Python for data analysis : data wrangling with pandas, NumPy, and IPython /
McKinney, Wes,
Python for data analysis : data wrangling with pandas, NumPy, and IPython / Data wrangling with pandas, NumPy, and IPython Wes McKinney. - Second edition. - xvi, 524 páginas : ilustraciones.
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.
9781491957660
PYTHON (LENGUAJE DE PROGRAMACION PARA COMPUTADORES)
LENGUAJES DE PROGRAMACION (COMPUTADORES ELECTRONICOS)
PROCESAMIENTO DE DATOS
005.133
Python for data analysis : data wrangling with pandas, NumPy, and IPython / Data wrangling with pandas, NumPy, and IPython Wes McKinney. - Second edition. - xvi, 524 páginas : ilustraciones.
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.
9781491957660
PYTHON (LENGUAJE DE PROGRAMACION PARA COMPUTADORES)
LENGUAJES DE PROGRAMACION (COMPUTADORES ELECTRONICOS)
PROCESAMIENTO DE DATOS
005.133