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Python 3 and Data Analytics Pocket Primer

โœ Scribed by Oswald Campesato

Publisher
Mercury Learning and Information
Tongue
English
Leaves
238
Category
Library
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โœฆ Synopsis

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

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cover
๐Ÿ“ Python 3 : Pocket primer
โœ Parker, J. R. (Jim R.), 1955- author ๐Ÿ“‚ Library ๐Ÿ“… 2018 ๐Ÿ› Dulles, Virginia : Mercury Learning & Information ๐ŸŒ English

1 online resource (210 pages)