Title Statements
- Full title :Python for data analysis / Wes McKinney.
Edition Statements
- Publication Date:2012.
Publication Statements
- Publisher(s):O'Reilly
- Place of Publication:Sebastopol, CA
- Language:eng
- Publication Date:2012.
Notes
On the frontpage: Agile tools for real-world data.
The Physical Object
- Description:452 pages . : : illustrations ; : 24 x 18 cm
Edition Identifiers
- ISBN:9781449319793, 1449319793
- oclc:ocn819315427
- LC Classification:QA76.73.P98
- Dewey Decimal:006.312
Table of Contents
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.
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