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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
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
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
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

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Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud : 880 pages

Author : Paul Deitel

Language : English

 

1) Book Description

The Deitels’ Introduction to Python for ComputerScience and Data Science: Learning to Program with AI, Big Data and the Cloudoffers a unique approach to teaching introductory Python programming,appropriate for both computer-science and data-science audiences. Providing themost current coverage of topics and applications, the book is paired withextensive traditional supplements as well as Jupyter Notebooks supplements.Real-world datasets and artificial-intelligence technologies allow students towork on projects making a difference in business, industry, government andacademia. Hundreds of examples, exercises, projects (EEPs) and implementationcase studies give students an engaging, challenging and entertainingintroduction to Python programming and hands-on data science.

 

The book's modular architecture enables instructors toconveniently adapt the text to a wide range of computer-science anddata-science courses offered to audiences drawn from many majors.Computer-science instructors can integrate as much or as little data-scienceand artificial-intelligence topics as they'd like, and data-science instructorscan integrate as much or as little Python as they'd like. The book aligns withthe latest ACM/IEEE CS-and-related computing curriculum initiatives and withthe Data Science Undergraduate Curriculum Proposal sponsored by the NationalScience Foundation.

 

2 ) About the Author

Paul J. Deitel, CEO and Chief Technical Officer of Deitel & Associates, Inc., is an MIT graduate with 38 years of computing and corporate training experience and is an Oracle® Java® Champion and a Microsoft® C# MVP (2012-2014). He is a best-selling programming-language textbook/professional book/video/e-learning author. Paul is one of the world’s most experienced programming-languages trainers. Through Deitel & Associates, Inc., he has delivered hundreds of programming courses worldwide to clients, including Cisco, IBM, Siemens, Sun Microsystems (now Oracle), Dell, Fidelity, NASA at the Kennedy Space Center, the National Severe Storm Laboratory, White Sands Missile Range, Rogue Wave Software, Boeing, SunGard Higher Education, Nortel Networks, Puma, iRobot, Invensys and many more. He and his co-author, Dr. Harvey M. Deitel, are the world’s best-selling programming-language textbook/professional book/video authors.

 

 

 

 

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