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Pocket Primer

Python 3 and Data Analytics Pocket Primer

Frontmatter

Contents

Preface

Chapter 1. Introduction to Python

Chapter 2. Working with Data

Chapter 3. Introduction to NumPy

Chapter 4. Introduction to Pandas

Chapter 5. Introduction to Probability and Statistics

Chapter 6. Data Visualization

Appendix: Regular Expressions

Index

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.

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...

Format

Python 3 and Data Analytics Pocket Primer

Oswald Campesato

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