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Intro to Python for Computer Science and Data Science: Learning to Program with Ai, Big Data and the Cloud
Contributor(s): Deitel, Paul (Author), Deitel, Harvey (Author)
ISBN: 0135404673     ISBN-13: 9780135404676
Publisher: Pearson
OUR PRICE:   $101.32  
Product Type: Paperback
Published: February 2019
Qty:
Additional Information
BISAC Categories:
- Computers | Programming Languages - Python
Dewey: 005.133
LCCN: 2019003447
Physical Information: 1.3" H x 6.9" W x 9.1" (2.75 lbs) 880 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
For introductory-level Python programming and/or data-science courses.

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.