Learning Python + ChatGPT from Scratch
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Summary
Editor's review
In terms of content organization, the book follows the classic easy-to-hard sequence, but each section incorporates practical elements on using ChatGPT to assist understanding, debug code, and even spark ideas. For example, when explaining loop structures, it guides readers to have ChatGPT generate different loop application scenarios before implementing them by hand. This design cleverly turns passive learning into active exploration, reducing beginners' fear of difficulty.
It should be noted that the book's positioning is very clear—it is not an in-depth AI technical monograph but a key that opens the door to human-machine collaborative programming. For readers who want to master a core skill in the AI era but have been deterred by the dryness of traditional programming textbooks, the book offers a friendlier, more interactive path. The many cases tied to everyday scenarios (such as automated document processing, simple data analysis, and building an intelligent Q&A chatbot) also allow learning outcomes to quickly translate into practical productivity.
Overall, this is a forward-looking introductory guide that teaches not only Python but also a future-oriented method of learning and working in symbiosis with AI.
Who it's for
A good fit for
- Complete beginners interested in both programming and artificial intelligence who hope to find an integrated learning path
- Professionals whose career development requires exposure to automation or data analysis, who want an efficient introduction to Python and AI-assisted programming
- Educators or trainers seeking new methods and cases for integrating AI tools into programming instruction
- Hobbyists who enjoy learning through practice and exploration and the satisfaction of solving problems with new tools
Not a good fit for
- Developers with a solid Python foundation who wish to study AI algorithms and models in depth
- Readers seeking in-depth, systematic explanations of ChatGPT or the principles and technical details of large language models
Reading tips
- Follow the chapters in order and be sure to complete the examples and exercises by hand—this is key to understanding the feel of "human-machine collaborative" programming
- As you learn, try going beyond the book's instructions by asking ChatGPT your own questions or having it explain concepts you don't understand, experiencing the learning model the book advocates
- After completing the basics, try using the book's methods to design a small project that solves a real problem in your work or daily life, consolidating what you have learned
About the publisher
Hebei Science & Technology Press focuses on books in science and engineering, agriculture, medicine, and popular science and lifestyle. Public information shows that it originated from the science and technology editorial office of Hebei People's Publishing House and is now affiliated with Hebei Publishing & Media Group. Judging from the 319 titles in the database, its publishing covers social culture, education, social psychology, popular science and personal finance. Its list includes popular science and illustrated titles such as the Encyclopedia of Minerals and Gemstones and a field guide to common plants of Xiaowutaishan, as well as technology books for young readers such as an AI primer for children. Translated works such as Time and Become Yourself, together with authors such as Abraham Maslow, reflect its accumulated strength in psychology and scientific humanities.
Contents
- 版权信息
- 前言
- 第1章 ChatGPT的含义
- 1.1 什么是ChatGPT
- 1.2 如何对ChatGPT提问
- 第2章 ChatGPT的应用
- 2.1 使用ChatGPT给女朋友写情书
- 2.2 使用ChatGPT给宝宝起名
- 2.3 把ChatGPT当作一名不知疲倦的老师
- 2.4 把ChatGPT当作私人法律顾问
- 2.5 使用ChatGPT进行自身的职业规划
- 2.6 使用ChatGPT优化个人简历
- 2.7 使用ChatGPT优化面试个人介绍与翻译
- 第3章 Python的含义与简单数据类型
- 3.1 Python的含义
- 3.2 编程相关软件安装和使用
- 3.3 Python的表达式
- 3.4 变量与简单数据类型
- 3.5 选择语句
- 3.6 循环语句
- 第4章 Python相关函数与复合数据类型
- 4.1 函数的定义与调用
- 4.2 内置函数
- 4.3 序列与列表
- 4.4 元组、字典和集合的概念与简单操作
- 4.5 推导式、函数注解与冒泡排序
- 第5章 Python的数据运用和类
- 5.1 序列的特殊操作与可变和不可变数据类型
- 5.2 数据的浅、深拷贝与栈结构和队列
- 5.3 编程方法的发展与面向对象编程
- 5.4 类的用法和实例、成员方法与成员变量
- 5.5 类和类的关系与选择
- 5.6 常见异常与异常处理
- 5.7 装饰器
- 5.8 面向对象编程练习
- 第6章 ChatGPT与Python
- 6.1 ChatGPT与Python的关系
- 6.2 ChatGPT检验代码是否正确
- 6.3 ChatGPT帮我们写代码
- 6.4 使用ChatGPT写一个猜价格的游戏
- 6.5 用Python写程序连接ChatGPT实现聊天机器人
- 结语
FAQ
I have no programming background at all—can I understand this book?
Will the book's content quickly become outdated? After all, AI technology develops very fast.
What is the difference between this book and a plain Python primer?
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About the author
Yang Pengfei's publicly available information is limited, yet his writing spans several fields, including computing, law, examination preparation, and literature. Judging from his four existing works, he has ventured into beginner-friendly programming guides that combine Python learning with the use of ChatGPT, addressed the real-world legal issue of self-discipline and rule-of-law development in China's industry associations and chambers of commerce, compiled examination-related teaching materials such as a probability and mathematical statistics textbook, and written a narrative work, Stories of Young Martyrs. This cross-disciplinary profile suggests that the author combines interests in technological popularization, institutional research, and knowledge education, writing with an emphasis on practicality and readability for different groups of readers. Because biographical details have not been made public, his specific experiences and background remain unknown, and readers can only come to know this author through the subjects of his works.
