Pandas Basics

  • 2h 58m
  • O. Campesato
  • Mercury Learning
  • 2022

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.


  • Provides the reader with numerous code samples for Pandas and NumPy programming concepts, and an introduction to statistical concepts and data visualization
  • Includes an introductory chapter on Python
  • Companion files with code

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).

In this Book

  • Introduction to Python
  • Working with Data
  • Introduction to Probability and Statistics
  • Introduction to Pandas (1)
  • Introduction to Pandas (2)
  • Introduction to Pandas (3)
  • Data Visualization