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Intro to Python for Computer Science and Data Science – eBook

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eBook details

  • 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
SKU: intro-to-python-for-computer-science-and-data-science-learning-to-program-with-ai-big-data-and-the-cloud-ebook Categories: , , , Tags: , , , , , , , , ,


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


Harvey Deitel

Dr. Harvey M. Deitel, Chief Strategy Officer and Chairman of Deitel & Associates, Inc., has over 56 years of experience in computing. Harvey got his B.S. and M.S. degrees in Electrical Engineering from MIT and a Ph.D. in Mathematics from Boston University. He has extensive college teaching experience, including earning tenure and serving as the Chairman of the Computer Science Department at Boston College before founding Deitel & Associates, Inc., in 1991 with his son and co-author, Paul Deitel. The Deitels’ publications have earned international recognition, with more than 100 translations published in German, French, Japanese, Spanish, Russian, Polish, Simplified Chinese, Traditional Chinese, Italian, Portuguese, Greek, Urdu, Korean, and Turkish. Professor Harvey has delivered hundreds of programming courses to corporate, government, academic, and military clients.

Paul J. Deitel

Paul J. Deitel, a Chief Technical Officer and CEO of Deitel & Associates, Inc., is an MIT graduate with over 38 years of computing and corporate training experience and is an Oracle® Java® Champion and a Microsoft® C# MVP. He is a best-selling programming-language textbook/e-learning author. Mr. Deitel is one of the world’s most experienced programming-languages trainers. Through Deitel & Associates, Inc., he has delivered hundreds of programming courses worldwide to clients, including IBM, White Sands Missile Range, Cisco, Sun Microsystems (now Oracle), Dell, Nortel Networks, Siemens, NASA at the Kennedy Space Center, the National Severe Storm Laboratory, Fidelity, Rogue Wave Software, SunGard Higher Education, Boeing, iRobot, Puma, Invensys and many more.

He and his co-author, Dr. Harvey Deitel, are the world’s best-selling programming-language textbook authors.

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

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

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.


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