Code in Action: Learn Python Programming with ChatGPT

Name: Code in Action: Learn Python Programming with ChatGPT
ISBN: 9787301346198

袁昕Peking University Press · ChinaJun 2025

3.7

Word count: 155K words
Chapters: 108
ISBN: 9787301346198

Report an error Find this book

Summary

This book has 15 chapters. Chapter 1 explains what ChatGPT can do and how it helps in learning programming; Chapter 2 covers the characteristics of Python and how to set up a development environment; Chapters 3–10 cover Python fundamentals, including input and output, variables and types, operators, control flow, functions, lists, dictionaries, and modules; Chapters 11–13 introduce file operations, web scraping, and object-oriented programming in Python; Chapters 14–15 cover using ChatGPT in programming, including AI-assisted development and integrating ChatGPT into programs.

Editor's review

This is an introductory book that embeds ChatGPT throughout the entire Python learning process. Its 15 chapters are clearly structured: it first explains what ChatGPT can do and how it helps in learning programming, then sets up the Python development environment, and proceeds to cover language fundamentals such as input/output, variable types, operators, control flow, functions, lists, dictionaries, and modules, before moving on to file operations, web scraping, and object-oriented programming. The final two chapters focus on using ChatGPT for assisted development and integrating ChatGPT into programs. Its strength lies in running two tracks side by side—learning to program and using AI to learn programming—so readers build a Python foundation while also developing the habit of using AI to troubleshoot and understand code. It suits beginners with no prior experience who want to learn by doing, as well as readers with programming experience who want a quick understanding of how to bring ChatGPT into their development workflow. The key is not to just read without typing: run every example in each chapter yourself and try asking ChatGPT to explain or rewrite it.

Who it's for

A good fit for

Programming beginners with no prior experience who want to learn Python with AI-assisted Q&A
Students who need a complete, clearly structured introductory Python textbook
Experienced programmers who want to learn how to use ChatGPT for assisted development and integrate it into programs
Self-taught learners who want to build the habit of using AI to troubleshoot code

Not a good fit for

Advanced readers with a solid Python background who want to go deeper into algorithms or engineering architecture
Readers looking for a systematic treatment of data structures and algorithm theory
Readers who only want to understand ChatGPT's product features and do not intend to learn programming

Reading tips

Study the chapters in order, type out every code example yourself, and when you hit an error, troubleshoot it yourself before asking ChatGPT.
After finishing, use ChatGPT to restate each chapter's key points and generate practice questions to check your understanding.
Use Chapters 14 and 15 to practice with small real projects, integrating ChatGPT into your own scripts to experience collaborative development.

About the publisher

Peking University Press China · Founded in 1979

Peking University Press is a comprehensive university press whose publishing areas cover classical literature, popular science, social culture, world history, Western philosophy, and culture. Its catalogue contains 6,031 titles, with representative books including A Dream of Red Mansions, Relativity: The Special and General Theory (15th Edition) (with Einstein's classic papers on unified field theory and other topics), Elements, Conics, The Aristocratic Families of the Eastern Jin, The Philosophy of Mythology (Volume I), The Philosophy of Mythology (Volume II), and The Origin of Continents and Oceans. Representative authors include Cao Xueqin, Zhou Ruchang, Albert Einstein, Euclid, Apollonius, Tian Yuqing, Schelling, and Xian Gang. The press has developed distinctive strengths in classical Chinese literature and in the translation of Western philosophical classics, while also covering scientific classics and social and cultural studies. As public information is limited, this description is based only on the books in the catalogue and offers no further extrapolation.

