Also covered in less depth are some other components in Python’s data analysis ecosystem. There are chapters on iPython and NumPy. A chapter on plotting and visualization provides a great rundown of matplotlib, along with mention of alternatives like chaco and mayavi.
Pandas is then presented in significant depth, with sections on data storage, data transformation, data aggregation and time series analysis. This forms the bulk of the book.
This is a well-written book that provides a good summary of Python’s data analysis capabilities, however, it will not teach you how to do data analysis. This book will show you how to use the Pandas library.
Note: This book was provided by O’Reilly Media as part of their blogger review program.