Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud (1st Global Edition) ISBN : 9781292364902

Deitel, Paul; Deitel, Harvey

ISBN 10: 0135404673 / ISBN 13: 9780135404676

Verlag: Pearson, 2019

Beschreibung

Brand New International Edition textbook. Some book may show sales disclaimer such as "Not for Sale or Restricted in US" on the cover page but it is absolutely legal to use in US or Canada. Ship from Multiple Locations, including Asia , Hong Kong ,Taiwan , US or Canada depend on stock location. Bestandsnummer des Verkäufers 001876

Bibliografische Details

Titel: Intro to Python for Computer Science and ...

Verlag: Pearson

Erscheinungsdatum: 2019

Einband: Soft cover

Zustand: New

Auflage: 1st Edition

Über diesen Titel

Reseña del editor:

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.