Description

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 scie

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

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£65.86

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Paperback by Paul Deitel

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Short Description:

For introductory-level Python programming and/or data-science courses. A ground-breaking, flexible approach to computer science and data science The Deitels'' Introduction... Read more

    Publisher: Pearson Education Limited
    Publication Date: 1/15/2021
    ISBN13: 9781292364902, 978-1292364902
    ISBN10: 1292364904

    Non Fiction , Politics, Philosophy & Society

    Description

    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 scie

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