AI for Efficient Office Work: Use Python to Finish a Full Day's Work in Three Minutes cover

AI for Efficient Office Work: Use Python to Finish a Full Day's Work in Three Minutes

Rating 3.0
Word count
39K words
Chapters
54
ISBN
9787539094236

Tags

Summary

This is a practical guide designed to help readers boost office efficiency. Written by professionals in Python programming and artificial intelligence, it focuses on how to use Python and AI technologies to complete various daily work tasks quickly and efficiently. More than a technical guide, this book is a practical handbook for improving personal and team productivity. Whether you are a beginner or a professional with some programming experience, it opens up a new way of working—making work more efficient and more intelligent.

Editor's review

The book's positioning is clear: it does not aim to turn you into a programmer, but treats Python and AI as power tools on your desk. The author focuses on repetitive, tedious parts of daily work, breaking programming knowledge into directly applicable approaches that reduce beginners' fear of code. Professionals with some programming background can also find inspiration for integrating scattered scripts into workflows. Its value lies in fostering an efficiency mindset—think through the task first, then let the tools execute—rather than piling up syntax. It is suitable for keeping at your workstation for quick reference, to consult as needed when dealing with report organization, batch file processing, information summarization, and similar scenarios. Readers are advised to reproduce each method on their computer while reading and transfer the book's approaches to their own real work tasks, so that "three minutes" becomes a verifiable experience rather than a slogan.

Who it's for

A good fit for

  • Office workers troubled daily by spreadsheets, files, and repetitive operations
  • Beginners who want to use AI and Python to improve personal efficiency but lack a systematic path
  • Practitioners with some programming background who want to integrate scattered scripts into workflows
  • Managers who need to promote efficiency tools to their teams and seek hands-on cases

Not a good fit for

  • Readers who want to systematically study the Python language system and computer science principles
  • Readers who do not use computers for office work at all and have no hands-on environment
  • Researchers expecting in-depth explanations of AI model training and algorithm principles

Reading tips

  1. First browse the table of contents and pick the two or three scenarios most painful in your work to practice first.
  2. Reproduce each method on your computer as you read, substituting your own real data.
  3. Organize working code snippets into a personal toolkit and regularly review which steps can still be automated.

About the publisher

Jiangxi Science and Technology Publishing House has long taken the popularization of science and technology and the dissemination of practical knowledge as its main publishing focus. Its catalog shows titles across popular science, health, medicine and foreign literature. Representative works include Topology and Physics, associated with scholars such as Yang Zhenning, Ge Molin and He Yanghui, as well as Luo Dalun's family health titles including Life-Saving Prescriptions and the Huangdi Neijing series. The press also offers Fabre's Souvenirs Entomologiques in a complete illustrated translation and in individual volumes, presenting classic popular science in multiple forms. Its authors range from academic researchers to medical and health writers to classic science writers, reflecting a publishing profile that balances expertise and readability. As public information is limited, this summary of its publishing direction is based only on the titles in our catalog.

