Intro to Python for Computer Science and Data Science GE
Deitel, Paul
Verkauft von SMASS Sellers, IRVING, TX, USA
AbeBooks-Verkäufer seit 22. Februar 2022
Neu - Softcover
Zustand: Neu
Anzahl: 5 verfügbar
In den Warenkorb legenVerkauft von SMASS Sellers, IRVING, TX, USA
AbeBooks-Verkäufer seit 22. Februar 2022
Zustand: Neu
Anzahl: 5 verfügbar
In den Warenkorb legenBrand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability.
Bestandsnummer des Verkäufers ASNT3-26757
For introductory-level Python programming and/or data-science courses.
A ground-breaking, 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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