A Whirlwind Tour of Python

A Whirlwind Tour of Python

This free e-book is a fast-paced intro to Python aimed at researchers and engineers.

Publication date: 01 Aug 2016

ISBN-10: n/a

ISBN-13: 9781491964644

Paperback: 98 pages

Views: 3,782

Type: Book

Publisher: O’Reilly Media, Inc.

License: Creative Commons CC0 “No Rights Reserved”

Post time: 29 Jul 2020 05:00:00

A Whirlwind Tour of Python

A Whirlwind Tour of Python This free e-book is a fast-paced intro to Python aimed at researchers and engineers.
Tag(s): Data Science Python
Publication date: 01 Aug 2016
ISBN-10: n/a
ISBN-13: 9781491964644
Paperback: 98 pages
Views: 3,782
Document Type: Book
Publisher: O’Reilly Media, Inc.
License: Creative Commons CC0 “No Rights Reserved”
Post time: 29 Jul 2020 05:00:00
Summary/Excerpts of (and not a substitute for) the Creative Commons CC0 “No Rights Reserved”:
CC0 enables scientists, educators, artists and other creators and owners of copyright- or database-protected content to waive those interests in their works and thereby place them as completely as possible in the public domain, so that others may freely build upon, enhance and reuse the works for any purposes without restriction under copyright or database law.

In contrast to CC’s licenses that allow copyright holders to choose from a range of permissions while retaining their copyright, CC0 empowers yet another choice altogether – the choice to opt out of copyright and database protection, and the exclusive rights automatically granted to creators – the “no rights reserved” alternative to our licenses.

Click here to read the full license.
From the Book Description:
To tap into the power of Python's open data science stack—including NumPy, Pandas, Matplotlib, Scikit-learn, and other tools—you first need to understand the syntax, semantics, and patterns of the Python language. This report provides a brief yet comprehensive introduction to Python for engineers, researchers, and data scientists who are already familiar with another programming language.

Author Jake VanderPlas, an interdisciplinary research director at the University of Washington, explains Python’s essential syntax and semantics, built-in data types and structures, function definitions, control flow statements, and more, using Python 3 syntax.

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About The Author(s)


Jake VanderPlas was formerly both the Director of Open Software and the Director of Research in Physical Sciences for the eScience Institute; he now works at Google. He comes from a background of machine learning and data-intensive astronomy and astrophysics.

Jake Vanderplas

Jake VanderPlas was formerly both the Director of Open Software and the Director of Research in Physical Sciences for the eScience Institute; he now works at Google. He comes from a background of machine learning and data-intensive astronomy and astrophysics.


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