TAILIEUCHUNG - Ebook Python for everybody

(BQ) It is quite natural for academics who are continuously told to “publish or perish” to want to always create something from scratch that is their own fresh creation. This book is an experiment in not starting from scratch, but instead “remixing” the book titled Think Python: How to Think Like a Computer Scientist written by Allen B. Downey, Jeff Elkner, and others. | Python for Everybody Exploring Data Using Python 3 Charles R. Severance Credits Editorial Support: Elliott Hauser, Sue Blumenberg Cover Design: Aimee Andrion Printing History • 2016-Jul-05 First Complete Python version • 2015-Dec-20 Initial Python rough conversion Copyright Details Copyright ~2009- Charles Severance. This work is licensed under a Creative Commons Attribution-NonCommercialShareAlike Unported License. This license is available at You can see what the author considers commercial and non-commercial uses of this material as well as license exemptions in the Appendix titled “Copyright Detail”. iii Preface Remixing an Open Book It is quite natural for academics who are continuously told to “publish or perish” to want to always create something from scratch that is their own fresh creation. This book is an experiment in not starting from scratch, but instead “remixing” the book titled Think Python: How to Think Like a Computer Scientist written by Allen B. Downey, Jeff Elkner, and others. In December of 2009, I was preparing to teach SI502 - Networked Programming at the University of Michigan for the fifth semester in a row and decided it was time to write a Python textbook that focused on exploring data instead of understanding algorithms and abstractions. My goal in SI502 is to teach people lifelong data handling skills using Python. Few of my students were planning to be professional computer programmers. Instead, they planned to be librarians, managers, lawyers, biologists, economists, etc., who happened to want to skillfully use technology in their chosen field. I never seemed to find the perfect data-oriented Python book for my course, so I set out to write just such a book. Luckily at a faculty meeting three weeks before I was about to start my new book from scratch over the holiday break, Dr. Atul Prakash showed me the Think Python book which he had used to teach his Python course

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