Python Data Science

This textbook provides an introduction to Python programming for data science, focusing on essential skills and advanced methods for big data analysis. It uses a code-centric approach, full-color printing, and Markdown to highlight 3C principles: creative design, curiosity, and critical thinking. Q&A-based knowledge maps, tips, suggestions, notes, warnings, and cautions are used to explain key points, difficulties, and common mistakes. It also includes suggestions for further reading and offers an open-source community via GitHub. The course materials are licensed for free use under CC BY-NC-ND 4.0.

Format: Hardback
Length: 345 pages
Publication date: 01 July 2023
Publisher: Springer Verlag, Singapore

Rather than presenting Python as Java or C, this textbook 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).

More teaching materials including Codes, Datasets, Slides, Syllabus can be found at https://github.com/LemenChao/PythonDataScience

Weight: 1131g
Dimension: 279 x 210 (mm)
ISBN-13: 9789811977015
Edition number: 1st ed. 2023