Python for data analysis / Wes McKinney.
Material type:
TextPublication details: Boston : O´Reilly, 2013.Description: 447 p. ; 24 cmContent type: - texto
- sin mediación
- volumen
- 9781449319793
| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
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Biblioteca "Manuel Belgrano" FRRo-UTN | 004.43 PYT M440 (Browse shelf(Opens below)) | Buen Estado | 1 | Available | 31696 |
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Preface. -- 1. Preliminaries. -- 2. Introductory examples. -- 3. Python : an interactive computing and development enviroement. -- 4. NumPY basic: Arrays and vectorized computation. -- 5. Getting started with pandas. -- 6. Daa loading, storage, and file formats. -- 7. Data wrangling: clean, transforms, merge, reshape. -- 8. Plotting and visualization. -- 9. Data aggregation ans group operations. -- 10. Tme series. -- 11. Financial and economic data applications. -- 12. Advanced NumPY. -- Appendix: Python language essentials. -- Index.
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