|
| Título : |
Python for data analysis : data wrangling with pandas, numpy and ipython |
| Tipo de documento: |
texto impreso |
| Autores: |
McKinney, Wes, Autor |
| Mención de edición: |
Segunda edicion |
| Editorial: |
Oreilly |
| Fecha de publicación: |
2018 |
| Número de páginas: |
xvi, 522 páginas |
| Il.: |
Ilustraciones, graficos, tablas |
| Dimensiones: |
29 cm |
| ISBN/ISSN/DL: |
978-1-4919-5766-0 |
| Idioma : |
Inglés (eng) |
| Clasificación: |
005.74 Archivos de datos y bases de datos |
| Nota de contenido: |
Preliminaries -- Python language basics, ipython and jupyter notebooks -- Built-in data structures, functions and files -- Numpy basics: arrays and vectorized computation -- Gettings started with pandas -- Data loading, storage and files 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 libraries in python -- Data analysis examples. |
| Link: |
https://biblioteca.unap.edu.pe/opac_css/index.php?lvl=notice_display&id=113298 |
Python for data analysis : data wrangling with pandas, numpy and ipython [texto impreso] / McKinney, Wes, Autor . - Segunda edicion . - Oreilly, 2018 . - xvi, 522 páginas : Ilustraciones, graficos, tablas ; 29 cm. ISBN : 978-1-4919-5766-0 Idioma : Inglés ( eng)
| Clasificación: |
005.74 Archivos de datos y bases de datos |
| Nota de contenido: |
Preliminaries -- Python language basics, ipython and jupyter notebooks -- Built-in data structures, functions and files -- Numpy basics: arrays and vectorized computation -- Gettings started with pandas -- Data loading, storage and files 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 libraries in python -- Data analysis examples. |
| Link: |
https://biblioteca.unap.edu.pe/opac_css/index.php?lvl=notice_display&id=113298 |
Python for data analysis
McKinney, Wes -
[S.l.] : Oreilly - 2018
Preliminaries -- Python language basics, ipython and jupyter notebooks -- Built-in data structures, functions and files -- Numpy basics: arrays and vectorized computation -- Gettings started with pandas -- Data loading, storage and files 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 libraries in python -- Data analysis examples.
|
|  |
Python for data analysis / Oreilly (2018)
