Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
by Wes Mckinney
Python for Data Analysis is a focused resource on working with data through Python. Wes McKinney explores data wrangling with pandas, numerical computing with NumPy, and interactive workflows in Jupyter, providing readers with a practical foundation for organizing, transforming, and examining data.
About This Book
Python for Data Analysis introduces data analysis through Python and the tools named in its subtitle.
Its focus includes data wrangling with pandas, numerical work with NumPy, and interactive analysis in Jupyter.
The book is suited to readers seeking a focused resource for working with data through Python-based tools.
Written by Wes McKinney, it centers on practical data analysis workflows and the technologies commonly associated with them.
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