Python for data analysis

Detalles Bibliográficos
Autor principal: McKinney, Wes (-)
Formato: Libro
Idioma:Inglés
Publicado: Beijing : O'Reilly cop. 2013
Materias:
Ver en Universidad de Navarra:https://innopac.unav.es/record=b33572495*spi
Tabla de Contenidos:
  • 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