This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1000grams, ISBN:9781491957660.

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Detalles bibliogr�ficos

T�tulo

Python for Data Analysis: Data Wrangling With Pandas, Numpy, and Ipython

Editor

O Reilly Media, Inc.

Fecha de publicaci�n

2018

Idioma

Ingl�s

ISBN 10

1491957662

ISBN 13

9781491957660

Encuadernaci�n

Encuadernaci�n de tapa blanda

Edici�n

2� Edici�n

Estado

Good

Cat�logos de vendedores

Computing

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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.

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Descripci�n de la librer�a

Based in central Lincoln, Anybook Ltd. sells exclusively on line. We specialise in academic works. All our books are in good condition or better, unless otherwise described. We will respond to your enquiry promptly and mail books out within 24 hours of receiving payment. We use Royal Mail and other reputable couriers at greatly discounted postage rates. If you find cheaper postage from the UK, we'll match it. Remember if you are unsatisfied in any way with any purchase, we will give you a complete and unconditional refund. All books are hand wrapped. All e-mails answered personally. All books are offered subject to being unsold.

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Anybook Ltd.
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Anybook Ltd is a company registered in England and Wales. Company Registration Number: 3692291. VAT Number: GB753406145. Share Capital GBP100.

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