Pandas Basics

This book is intended for those who plan to become data scientists as well as anyone who needs to perform data cleaning tasks using Pandas and NumPy. It contains a variety of code samples and features of NumPy and Pandas, and how to write regular expressions. Chapter 3 includes fundamental statistical concepts and Chapter 7 covers data visualization with Matplotlib and Seaborn. Companion files with code are available for downloading from the publisher.

TABLE OF CONTENTS

1: Introduction to Python. 2: Working with Data. 3: Introduction to Probability and Statistics. 4: Introduction to Pandas (1). 5: Introduction to Pandas (2). 6: Introduction to Pandas (3). 7: Data Visualization. Index.

ABOUT THE AUTHOR

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Python, Android, and NLP. He is the author of over twenty-five books including Data Wrangling, Python Tools for Data Scientists, and the NLP Using R Pocket Primer (all Mercury Learning).