Python 3 and Data Analytics Pocket Primer

by Oswald Campesato

Overview

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 [e-mail].

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

Product Details

ISBN-13:	9781683926542
Publisher:	Mercury Learning and Information
Publication date:	03/29/2021
Series:	Pocket Primer
Pages:	238
Product dimensions:	6.00(w) x 9.00(h) x (d)

About the Author

Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty-five books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).

Table of Contents

1: Introduction to Python
2: Working with Data
3: Introduction to NumPy
4: Introduction to Pandas
5: Introduction to Probability and Statistics
6: Data Visualization
Appendix
Regular Expressions
Index