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

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

Autor: Paul Deitel
Język: Angielski
Oprawa: Miękka
Wydawca: PEARSON Education Limited
Dostępność: Dostępna u dostawcy
Wysyłamy za 3-5 dni
385.28 zł
For introductory-level Python programming and/or data-science courses. A ground-breaking, flexible a...

Informacje o książce

Autor
Paul Deitel
Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2021
strony
880
EAN
9781292364902
ISBN
1292364904
Enbook ID
33512995
Wydawca
PEARSON Education Limited
Waga
1282
Wymiary
231 x 179 x 35

Pełny opis

For introductory-level Python programming and/or data-science courses.

A ground-breaking, 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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