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