Borjigin C Python Data Science 2023
Category: eBooks
- views: 142
- date: 3 July 2023
- posted by: BeMyLove
Borjigin C Python Data Science 2023 | 36.4 MB
N/A | 353 Pages
Title: Python Data Science
Author: Chaolemen Borjigin
Year: 2023
Description:
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 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 Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).
DOWNLOAD:
https://rapidgator.net/file/33683679845b858b6b7c97b0d09a0525/Borjigin_C._Python_Data_Science_2023.rar
https://k2s.cc/file/0d473a728c5b6/Borjigin_C._Python_Data_Science_2023.rar
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 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 Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).
DOWNLOAD:
https://rapidgator.net/file/33683679845b858b6b7c97b0d09a0525/Borjigin_C._Python_Data_Science_2023.rar
https://k2s.cc/file/0d473a728c5b6/Borjigin_C._Python_Data_Science_2023.rar
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