Description
| Product ID: | 9781292364902 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, Global Edition |
| Authors: | Author: Paul Deitel |
| Page Count: | 880 |
| Subjects: | Social research and statistics, Social research & statistics, Business mathematics and systems, Mathematics, Internet guides and online services, Business applications, Computer programming / software engineering, Web programming, Programming and scripting languages: general, Data warehousing, Business mathematics & systems, Mathematics, Internet guides & online services, Business applications, Computer programming / software development, Web programming, Programming & scripting languages: general, Data warehousing |
| Description: | Select Guide Rating 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. 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. |
| Imprint Name: | Pearson Education Limited |
| Publisher Name: | Pearson Education Limited |
| Country of Publication: | GB |
| Publishing Date: | 2021-02-15 |
