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

<p style="margin:0px;"> <i>For introductory-level Python programming and/or data-science courses.</i> </p> <p style="margin:0px;"> <b> </b> </p> <p style="margin:0px;"> <b>A groundbreaking, flexible approach to computer science and data science</b> </p> <p style="margin:0px;">The Deitels’ <b> <i>Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud</i> </b> 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.</p> <p style="margin:0px;"> </p> <p style="margin:0px;">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.</p> <p style="margin:0px;"> </p> <p style="margin:0px;"> </p> <p style="margin:0px;"> </p>