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

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

For beginner level Python programming and/or data science courses.

eBook details

  • Authors: Paul J. Deitel, Harvey Deitel
  • File Size: 74 MB
  • Format: PDF
  • Length: 880 pages
  • Publisher: Pearson
  • Publication Date: February 25, 2019
  • Language: English
  • ISBN-10: 0135404673, 0135404819
  • ISBN-13: 9780135404676, 9780135404812

Original price was: $55.00.Current price is: $14.00.

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About The Author

Harvey Deitel

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

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.

 

Looking for a flexible and groundbreaking approach to learning Python for data science and computer science? Look no further than the Introduction to Python for Computer Science and Data Science eBook (PDF) by the Deitels. This eBook is ideal for both computer-science and data-science audiences, with the most current coverage of topics and applications.

What makes this eBook stand out is its focus on real-world datasets and artificial intelligence technologies, allowing college students to work on projects with practical applications in business, government, industry, and academia. With hundreds of exercises, examples, and case studies, students will have a challenging, engaging, and entertaining introduction to Python programming and practical data science.

The modular architecture of the eBook is adaptable to a wide range of computer-science and data-science courses that serve audiences with different majors. Computer-science instructors can teach data-science and artificial-intelligence topics as much or as little as they’d like, while data-science instructors can do the same with Python.

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.

Reviews

Discover what makes this eBook a must-read:

“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

PLEASE 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 format. No access codes are included. Interested instructors can contact us for other instructor resources, such as the Introduction to Python for Computer Science and Data Science TestBank.

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