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


Intro to Python for Computer Science and Data Science: Learning to Program with AI,Big Data and The Cloud
by: Paul J. Deitel and Harvey Deitel
Print Length 页数: 880 pages
Publisher finelybook 出版社:‏ Pearson; 1 edition (February 25,2019)
Language 语言: English
ISBN-10: 0135404673
ISBN-13: 9780135404676

Book Description


A groundbreaking,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 science.
The 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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