Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python, Edition 3
About this ebook
- This book targets features in pandas 2.x and beyond
- Practical, easy to implement recipes for quick solutions to common problems in data using pandas
- Master the fundamentals of pandas to quickly begin exploring any dataset
- The pandas type system and how to best navigate it
- Import/export DataFrames to/from common data formats
- Data exploration in pandas through dozens of practice problems
- Grouping, aggregation, transformation, reshaping, and filtering data
- Merge data from different sources through pandas SQL-like operations
- Leverage the robust pandas time series functionality in advanced analyses
- Scale pandas operations to get the most out of your system
- The large ecosystem that pandas can coordinate with and supplement
This book is for Python developers, data scientists, engineers, and analysts. pandas is the ideal tool for manipulating structured data with Python and this book provides ample instruction and examples. Not only does it cover the basics required to be proficient, but it goes into the details of idiomatic pandas
About the author
Will Ayd is a core maintainer of the pandas project, serving in that role since 2018. For over a decade working as a consultant, Will has helped countless clients get the most value from their data using pandas and the open-source ecosystem surrounding it
Matt Harrison has been using Python since 2000. He runs MetaSnake, which provides corporate training for Python and Data Science. He is the author of Machine Learning Pocket Reference, the bestselling Illustrated Guide to Python 3, and Learning the Pandas Library, among other books
