Pandas Basics
- Publisher
Mercury Learning and Information - Published
6th December 2022 - ISBN 9781683928263
- Language English
- Pages 200 pp.
- Size 7" x 9"
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- Publisher
Mercury Learning and Information - Published
7th December 2022 - ISBN 9781683928249
- Language English
- Pages 200 pp.
- Size 7" x 9"
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- Publisher
Mercury Learning and Information - Published
7th December 2022 - ISBN 9781683928256
- Language English
- Pages 200 pp.
- Size 7" x 9"
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
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
Oswald Campesato
Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty-five books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).