Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, Global Edition PDF
by Paul Deitel
Description
A ground-breaking, flexible approach to computer science and data science
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 enables instructors to conveniently 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.
Information
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Download - Immediately Available
- Format:PDF
- Publisher:Pearson Education
- Publication Date:01/09/2021
- Category:
- ISBN:9781292364933
Other Formats
- Paperback / softback from £63.23
Information
-
Download - Immediately Available
- Format:PDF
- Publisher:Pearson Education
- Publication Date:01/09/2021
- Category:
- ISBN:9781292364933