Introduction to Python for the Computer and Data Sciences
Author | : Paul Deitel |
Publisher | : Pearson |
Total Pages | : 880 |
Release | : 2019-02-15 |
ISBN-10 | : 0135404673 |
ISBN-13 | : 9780135404676 |
Rating | : 4/5 (676 Downloads) |
Download or read book Introduction to Python for the Computer and Data Sciences written by Paul Deitel and published by Pearson. This book was released on 2019-02-15 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.