Intro to Python for computer science and data science: learning to program with AI, big data and the cloud

By: Deitel, PaulContributor(s): Deitel, HarveyMaterial type: TextTextPublication details: Delhi Pearson 2022Description: 831pISBN: 9789353949518Subject(s): Python (Computer program language)DDC classification: 005.133 Summary: Introduction to Python for Computer Science and Data Science takes a unique, modular approach to teaching and learning introductory Python programming that is relevant for both computer science and data science audiences. The Deitels cover the most current topics and applications to prepare you for your career. Jupyter Notebooks supplements provide opportunities to test your programming skills. Fully implemented case studies in artificial intelligence technologies and big data let you apply your knowledge to interesting projects in the business, industry, government and academia sectors. Hundreds of hands-on examples, exercises and projects offer a challenging and entertaining introduction to Python and data science.Features•Prepares students for future careers with the most current and relevant real-world applications•hands-on, real-world case studies•artificial-intelligence technologies•Helps instructors adapt to a range of computer-science and data-science courses with the flexible modular architecture
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Introduction to Python for Computer Science and Data Science takes a unique, modular approach to teaching and learning introductory Python programming that is relevant for both computer science and data science audiences. The Deitels cover the most current topics and applications to prepare you for your career. Jupyter Notebooks supplements provide opportunities to test your programming skills. Fully implemented case studies in artificial intelligence technologies and big data let you apply your knowledge to interesting projects in the business, industry, government and academia sectors. Hundreds of hands-on examples, exercises and projects offer a challenging and entertaining introduction to Python and data science.Features•Prepares students for future careers with the most current and relevant real-world applications•hands-on, real-world case studies•artificial-intelligence technologies•Helps instructors adapt to a range of computer-science and data-science courses with the flexible modular architecture

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