Pandas Basics / / Oswald Campesato.
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 statistic...
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Superior document: | Title is part of eBook package: De Gruyter MLI ASEE STEM eBook-Package 2024 |
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Place / Publishing House: | Dulles, VA : : Mercury Learning and Information, , [2022] ©2022 |
Year of Publication: | 2022 |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource (200 p.) |
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Other title: | Frontmatter -- Contents -- Preface -- Chapter 1: Introduction to Python -- Chapter 2: Working with Data -- Chapter 3: Introduction to Probability and Statistics -- Chapter 4: Introduction to Pandas (1) -- Chapter 5: Introduction to Pandas (2) -- Chapter 6: Introduction to Pandas (3) -- Chapter 7: Data Visualization -- Index |
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Summary: | 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 |
Format: | Mode of access: Internet via World Wide Web. |
ISBN: | 9781683928256 9783111564340 9783111574073 9783111502496 |
DOI: | 10.1515/9781683928256 |
Access: | restricted access |
Hierarchical level: | Monograph |
Statement of Responsibility: | Oswald Campesato. |