Deitel P., Deitel H. - Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud [ENG] (2020) + Code

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Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud / Введение в Python для Компьютерных наук и Науки о данных: Изучение программирования для ИИ, Big Data и облачных сервисов

Год издания: 2020
Автор: Deitel P., Deitel H. / Дейтел П., Дейтел Х.
Издательство: Pearson
ISBN: 978-0-13-540467-6
Язык: Английский
Формат: PDF
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 887
Описание:

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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