As programmers, we've all seen source code that's so ugly and buggy it makes our brain ache. And let's be honest, we've all written code like that. With this book, you'll learn to write code that's easy to read and understand. You'll have more fun and your coworkers will love you.
The Art of Coding focuses on the nuts and bolts of programming, with simple and practical techniques you can use every time you sit down to write code. You'll find tips throughout the book, with easy-to-digest code examples, helpful illustrations, and cartoons for fun.
* Learn to pick variable names that are "dense with information"
* Organize your loops and conditionals so they're easy to understand
* Make your comments short and sweet
* Recognize when your code is doing too many things at once
* Write tests that are concise, but thorough
* Master the art of breaking hard problems into many smaller ones
- 提出可读性基本定理：代码应最小化他人理解时间
- 提供变量命名、循环组织等实用技巧，提升代码清晰度
- 强调测试代码也需可读，便于后续维护与修改
- 希望提升代码质量、追求优雅编程的初级至中级开发者
- 经常进行代码审查，需快速理解他人逻辑的工程师
- 对Clean Code感兴趣，但偏好更轻量、实战导向的读者
- 本书篇幅短小，适合利用碎片时间轻松阅读，无阅读压力
- 书中包含幽默漫画与实例，建议结合日常编码实践对照阅读
- 若已深读Clean Code，可重点参考本书在注释观点上的差异
- 内容短小精悍，案例源自实战，阅读体验轻松愉快
- 被公认为讲解代码可读性最优秀、最生动的入门书籍
- 虽深度不及大部头，但细节建议极具价值，物超所值
本导读基于书籍简介、目录、原文摘录、短评和书评生成，不等同于全文精读。
- "找到更有表现力的词 send -> deliver, dispatch, announce, distribute, route find -> search, extract, locate, recover start -> launch, create, begin, open make -> create, set up, build, generate, compose, add, new"
- "Names like i, j, iter, and it are commonly used as indices and loop iterators. Even though these names are generic, they’re understood to mean “I am an iterator.” (In fact, if you used one of these names for some other purpose, it would be confusing—so don’t do that!) But sometimes there are better "
- "The goal of this book is help you make your code better."
- "Keeping Your Codebase Small"
- "Finding More "Colorful" Words"
- "Values with Units"
- "Test code should be readable so that other coders are comfortable changing or adding tests."
- "Creating the Minimal Test Statement"
- Developing Apps with GPT-4 and ChatGPT
- Building Knowledge Graphs
- Essential Math for AI
- Running Lean (3/e)
- Quarkus Cookbook
- Learning React 2nd ed.