Book Image

Clean Code in PHP

By : Carsten Windler, Alexandre Daubois
5 (1)
Book Image

Clean Code in PHP

5 (1)
By: Carsten Windler, Alexandre Daubois

Overview of this book

PHP is a beginner-friendly language, but also one that is rife with complaints of bad code,;yet no clean code books are specific to PHP. Enter Clean Code in PHP. This book is a one-stop guide to learning the theory and best practices of clean code specific to real-world PHP app development environments. This PHP book is cleanly split to help you navigate through coding practices and theories to understand and adopt the nuances of the clean code paradigm. In addition to covering best practices, tooling for code quality, and PHP design patterns, this book also presents tips and techniques for working on large-scale PHP apps with a team and writing effective documentation for your PHP projects. By the end of this book, you’ll be able to write human-friendly PHP code, which will fuel your PHP career growth and set you apart from the competition.
Table of Contents (18 chapters)
1
Part 1 – Introducing Clean Code
8
Part 2 – Maintaining Code Quality

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...