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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 (Paperback) Loot Price: R2,101
Discovery Miles 21 010
Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, Global Edition...

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

Paul Deitel

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Loot Price R2,101 Discovery Miles 21 010 | Repayment Terms: R197 pm x 12*

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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.

General

Imprint: Pearson Education Limited
Country of origin: United Kingdom
Release date: September 2021
First published: 2022
Authors: Paul Deitel
Dimensions: 232 x 179 x 32mm (L x W x T)
Format: Paperback
Pages: 880
ISBN-13: 978-1-292-36490-2
Categories: Books > Science & Mathematics > Mathematics > General
Books > Computing & IT > Computer programming > General
Books > Computing & IT > Computer software packages > General
Books > Social sciences > Sociology, social studies > Social research & statistics > General
Books > Business & Economics > Business & management > Business mathematics & systems > General
Books > Computing & IT > Internet > Internet languages > General
Books > Computing & IT > Applications of computing > Databases > Data warehousing
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LSN: 1-292-36490-4
Barcode: 9781292364902

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