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Clean code cookbook : recipes to improve the design and quality of your code / Maximiliano Contieri.

By: Publisher: Sebastopol, CA : O'Reilly, 2023Copyright date: ©2023Edition: First editionDescription: xvii, 409 pages : illustrations ; 23 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781098144722
  • 1098144724
Subject(s): DDC classification:
  • 005.1/3 23 C762
Contents:
Foreword -- Preface -- Clean code -- Setting up the axioms -- Anemic models -- Primitive obsession -- Mutability -- Declarative code -- Naming -- Comments -- Standards -- Complexity -- Bloaters -- YAGNI -- Fail fast -- Ifs -- Null -- Premature optimization -- Coupling -- Globals -- Hierarchies -- Testing -- Technical debt -- Exceptions -- Metaprogramming -- Types -- Security.
Summary: "Software engineers and architects who work with large, complex code bases need to scale and maintain them effectively. With this cookbook, author Maximiliano Contieri takes you beyond the concept of clean code by showing you how to identify improvement opportunities and assess their impact on production code. When it comes to reliability and system evolution, these techniques provide benefits that pay off over time. Using real-world examples in JavaScript, PHP, Python, Java, and many other programming languages, this cookbook provides proven recipes to help you scale and maintain large systems. Every section covers fundamental concepts including readability, coupling, testability, security, and extensibility, as well as code smells and the corresponding recipes to address them"--Page 4 of cover.
Item type: كتاب
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Includes index.

Foreword -- Preface -- Clean code -- Setting up the axioms -- Anemic models -- Primitive obsession -- Mutability -- Declarative code -- Naming -- Comments -- Standards -- Complexity -- Bloaters -- YAGNI -- Fail fast -- Ifs -- Null -- Premature optimization -- Coupling -- Globals -- Hierarchies -- Testing -- Technical debt -- Exceptions -- Metaprogramming -- Types -- Security.

"Software engineers and architects who work with large, complex code bases need to scale and maintain them effectively. With this cookbook, author Maximiliano Contieri takes you beyond the concept of clean code by showing you how to identify improvement opportunities and assess their impact on production code. When it comes to reliability and system evolution, these techniques provide benefits that pay off over time. Using real-world examples in JavaScript, PHP, Python, Java, and many other programming languages, this cookbook provides proven recipes to help you scale and maintain large systems. Every section covers fundamental concepts including readability, coupling, testability, security, and extensibility, as well as code smells and the corresponding recipes to address them"--Page 4 of cover.