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10-19-2021, 04:41 AM
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English | 2022 | ISBN: 1292364904, 978-1292364902 | 882 pages | True PDF | 49.28 MB
A 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 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.
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https://nitroflare.com/view/EFD1413738841B4/9x94h.Intro.to.Python.for.Computer.Science.and.Dat a.Science.Learning.to.Program.with.AI.Big.Data.and .The.Cloud.Global.Edition.pdf
https://rapidgator.net/file/341b7eaddc55552d721e15ca542e5f5b/9x94h.Intro.to.Python.for.Computer.Science.and.Dat a.Science.Learning.to.Program.with.AI.Big.Data.and .The.Cloud.Global.Edition.pdf
English | 2022 | ISBN: 1292364904, 978-1292364902 | 882 pages | True PDF | 49.28 MB
A 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 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.
DOWNLOAD
https://nitroflare.com/view/EFD1413738841B4/9x94h.Intro.to.Python.for.Computer.Science.and.Dat a.Science.Learning.to.Program.with.AI.Big.Data.and .The.Cloud.Global.Edition.pdf
https://rapidgator.net/file/341b7eaddc55552d721e15ca542e5f5b/9x94h.Intro.to.Python.for.Computer.Science.and.Dat a.Science.Learning.to.Program.with.AI.Big.Data.and .The.Cloud.Global.Edition.pdf