Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython by Wes McKinney (2nd Edition)

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Use the IPython shell and Jupiter notebook for exploratory computing
Learn basic and advanced features in NumPy (Numerical Python)
Get started with data analysis tools in the pandas library
Use flexible tools to load, clean, transform, merge, and reshape data
Create informative visualizations with matplotlib
Apply the pandas group by facility to slice, dice, and summarize datasets
Analyze and manipulate regular and irregular time series data
Learn how to solve real-world data analysis problems with thorough, detailed examples.