版权信息
内容提要
前言
第1章快速上手ChatGPT
1.1 ChatGPT的自我介绍
1.2 用ChatGPT学Python
本章小结
第2章搭建Python开发环境
2.1 ChatGPT讲解知识点——Python快速入门
2.2 Python环境搭建
2.3 ChatGPT答疑解惑
本章小结
第3章输入与输出
3.1 ChatGPT讲解知识点——Python基础概念
3.2 输入输出
3.3 ChatGPT答疑解惑
本章小结
第4章变量与数据类型
4.1 ChatGPT讲解知识点——变量
4.2 变量的使用
4.3 ChatGPT讲解知识点——数据类型
4.4 Python基本数据类型
4.5 ChatGPT答疑解惑
本章小结
第5章运算
5.1 ChatGPT讲解知识点——运算符
5.2 算术运算符
5.3 赋值运算符
5.4 比较运算符
5.5 逻辑运算符
5.6 位运算符
5.7 成员运算符
5.8 身份运算符
5.9 ChatGPT演示代码——计算BMI
5.10 ChatGPT答疑解惑
本章小结
第6章控制流
6.1 ChatGPT讲解知识点——控制流
6.2 条件判断
6.3 ChatGPT演示代码——计算BMI升级版
6.4 循环
6.5 控制流的嵌套
6.6 ChatGPT演示代码——猜数字游戏
6.7 ChatGPT答疑解惑
本章小结
第7章函数
7.1 ChatGPT讲解知识点——函数
7.2 函数的使用
7.3 函数的参数
7.4 ChatGPT讲解知识点——匿名函数
7.5 变量的作用域
7.6 ChatGPT演示代码——绘制字符方阵
7.7 ChatGPT答疑解惑
本章小结
第8章列表
8.1 ChatGPT讲解知识点——列表
8.2 列表的常用操作
8.3 ChatGPT讲解知识点——列表解析式
8.4 ChatGPT讲解知识点——字符串与列表
8.5 ChatGPT演示代码——购物清单
8.6 ChatGPT答疑解惑
本章小结
第9章字典
9.1 ChatGPT讲解知识点——字典
9.2 字典的常用操作
9.3 ChatGPT讲解知识点——del语句
9.4 ChatGPT讲解知识点——其他复合数据类型
9.5 ChatGPT演示代码——小说中的词频统计
9.6 ChatGPT答疑解惑
本章小结
第10章模块
10.1 ChatGPT讲解知识点——模块
10.2 用ChatGPT学Python标准库
10.3 用ChatGPT学第三方模块
10.4 ChatGPT演示代码——绘制爱心图案
10.5 ChatGPT演示代码——一元二次方程计算器
10.6 ChatGPT答疑解惑
本章小结
第11章文件操作
11.1 ChatGPT讲解知识点——文件读写
11.2 用ChatGPT学其他类型文件的读写
11.3 文件系统操作
11.4 ChatGPT演示代码——批量文件搜索器
11.5 ChatGPT答疑解惑
本章小结
第12章网络爬虫
12.1 ChatGPT讲解知识点——网络爬虫
12.2 用ChatGPT学网页前端基础知识
12.3 requests模块
12.4 bs4模块
12.5 ChatGPT演示代码——下载Bing每日一图
12.6 ChatGPT答疑解惑
本章小结
第13章面向对象
13.1 ChatGPT讲解知识点——面向对象
13.2 Python中的面向对象
13.3 ChatGPT演示代码——MOBA游戏角色设计
13.4 ChatGPT答疑解惑
本章小结
第14章利用ChatGPT辅助开发
14.1 ChatGPT讲解知识点——数据分析
14.2 ChatGPT开发实例——学生成绩排名及分布
本章小结
第15章在程序中接入ChatGPT
15.1 OpenAI API
15.2 ChatGPT接入实例——智能问答小工具
15.3 为ChatGPT提供知识库
本章小结

FAQ

I have never programmed before. Can I keep up?

The book starts with setting up the development environment and language fundamentals, and progresses step by step, so it is suitable for beginners with no prior experience. But programming requires hands-on practice; reading without writing makes it hard to master, so run every chapter's code yourself.

What exactly does the book mean by ChatGPT-assisted programming?

It mainly covers using ChatGPT to explain code, troubleshoot errors, and generate examples, as well as calling the ChatGPT API in programs to implement features. Chapters 14 and 15 focus on these applications.

What level will I reach after finishing?

You will master basic Python syntax, file operations, simple web scraping, and object-oriented programming, and be able to use ChatGPT for assisted development. Reaching an engineering-level standard still requires further project practice and deeper study.

Does the web scraping section require any extra background?

The web scraping chapters build on the earlier chapters on lists, dictionaries, modules, and file operations, so you can understand them by studying in order. Skipping the fundamentals and going straight to the web scraping section may be difficult.

Comments

Find this book

This site is an index: you start “Search all sources” in your browser, and the entries it lists all point to third-party sites; please judge their availability yourself.

About the author

袁昕 Author

Yuan Xin is an author about whom little public information is available. Judging from the four works listed in the library, their writing centers on two areas: programming education and research on the elderly care industry. In the programming books, Yuan Xin uses “Code in Action” as the series title to introduce Python to beginners and incorporates ChatGPT as an aid, covering practical scenarios such as using Python and ChatGPT to handle Excel data analysis efficiently. The writing emphasizes hands-on operation and beginner guidance, highlighting how new tools can lower the learning threshold and improve office efficiency. In the social sciences, Yuan Xin contributed to a research report on the development of the elderly care industry, focusing on happy aging in the context of a Healthy China and showing attention to real-world industry and public policy. Overall, the works combine technology popularization with social issues and are aimed at beginners and readers interested in the elderly care industry.