Python 3 and Data Analytics Pocket Primer eBook

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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 [email protected].

FEATURES:
Includes a concise introduction to Python 3
Provides a thorough introduction to data and data cleaning
Covers NumPy and Pandas
Introduces statistical concepts and data visualization (Matplotlib/Seaborn)
Features an appendix on regular expressions
Includes companion files with source code and figures

This is a digital product.

Python 3 and Data Analytics Pocket Primer is written by Oswald Campesato and published by Mercury Learning & Information. The Digital and eTextbook ISBNs for Python 3 and Data Analytics Pocket Primer are 9781683926528, 1683926528 and the print ISBNs are 9781683926542, 1683926544.