Title Statements
- Full title :Python for data analysis / Wes McKinney.
Edition Statements
- Publication Date:cop. 2014.
Publication Statements
- Publisher(s):O'Reilly
- Place of Publication:Beijing
- Language:eng
- Publication Date:cop. 2014.
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, 447 p. : : il. ; : 24 cm.
Edition Identifiers
- ISBN:9781449319793, 1449319793
- oclc:on1026288085
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