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Intro to Python for Computer Science and Data Science Learning to Program with AI Big Data and The Cloud

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: Intro to Python for Computer Science and Data ~ 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 .

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Intro to Python for Computer Science and Data Science ~ Intro to Python for Computer Science and Data Science Learning to Program with AI, Big Data and The Cloud (9780135404676) Paul J. Deitel, Harvey Deitel Paperback: 880 pages Publisher: Pearson; 1 edition (February 25, 2019) Language: English ISBN-10: 0135404673 ISBN-13: 978-0135404676 . Download: Click to Download File Name: 978-0135404676.zip

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Intro to Python for Computer Science and Data Science ~ Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud – eBook For beginner level Python programming and/or data science courses. eBook details

Intro to Python for Computer Science and Data Science 1st ~ Intro to Python for Computer Science and Data Science Learning to Program with AI, Big Data and The Cloud 1st Edition by Paul J. Deitel; Harvey Deitel and Publisher Pearson. Save up to 80% by choosing the eTextbook option for ISBN: 9780135404812, 0135404819. The print version of this textbook is ISBN: 9780135404676, 0135404673.

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Python for Programmers: with Big Data and Artificial ~ The professional programmer’s Deitel guide to Pythonwith introductory artificial intelligence case studies. Written for programmers with a background in another high-level language, this book uses hands-on instruction to teach today’s most compelling, leading-edge computing technologies and programming in Python–one of the world’s most popular and fastest-growing languages.

Preface - Deitel & Associates ~ Python, computer science, data science, AI, big data and cloud communities to create 1566 up-to-the-minute examples, exercises and projects (EEPs). IPython’s Immediate-Feedback, Explore, Discover and Experiment Pedagogy † The ideal way to learn from this book is to read it and run the code examples in parallel.