Comprehensive coverage of pandas, NumPy, and IPython for efficient data manipulation
Hands-on examples and case studies to reinforce learning
Introduction to scientific computing in Python for data-intensive applications
Usage of IPython interactive shell for interactive exploration
Application of data analysis techniques to real-world problems in various fields
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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython by McKinney, Wes. paperback edition. ISBN: 9781449319793.
Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python