Intro to Python for Computer Science and Data Science (Global Edition) ePDF

Level/Grade: Tertiary
Author(s): Deitel, P; Deitel, H
ISBN: 9781292364933
License: Perpetual licence
File type: ePDF
R717,00
R717,00
The Deitels' Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud offers a unique approach to teaching introductory Python programming, appropriate for both computer-science and data-science audiences.

Providing the most current coverage of topics and applications, the book is paired with extensive traditional supplements as well as Jupyter Notebooks supplements. Real-world datasets and artificial-intelligence technologies allow students to work on projects making a difference in business, industry, government and academia. Hundreds of examples, exercises, projects (EEPs) and implementation case studies give students an engaging, challenging and entertaining introduction to Python programming and hands-on data science.

The book's modular architecture conveniently enables instructors to adapt the text to a wide range of computer-science and data-science courses offered to audiences drawn from many majors. Computer-science instructors can integrate as much or as little data-science and artificial-intelligence topics as they'd like, and data-science instructors can integrate as much or as little Python as they'd like. The book aligns with the latest ACM/IEEE CS-and-related computing curriculum initiatives and with the Data Science Undergraduate Curriculum Proposal sponsored by the National Science Foundation.

This eBook is in ePDF format, which enables you to:
  • View the entire book offline on desktop or tablet;
  • Search for and highlight text; and
  • Add and edit personal notes directly in your eBook.
Country South Africa
Product Type Text Book
Author(s) Deitel, P; Deitel, H
Level/Grade Tertiary
Brand Global Edition
Imprint Pearson
ISBN 9781292364933
Licence Perpetual licence
File type ePDF
Format Fixed layout
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