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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython 2nd Ed.
USD39,99
Aproximadamente34,06 EUR
Estado:
“Excellent Condition.”
Como nuevo
Libro en perfecto estado y poco leído. La tapa no tiene desperfectos y si procede, con sobrecubierta para las tapas duras. Incluye todas las páginas sin arrugas ni roturas. El texto no está subrayado ni resaltado de forma alguna, y no hay anotaciones en los márgenes. Puede presentar marcas de identificación mínimas en la contraportada o las guardas. Muy poco usado. Consulta el anuncio del vendedor para obtener más información y la descripción de cualquier posible imperfección.
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Ubicado en: Kansas City, Missouri, Estados Unidos
Entrega:
Entrega prevista entre el mié. 30 jul. y el lun. 4 ago. a 94104
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N.º de artículo de eBay:225640010256
Última actualización el 26 jun 2023 16:16:46 H.EspVer todas las actualizacionesVer todas las actualizaciones
Características del artículo
- Estado
- Como nuevo
- Notas del vendedor
- “Excellent Condition.”
- Subject Area
- Data Analysis
- ISBN
- 9781491957660
Acerca de este producto
Product Identifiers
Publisher
O'reilly Media, Incorporated
ISBN-10
1491957662
ISBN-13
9781491957660
eBay Product ID (ePID)
229642588
Product Key Features
Number of Pages
547 Pages
Language
English
Publication Name
Python for Data Analysis : Data Wrangling with Pandas, Numpy, and Ipython
Subject
Data Modeling & Design, Data Processing, Databases / Data Mining, Programming Languages / Python
Publication Year
2017
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Height
1.3 in
Item Weight
33.2 Oz
Item Length
9.2 in
Item Width
7 in
Additional Product Features
Edition Number
2
Intended Audience
Trade
LCCN
2018-302150
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
005.133
Synopsis
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
LC Classification Number
QA76.73.P98M42 2017
Descripción del artículo del vendedor
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