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As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, and data cleaning. The book includes numerous code samples using NumPy, Pandas, Matplotlib, Seaborn, and features an appendix on regular expressions. Companion files with source code and color figures are available online by emailing the publisher with proof of purchase at info@merclearning.com.FEATURES:Includes a concise introduction to Python 3Provides a thorough introduction to data and data cleaningCovers NumPy and PandasIntroduces statistical concepts and data visualization (Matplotlib/Seaborn)Features an appendix on regular expressionsIncludes companion files with source code and figures

Python 3 and Data Analytics Pocket Primer

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As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, and data cle

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Auteur(s): Campesato, Oswald

Editeur: Mercury Learning and Information

Collection: Pocket Primer

Année de Publication: 2021

pages: 258

Langue: Anglais

ISBN: 978-1-68392-654-2

eISBN: 978-1-68392-653-5

As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, and data cle

Voir toute la description...