Python for data analysis

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Python for data analysis
2013
Place Published: 
Beijing
Publisher: 
O'Reilly
ISBN: 
9781449319793
Edition: 
Description: 
xiii, 452 p. : ill. ; 24 cm.
Notes: 
Includes index.
Preliminaries -- Introductory examples -- IPython : an interactive computing and development environment -- NumPy basics : arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data wrangling : clean, transform, merge, reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Financial and economic data applications -- Advancded NumPy.
Author: 
Wes McKinney
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