Python 3 and Data Analytics

Pocket Primer

Python 3 and Data Analytics
Oswald Campesato
RRP:
NZ$ 99.99
Our Price:
NZ$ 94.99
Paperback
h229 x 178mm - 250pg
29 Mar 2021 US
9781683926542
Out Of Stock
Currently no stock in-store, stock is sourced to your order
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.
Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, NLP, Android, and TensorFlow. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the Data Science Fundamentals Pocket Primer (all Mercury Learning and Information).
Status: Indent title, imported to order
ISBN-13: 9781683926542
Published: 29 Mar 2021
Published In: United States
Imprint: Mercury Learning & Information
Publisher: Mercury Learning & Information
Format: Paperback
Height: 229mm
Width: 178mm
Weight: 550g
Pages: 250

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