Python For Data Analysis

Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It’s ideal for analysts new to Python and for Python programmers new to scientific computing. •Use the IPython interactive shell as your primary development environment •Learn basic and advanced NumPy (Numerical Python) features •Get started with data analysis tools in the pandas library •Use high-performance tools to load, clean, transform, merge, and reshape data •Create scatter plots and static or interactive visualizations with matplotlib •Apply the pandas groupby facility to slice, dice, and summarize datasets •Measure data by points in time, whether it’s specific instances, fixed periods, or intervals •Learn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples