Python for Data Analysis

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“Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.

Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.
Use the Jupyter notebook and IPython shell for exploratory computingLearn basic and advanced features in NumPyGet started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples

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Readers' opinions about Python for Data Analysis by Wes McKinney

The themes of resilience and hope resonated deeply with me. This book taught me valuable life lessons that I'll carry with me for years to come.

This is a book I'll cherish and recommend to everyone. It touched my soul and made me reflect on life's profound mysteries.

This book has reignited my passion for reading. It reminded me of the sheer joy that can be found in losing oneself in the pages of a good story. I can't wait to explore more books now.

More by Wes McKinney


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