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 |
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| QA 76 .73 .P98 A525 2022 Python basics : a practical introduction to python 3 / | QA 76 .73 .P98 D39 2010 Python programming for the absolute beginner / | QA 76 .73 .P98 F47 Python 3 al descubierto / | QA 76 .73 .P98 M15 2013 Python for data analysis / | QA76 .73 .P98 M337 2019 Big data analysis with python : combine spark and python to unlock the powers of parallel computing and machine learning / | QA 76 .73 .P98 M38 2019 Python crash course : a hands-on, project-based introduction to programming / | QA 76.73.P98 M85 2016 Introduction to machine learning with Python : a guide for data scientists / |
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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