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Intro to Python: Computer & Data Science, AI, Big Data
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Highlights
For introductory Python programming and data-science courses.
A groundbreaking and flexible introduction 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 presents a distinctive approach to teaching beginners. Designed for both computer-science and data-science audiences, the book provides up-to-date coverage of modern topics and applications, supported by extensive traditional resources and Jupyter Notebook supplements. Using real-world datasets and AI technologies, students tackle projects that reflect meaningful work in business, industry, government, and academia. Hundreds of examples, exercises, end-of-chapter projects, and implementation case studies create an engaging, challenging, and hands-on introduction to Python and applied data science.
The text’s modular structure lets instructors tailor their course to a wide range of student backgrounds and academic goals. Computer-science instructors can include as much data science and AI content as they wish, while data-science instructors can emphasize Python programming to whatever extent they find appropriate. The book is aligned with the latest ACM/IEEE curriculum guidelines for computing and the National Science Foundation–supported Undergraduate Data Science Curriculum Proposal.
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