Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
McKinney, Wes
ISBN 10: 1491957662 ISBN 13: 9781491957660
Editorial: O'Reilly Media, 2017
Usado
Encuadernación de tapa blanda
Librería:
Bay State Book Company, North Smithfield, RI, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Vendedor de AbeBooks desde 23 de enero de 2023
Este artículo en concreto ya no está disponible.
Descripción
Descripción:
The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing. N° de ref. del artículo BSM.14AJO
Sinopsis:
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.
Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.
- Use the IPython shell and Jupyter notebook for exploratory computing
- Learn basic and advanced features in NumPy (Numerical Python)
- Get started with data analysis tools in the pandas library
- Use flexible tools to load, clean, transform, merge, and reshape data
- Create informative visualizations with matplotlib
- Apply the pandas groupby facility to slice, dice, and summarize datasets
- Analyze and manipulate regular and irregular time series data
- Learn how to solve real-world data analysis problems with thorough, detailed examples
Acerca del autor: Wes McKinney is the main author of pandas, the popular open sourcePython library for data analysis. Wes is an active speaker andparticipant in the Python and open source communities. He worked as a quantitative analyst at AQR Capital Management and Python consultant before founding DataPad, a data analytics company, in 2013. He graduated from MIT with an S.B. in Mathematics.
"Sobre este título" puede pertenecer a otra edición de este libro.
Detalles bibliográficos
Título: Python for Data Analysis: Data Wrangling ...
Editorial: O'Reilly Media
Año de publicación: 2017
Encuadernación: Encuadernación de tapa blanda
Condición: good
Edición: 2ª Edición