Author: Chaolemen Borjigin Full Title: Python Data Science Publisher: Springer; 2023rd edition (August 1, 2023) Year: 2023 ISBN-13: 9789811977022 (978-981-19-7702-2), 9789811977015 (978-981-19-7701-5), 9789811995910 (978-981-19-9591-0) ISBN-10: 981197702X, 9811977011, 9811995915 Pages: 345 Language: English Genre: Educational: Data Science File type: PDF (True) Quality: 10/10 Price: 80.24 € 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. Overview: ✓ A best-selling book on Python programming for data science and big data analytics in China ✓ Combines Python coding with data science thinking ✓ Provides an open-source community via GitHub, and course materials licensed for free consumption ------------- Our members see more. Join us!
