Python for data analysis / Wes McKinney.
Tipo de material:
TextoDetalles de publicación: United States of America : O'Reilly, ©2013.Edición: 1a ediciónDescripción: xiii, 447 páginas : ilustraciones ; 24 x 18 centímetrosTipo de contenido: - texto
- sin medio
- rda
- 9781449319793
- QA 76 .73 .P98 M15 2013
| Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Signatura topográfica | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | |
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Libros para consulta en sala
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Biblioteca Antonio Enriquez Savignac | Biblioteca Antonio Enriquez Savignac | COLECCIÓN RESERVA | QA 76 .73 .P98 M15 2013 (Navegar estantería(Abre debajo)) | 1 | No para préstamo | Ing. Telematica | 036644 |
En la cubierta: Data Wrangling with Pandas, NumpPy, and IPython
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.
" Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language. " P. Web Editorial
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