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MERCURY LEARNING and INFORMATION provides print and digital content in the areas of science and medicine, technology and computing, engineering, and mathematics (STEM disciplines) designed for the professional/reference, trade, library, higher education, career school, and online training markets. We embrace both traditional and innovative publishing models designed to accommodate the needs of the intended audience by using the appropriate delivery methods.
Pandas Basics
ISBN: 9781683928263
Pub Date: December 2022
Specs: 7 x 9 Paperback
Pages: 200
Price: $49.95
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.
FEATURES
- 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
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).