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Python for Everybody : Exploring Data in Python 3

Python for Everybody : Exploring Data in Python 3

Python for Everybody : Exploring Data in Python 3 Paperback - 2016

by Charles Severance

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CreateSpace Independent Publishing Platform, 2016. Paperback. Acceptable. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.Dust jacket quality is not guaranteed.
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Details

  • Title Python for Everybody : Exploring Data in Python 3
  • Author Charles Severance
  • Binding Paperback
  • Condition Used - Acceptable
  • Pages 246
  • Volumes 1
  • Language ENG
  • Publisher CreateSpace Independent Publishing Platform
  • Publication date 2016
  • Features Index
  • Bookseller's Inventory # G1530051126I5N00
  • ISBN 9781530051120 / 1530051126
  • Weight 0.95 lbs (0.43 kg)
  • Dimensions 9.9 x 6.9 x 0.6 in (25.15 x 17.53 x 1.52 cm)
  • Category Computers - Languages / Programming
  • Library of Congress subjects Python (Computer program language), Instructional and educational works
  • Dewey Decimal Code 005.133
  • Quantity available 2

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From the publisher

Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information".There are free downloadable electronic copies of this book in various formats and supporting materials for the book at www.py4e.com. The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course.

About the author

Charles Severance is a Clinical Associate Professor in the School of Information at the University of Michigan where he teaches Informatics courses; he has also taught Computer Science at Michigan State University. Previously he was the Executive Director of the Sakai Foundation and the Chief Architect of the Sakai Project (www.sakaiproject.org). His home page is http: //www.dr-chuck.com.

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