Intro to Python for Computer Science and Data Science

Intro to Python for Computer Science and Data Science
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Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, Global Edition

by Paul Deitel

  • Length: 882 pages
  • Edition: 1
  • Language: English
  • Publisher: Pearson
  • Publication Date: 2021-09-10
  • ISBN-10: 1292364904
  • ISBN-13: 9781292364902
  • Sales Rank: #440792 (See Top 100 Books)

200 ratings Print Book Look Inside

A groundbreaking, flexible approach to computer science anddata science The Deitels’ Introduction to Python for ComputerScience and Data Science: Learning to Program with AI, Big Data and the Cloudoffers a unique approach to teaching introductory Python programming,appropriate for both computer-science and data-science audiences. Providing themost current coverage of topics and applications, the book is paired withextensive traditional supplements as well as Jupyter Notebooks supplements.Real-world datasets and artificial-intelligence technologies allow students towork on projects making a difference in business, industry, government andacademia. Hundreds of examples, exercises, projects (EEPs) and implementationcase studies give students an engaging, challenging and entertainingintroduction to Python programming and hands-on data science. The book’s modular architecture enables instructors toconveniently adapt the text to a wide range of computer-science anddata-science courses offered to audiences drawn from many majors.Computer-science instructors can integrate as much or as little data-scienceand artificial-intelligence topics as they’d like, and data-science instructorscan integrate as much or as little Python as they’d like. The book aligns withthe latest ACM/IEEE CS-and-related computing curriculum initiatives and withthe Data Science Undergraduate Curriculum Proposal sponsored by the NationalScience Foundation.

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