Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud – eBook


  • Authors: Paul J. Deitel, Harvey Deitel
  • File Size: 74 MB
  • Format: PDF
  • Length880 pages
  • Publisher: Pearson
  • Publication Date: February 25, 2019
  • Language: English
  • ISBN-10: 0135404673, 0135404819
  • ISBN-13: 9780135404676, 9780135404812


A flexible, groundbreaking approach to data science and computer science

The Deitels’ Introduction to Python for Computer Science and Data Science (PDF) provides a unique approach to teaching introductory Python programming, suitable for both computer-science and data-science audiences. Offering the most current coverage of topics and applications, the ebook is paired with broad traditional supplements as well as Jupyter Notebooks supplements. Real-world datasets and artificial intelligence technologies enable college students to work on projects making a difference in business, government, , industry and academia. Hundreds of exercises, examples, projects (EEPs), and implementation case studies give students a challenging, engaging, and entertaining introduction to Python programming and practical data science.

The ebook’s modular architecture enables instructors to appropriately adapt the textbook to a wide range of computer-science and data-science courses proposed to audiences drawn from many majors. Computer-science instructors can incorporate as much or as little data-science and artificial-intelligence topics as they’d like, and data-science instructors can incorporate as much or as little Python as they’d like. The ebook aligns with the latest ACM/IEEE CS-and-related computing curriculum initiatives and with the Data Science Undergraduate Curriculum Proposal funded by the National Science Foundation.


The best-planned Intro to Data Science/Python book I have seen.” — Roland DePratti, Central Connecticut State University

You’ll develop applications using cloud computing and industry-standard libraries services.” — Daniel Chen, Data Scientist, Lander Analytics

Strikes a good balance between teaching computer science basics and putting data science techniques into practice. Designed to aid students not only learn programming fundamentals but also influence a large number of existing libraries to start accomplishing jobs with minimal code. Concepts are complemented by rich Python examples that students can adapt to apply their own solutions to data science problems. I like that cloud services are used.” — David Koop, Assistant Professor, U-Mass Dartmouth

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NOTE: The product only includes the ebook, Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud in PDF. No access codes are included.