Python for data analysis : data wrangling with pandas, NumPy, and IPython / Wes McKinney.
Tipo de material:
TextoIdioma: Inglés Editor: Sebastopol, California : O'Reilly Media, Inc., October 2018Fecha de copyright: ©2018Edición: Second editionDescripción: xvi, 524 páginas : ilustracionesISBN: - 9781491957660
- Data wrangling with pandas, NumPy, and IPython
- 005.133 23
| Tipo de ítem | Biblioteca actual | Colección | Signatura topográfica | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems | |
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Libros
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Ingeniería General | General | 005.133 M478p [2018] | Disponible | 00428528 |
Primera edición: octubre de 2012.
Incluye índice.
Preliminaries -- Python language basics, IPython, and Jupyter notebooks -- Built-in data structures, functions, and files -- NumPy basics: arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data cleaning and preparation -- Data wrangling: join, combine, and reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Advanced pandas -- Introduction to modeling libraies in Python -- Data analysis examples -- Advanced NumPy -- More on the IPython system.
"Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process"--Page 4 of cover.