert tips and best practices to write beautiful, human-friendly, and maintainable PHP

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Product type Paperback
Published in Oct 2022
Publisher Packt
ISBN-13 9781804613870
Length 264 pages
Edition 1st Edition
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Authors (2):
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Alexandre Daubois Alexandre Daubois
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Alexandre Daubois
Carsten Windler Carsten Windler
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Carsten Windler
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1 – Introducing Clean Code
2. Chapter 1: What Is Clean Code and Why Should You Care? FREE CHAPTER 3. Chapter 2: Who Gets to Decide What “Good Practices” Are? 4. Chapter 3: Code, Don’t Do Stunts 5. Chapter 4: It is about More Than Just Code 6. Chapter 5: Optimizing Your Time and Separating Responsibilities 7. Chapter 6: PHP is Evolving – Deprecations and Revolutions 8. Part 2 – Maintaining Code Quality
9. Chapter 7: Code Quality Tools 10. Chapter 8: Code Quality Metrics 11. Chapter 9: Organizing PHP Quality Tools 12. Chapter 10: Automated Testing 13. Chapter 11: Continuous Integration 14. Chapter 12: Working in a Team 15. Chapter 13: Creating Effective Documentation 16. Index 17. Other Books You May Enjoy

Being context-aware

Here, we enter one of the most important parts when we talk about clean code. If there were only one thing to remember, it would be this. We may regularly talk about the rules defined by other developers, object principles, and the principles of clean code, but nothing will ever be as good as what we are going to talk about here: it is about being aware of your context. One thing that is missing from many books and articles about clean code is the feeling that it is relevant to everyday life. A developer’s life is made up of unexpected events, technical constraints, impossibilities to do some things, or being forced to do some other things.

There are as many ways of doing things as there are projects. Each project has its own history, technical decisions, and constraints. As a result, we end up with many theoretical principles that are not applicable or that would break the coherence of the project. Good practices may dictate how you name variables, how...

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