Think Stats: Probability and Statistics for Programmers

Think Stats: Probability and Statistics for Programmers

An introduction to Probability and Statistics for Python programmers.

Publication date: 27 Oct 2014

ISBN-10: 1491907339

ISBN-13: 9781491907337

Paperback: 226 pages

Views: 2,001

Type: N/A

Publisher: O’Reilly Media, Inc.

License: Creative Commons Attribution-NonCommercial 3.0 Unported

Post time: 01 Apr 2016 11:00:00

Think Stats: Probability and Statistics for Programmers

Think Stats: Probability and Statistics for Programmers An introduction to Probability and Statistics for Python programmers.
Tag(s): Python Statistics
Publication date: 27 Oct 2014
ISBN-10: 1491907339
ISBN-13: 9781491907337
Paperback: 226 pages
Views: 2,001
Document Type: N/A
Publisher: O’Reilly Media, Inc.
License: Creative Commons Attribution-NonCommercial 3.0 Unported
Post time: 01 Apr 2016 11:00:00
Summary/Excerpts of (and not a substitute for) the Creative Commons Attribution-NonCommercial 3.0 Unported:
You are free to:

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Adapt — remix, transform, and build upon the material

The licensor cannot revoke these freedoms as long as you follow the license terms.

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Terms and Conditions:
Allen B. Downey wrote:This book is under the Creative Commons Attribution-NonCommercial 3.0 Unported License, which means that you are free to copy, distribute, and modify it, as long as you attribute the work and don't use it for commercial purposes.

From the Description:
Allen B. Downey wrote:Think Stats is an introduction to Probability and Statistics for Python programmers. 

Think Stats emphasizes simple techniques you can use to explore real data sets and answer interesting questions. The book presents a case study using data from the National Institutes of Health. Readers are encouraged to work on a project with real datasets. 

If you have basic skills in Python, you can use them to learn concepts in probability and statistics.Think Stats is based on a Python library for probability distributions (PMFs and CDFs). Many of the exercises use short programs to run experiments and help readers develop understanding.




About The Author(s)


Allen B. Downey (born May 11, 1967) is an American computer scientist, Professor of Computer Science at the Franklin W. Olin College of Engineering and writer of free textbooks. Downey received in 1989 his BS and in 1990 his MA, both in Civil Engineering from the Massachusetts Institute of Technology, and his PhD in Computer Science from the University of California at Berkeley in 1997.
 

Allen B. Downey

Allen B. Downey (born May 11, 1967) is an American computer scientist, Professor of Computer Science at the Franklin W. Olin College of Engineering and writer of free textbooks. Downey received in 1989 his BS and in 1990 his MA, both in Civil Engineering from the Massachusetts Institute of Technology, and his PhD in Computer Science from the University of California at Berkeley in 1997.
 


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