Python for Data Science For Dummies (For Dummies (Computer/Tech))

Mueller, John Paul

ISBN 10: 1118844181 / ISBN 13: 9781118844182

Published by For Dummies, 2015

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Bibliographic Details

• Title: Python for Data Science For Dummies (For Dummies (Computer/Tech))
• Publisher: For Dummies
• Publication Date: 2015
• Language: English
• ISBN 10: 1118844181
• ISBN 13: 9781118844182
• Binding: Paperback
• Condition: new

About this title

Synopsis

Unleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. Python for Data Science For Dummies shows you how to take advantage of Python programming to acquire, organize, process, and analyze large amounts of information and use basic statistics concepts to identify trends and patterns. You ll get familiar with the Python development environment, manipulate data, design compelling visualizations, and solve scientific computing challenges as you work your way through this user-friendly guide. * Covers the fundamentals of Python data analysis programming and statistics to help you build a solid foundation in data science concepts like probability, random distributions, hypothesis testing, and regression models * Explains objects, functions, modules, and libraries and their role in data analysis * Walks you through some of the most widely-used libraries, including NumPy, SciPy, BeautifulSoup, Pandas, and MatPlobLib Whether you re new to data analysis or just new to Python, Python for Data Science For Dummies is your practical guide to getting a grip on data overload and doing interesting things with the oodles of information you uncover.

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.com.