Python For Data Science For Dummies Paperback English by Zanab Hussain - December 22, 2014
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Author 1
Zanab Hussain
Book Description
Python is a general purpose programming language that is popular with data scientists. It is free, as are a number of open-source libraries help acquire, organize, and process information. This book is designed for beginners to data analysis and covers the basics of Python data analysis programming and statistics. The book covers the Python fundamentals that are necessary to data analysis, including objects, functions, modules, and libraries. The libraries that are integral to data science are explored and explained, including NumPy, SciPy, BeautifulSoup, Pandas, and MatPlobLib.The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.The remainder of the book provides examples and tips and tricks for doing interesting things with data analysis programming. The topics are arranged into the following parts: PART I: Getting to know Python's Data Science ToolkitPART II: Playing with Data and Basic StatsPART III: Taming the Data with Pandas, and a Little with WordsPART IV: Popular Topics in Data SciencePart V: The Part of Tens
ISBN-10
1118844181
Language
English
Publisher
John Wiley & Sons Inc
Publication Date
December 22, 2014
About the Author
John Paul Mueller, consultant, application developer, writer, and technical editor, has written over 600 articles and 97 books. His topics range from programming to home security. Luca Massaron is a data scientist and a research director specializing in multivariate statistical analysis, machine learning, and customer insight. He is a pioneer of Web audience analysis in Italy and was named one of the top ten data scientists at competitions by kaggle.