Free download and read ebooks online Introduction To Python For The Computer And Data Sciences - Learning To Program In A World Of Big Data And AI by Paul Deitel, Paul J. Deitel, Harvey Deitel full book PDF ePUB Audiobook. Download a free ebooks and kindle audiobook Introduction To Python For The Computer And Data Sciences - Learning To Program In A World Of Big Data And AI with ISBN id 9780135404676 full page with book summary. Paul Deitel book PDF ePUB of Introduction To Python For The Computer And Data Sciences - Learning To Program In A World Of Big Data And AI published by Pearson in 2019-02-15. Introduction to Python for the Computer and Data Sciences released with category Python (Computer program language) with total 880 pages.
Introduction To Python For The Computer And Data Sciences - Learning To Program In A World Of Big Data And AI by Paul Deitel free online open library
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.
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