Python for data analysis : data wrangling with Pandas, NumPy, and IPython

McKinney, Wes

dc.creator	McKinney, Wes
dc.date.accessioned	2021-05-26T19:06:46Z
dc.date.available	2021-05-26T19:06:46Z
dc.date.issued	2018
dc.identifier.uri	http://hdl.handle.net/123456789/13259
dc.description.abstract	1. Preliminaries -- 2. Python Language Basics, IPython, and Jupyter Notebooks -- 3. Built-in Data Structures, Functions, and Files -- 4. NumPy Basics: Arrays and Vectorized Computation -- 5. Getting Started with pandas -- 6. Data Loading, Storage, and File Formats -- 7. Data Cleaning and Preparation -- 8. Data Wrangling: Join, Combine, and Reshape -- 9. Plotting and Visualization -- 10. Data Aggregation and Group Operations -- 11. Time Series -- 12. Advanced pandas -- 13. Introduction to Modeling Libraries in Python -- 14. Data Analysis Examples -- A. Advanced NumPy -- B. More on the IPython System.	es
dc.language.iso	en	es
dc.publisher	O’Reilly	es
dc.title	Python for data analysis : data wrangling with Pandas, NumPy, and IPython	es
uade.subject.descriptor	Informática	es
uade.subject.descriptor	Análisis de Datos	es
uade.subject.descriptor	Análisis de la Información	es
uade.subject.descriptor	Procesamiento de Datos	es
uade.edicion	2nd ed.	es
uade.identifier.isbn	9781491957660	es
academic.materia.codigo	3.4.158	es
academic.materia.codigo	3.4.171	es
academic.materia.codigo	3.4.247	es
academic.materia.nombre	Machine Learning - Algoritmos y Aplicaciones	es
academic.materia.nombre	Ciencia de Datos para no Informáticos	es
academic.materia.nombre	Machine Learning - Algoritmos y Aplicaciones	es