Python Data Science

Rather than presenting Python as Java or C, this book focuses on the essential Python programming skills for data scientists and advanced methods for big data analysts.

Unlike conventional textbooks, it is based on Markdown and uses full-color printing and a code-centric approach to highlight the 3C principles in data science: creative design of data solutions, curiosity about the data lifecycle, and critical thinking regarding data insights. Q&A-based knowledge maps, tips and suggestions, notes, as well as warnings and cautions are employed to explain the key points, difficulties, and common mistakes in Python programming for data science. In addition, it includes suggestions for further reading.

This textbook provides an open-source community via GitHub, and the course materials are licensed for free use under the following license: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).

這本書不像其他以Java或C為基礎的教材，而是專注於教授資料科學家所需的基本Python程式設計技巧和大數據分析師的高級方法。

與傳統教科書不同，本書基於Markdown並使用全彩色印刷和以程式碼為中心的方法，突出資料科學中的3C原則：創造性設計資料解決方案、對資料生命週期的好奇心，以及對資料洞察的批判性思考。書中使用基於問答的知識地圖、提示和建議、註解，以及警告和注意事項來解釋Python資料科學中的關鍵點、困難和常見錯誤。此外，書中還提供了進一步閱讀的建議。

本教科書通過GitHub提供開源社區，課程材料根據以下許可證免費使用：創作共用（CC）署名-非商業性使用-禁止改作 4.0 國際許可證（CC BY-NC-ND 4.0）。

Chaolemen Borjigin is an associate professor at Renmin University of China, and one of the top 50 data science influencers in China. He is a member of the Information System Special Committee of the Chinese Computer Federation, deputy director of the Expert Committee of the National University Artificial Intelligence and Big Data Innovation Alliance of China, executive editorial board member of the academic journal Computer Science, and deputy editor-in-chief of the international journal Data Science and Informatics.

He is the author of Data Science (Tsinghua University Press, 2016), the first monograph in China that systematically introduced data science principles, theories, methods, technologies, and tools. His textbook Data Science Theory and Practice (Second Edition) was recognized as a high-quality textbook by the Beijing Municipal Education Commission in 2019. His course Introduction to Data Science is one of the China National First-Class Undergraduate Courses.

趙樂門·博爾濟吉是中國人民大學的副教授，也是中國最具影響力的50位數據科學專家之一。他是中國計算機學會信息系統專業委員會的成員，中國國家大學人工智能與大數據創新聯盟專家委員會的副主任，學術期刊《計算機科學》的執行編輯委員會成員，以及國際期刊《數據科學與信息學》的副主編。

他是《數據科學》（清華大學出版社，2016年）的作者，這是中國第一本系統介紹數據科學原理、理論、方法、技術和工具的專著。他的教材《數據科學理論與實踐》（第二版）於2019年被北京市教育委員會評為高質量教材。他的課程《數據科學導論》是中國國家一流本科課程之一。