Borjigin C. Python Data Science

Springer, 2023. - 352 p. - ISBN 9811977011.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.Preface.
Python and Data Science.
Basic Python Programming for Data Science.
Advanced Python Programming for Data Science.
Data wrangling with Python.
Data analysis with Python.
Appendix I Best Python Resources for Data Scientists.
Appendix II Answers to Chapter Exercises.True PDF