Book
Licensed
Unlicensed
Requires Authentication
Python 3 and Data Analytics Pocket Primer
-
Oswald Campesato
Language:
English
Published/Copyright:
2021
About this book
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 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
Author / Editor information
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).
Supplementary Materials
Topics
|
Publicly Available Download PDF |
i |
|
Publicly Available Download PDF |
vii |
|
Publicly Available Download PDF |
xv |
|
Requires Authentication Unlicensed Licensed Download PDF |
1 |
|
Requires Authentication Unlicensed Licensed Download PDF |
31 |
|
Requires Authentication Unlicensed Licensed Download PDF |
49 |
|
Requires Authentication Unlicensed Licensed Download PDF |
83 |
|
Requires Authentication Unlicensed Licensed Download PDF |
135 |
|
Requires Authentication Unlicensed Licensed Download PDF |
163 |
|
Requires Authentication Unlicensed Licensed Download PDF |
207 |
|
Requires Authentication Unlicensed Licensed Download PDF |
233 |
Publishing information
Pages and Images/Illustrations in book
eBook published on:
April 2, 2021
eBook ISBN:
9781683926535
Paperback published on:
April 12, 2021
Paperback ISBN:
9781683926542
Pages and Images/Illustrations in book
Main content:
238
Keywords for this book
Computer Science; Data Analytics; Programming; Python; NumPy; Pandas; Matplotlib; Seaborn
Safety & product resources
-
Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com
