Intro to Python for Computer Science and Data Science, Global Edition

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

eBook Details:

  • Paperback: 882 pages
  • Publisher: WOW! eBook; 1st edition (September 10, 2021)
  • Language:¬†English
  • ISBN-10: 1292364904
  • ISBN-13: 978-1292364902

eBook Description:

Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, Global Edition: A groundbreaking, flexible approach to computer science and data science

The Deitels’ Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, Global Edition 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 Intro to Python for Computer Science and Data Science, Global Edition 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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2 Responses

  1. October 25, 2021

    […] Python for Geeks: Take your Python skills to the next level to develop scalable, real-world applications for local as well as cloud deployment: All code examples have been tested with Python 3.7 and Python 3.8 and are expected to work with any future 3.x release […]

  2. October 27, 2021

    […] Science Solutions with Python: Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and […]

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