Contents

  1. 版权信息
  2. 前言
  3. 基础篇
  4. 01 自动化办公与Python
  5. 1.1 Python语言简介
  6. 1.2 如何使用Python完成自动化办公
  7. 1.3 Python开发环境部署
  8. 1.4 IDE的部署
  9. 02 AI能做什么
  10. 2.1 人工智能与机器学习
  11. 2.2 大模型的选择
  12. 2.3 使用AI进行编程
  13. 实战篇
  14. 03 Word与自动化脚本
  15. 3.1 安装库文件
  16. 3.2 使用脚本创建 Word 文档
  17. 3.3 文档批量插入图片
  18. 3.4 自动化去除文档空行
  19. 3.5 删除文档中的重复内容
  20. 3.6 将Word文档批量转换为PDF格式
  21. 04 Excel脚本的基础操作
  22. 4.1 Python处理Excel的相关库
  23. 4.2 Excel文件的结构
  24. 4.3 创建Excel文件
  25. 4.4 获取文件清单
  26. 4.5 将Excel文件自动归类
  27. 05 Excel自动化脚本进阶
  28. 5.1 批量为工作簿添加工作表
  29. 5.2 批量插入某个文件内的工作表
  30. 5.3 文件内部的工作表排序
  31. 5.4 删除指定的工作表
  32. 5.5 工作簿的拆分
  33. 5.6 合并工作簿
  34. 5.7 将某一列内容添加到其他工作表中
  35. 5.8 从文件中提取指定信息
  36. 5.9 制作索引表
  37. 5.10 表格样式设置
  38. 5.11 插入函数计算
  39. 5.12 批量打印工作表
  40. 5.13 错误排查方法
  41. 06 PDF自动化处理
  42. 6.1 处理PDF文件所使用的库文件
  43. 6.2 拆分PDF文件
  44. 6.3 合并PDF文件
  45. 6.4 PDF文件转图片
  46. 6.5 图片转PDF文件
  47. 6.6 提取PDF中的图片
  48. 6.7 将PDF文件转换为Word文档
  49. 6.8 提取PDF中的表格
  50. 07 电子邮件与自动化脚本
  51. 7.1 常用邮件协议与库文件的引用
  52. 7.2 使用脚本发送邮件
  53. 7.3 批量接收邮件
  54. 结语

FAQ

Can someone with no programming background understand this book?
Yes, you can read selectively. The book targets office efficiency scenarios, focusing on task decomposition and tool invocation rather than a complete syntax system. Beginners are advised to start with the chapters closest to their own work, understanding through hands-on operation, and to go back and fill in unfamiliar syntax as needed—there is no need to read it cover to cover in order.
Can the methods in the book be applied directly to my actual work?
The book provides approaches and applicable methods; actual results depend on your task types and data environment. It is advisable to first validate on a small-scale task and, after confirming the results are correct, extend to batch processing. Pay attention to compliance and backups when sensitive data is involved.
Will this book be too shallow for people with programming experience?
Readers with a foundation can focus on workflow organization and the combined use of AI tools rather than specific syntax. The book's approach of connecting scattered skills into a complete office workflow still offers reference value for those with programming experience but lacking efficiency-oriented practice.

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About the author

李长玖 Author

Li Changjiu: publicly available information is limited. All that is currently known is that the author has one work, AI-Efficient Office Work: Using Python to Get a Full Day's Work Done in Three Minutes, which is classified under programming and design. Judging from the title and category, the writing addresses practical office scenarios and seeks to combine Python programming with AI tools, helping readers complete routine, repetitive tasks in a short time and improve their efficiency. The book presumably proceeds from concrete tasks and emphasizes practicality and speed of adoption rather than deep theoretical derivation, making it a practical technical title. This approach—turning programming skills into office productivity—suits workplace readers who lack a programming background but hope to reduce their workload through automation. Since no reliable record of the author's nationality, life, or professional background has been found, no speculation is offered here; the note is limited to a brief account of the work's subject matter and intended readership, and its style can be described as close to practice and focused on efficiency.

李旻玥 Author

Li Minyue is an author about whom limited public information is available. The library currently holds only one work by this author, AI-Efficient Office Work: Using Python to Get a Full Day's Work Done in Three Minutes, which is classified under programming and design. Judging from this representative title, the author's writing leans toward practical technology popularization, focusing on how Python and artificial intelligence tools can improve everyday office efficiency and connecting programming skills with real work scenarios for general readers who hope to get started with automation in a short time. The contrast in the title between "three minutes" and "a full day's work" suggests a style that values efficiency and hands-on operation, likely organized around concrete tasks and reusable methods rather than deep theoretical discussion. Because details such as birth and death dates, nationality, education, and professional experience cannot be confirmed, this profile makes no inferences about the author's personal background and merely outlines the thematic focus and writing characteristics indicated by the available bibliographic facts for readers' reference.

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