Title Statements
- Full title :Python for data analysis / Wes McKinney.
Edition Statements
- Publication Date:cop. 2013.
Publication Statements
- Publisher(s):O'Reilly
- Place of Publication:Beijing
- Language:eng
- Publication Date:cop. 2013.
Notes
En la cub. : Data wrangling with Pandas, NumPy, and IPython.
Índice analítico: p. 433-452.
Índice abreviado: 1 Preliminaries 2 Introductory examples 3 IPython : an interactive computing and development environment 4 NumPy basics : arrays and vectorized computation 5 Getting started with pandas 6 Data loading, storage, and file formats 7 Data wrangling : clean, transform, merge, reshape 8 Plotting and visualization 9 Data aggregation and group operations 10 Time series 11 Financial and economic data applications 12 Advanced NumPy. Appendix: Python Language Essentials.
The Physical Object
- Description:XIII, 452 p. : : il. ; : 24 cm
Edition Identifiers
- ISBN:9781449319793, 1449319793
- oclc:ocn913075623
- LC Classification:QA76.73.P98
- Dewey Decimal:001.6424
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