000			01921nam a22001697a 4500
005			20250303110708.0
020			_a978-1292364902
082			_a005.133 _bDEI-I
100			_aDeitel, Paul
245			_aIntro to Python for Computer Science and Data Science: _bLearning to Program with AI, Big Data and The Cloud
250			_aGlobal Edition
260			_aUnited Kingdom _bPearson _c2022
300			_a879p,
500			_aA groundbreaking, flexible approach to computer science anddata science 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 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 withthe Data Science Undergraduate Curriculum Proposal sponsored by the NationalScience Foundation.
504			_aInclude Index.
942			_cBK
999			_c34474 _d34474