Python 3 and Data Analytics Pocket Primer

Oswald Campesato

$71.99

Paperback

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English

Mercury Learning & Information
29 March 2021

Computing: general; Computer programming & software development; Artificial intelligence

Series: Pocket Primer

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.

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.

By: Oswald Campesato
Imprint: Mercury Learning & Information
Country of Publication: United States
Dimensions: Height: 229mm, Width: 178mm,
Weight: 549g
ISBN: 9781683926542
ISBN 10: 1683926544
Series: Pocket Primer
Pages: 238
Publication Date: 29 March 2021
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Campesato Oswald : Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

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Python 3 and Data Analytics Pocket Primer

Oswald Campesato

$71.99

Paperback

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