[Ebook PDF] Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, 1st Edition

• Delivery: Can be download Immediately after purchasing
• Version: Only PDF Version.
• Compatible Devices: Can be read on any devices (Kindle, NOOK, Android/IOS devices, Windows, MAC)
• Quality: High Quality. No missing contents. Printable

_____________________________________________________________

ISBN-13: 978-0135404676
ISBN-10: 0135404673

Author: Paul Deitel (Author), Harvey Deitel (Author)

A groundbreaking, 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.