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This document provides an overview and table of contents for the book "Python for Data Analysis" by Wes McKinney. The book covers using Python and essential Python data analysis libraries like NumPy, pandas, matplotlib, and others for data wrangling, exploration, and modeling. It includes chapters on data structures and manipulation, data loading and storage, data cleaning, aggregation, visualization, and more. The second edition was published in 2017 and builds on the first edition. - Download as a PDF or view online for free
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