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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython 2nd Ed.

Greenyef
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US $39.99
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eBay item number:225640010256
Last updated on 26 Jun, 2023 15:16:46 BSTView all revisionsView all revisions

Item specifics

Condition
Like New
A book that has been read, but looks new. The book cover has no visible wear, and the dust jacket (if applicable) is included for hard covers. No missing or damaged pages, no creases or tears, no underlining or highlighting of text, and no writing in the margins. May have no identifying marks on the inside cover. No wear and tear. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller notes
“Excellent Condition.”
Subject Area
Data Analysis
ISBN
9781491957660

About this product

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
Author
Wes Mckinney
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

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Greenyef

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    MY ADVICE, DON'T BUY FROM THIS SELLER! They did not send the item I bought. It was NOT AS PICTURED WHEN I PURCHASED. It was old not new, less quantity than I ordered, for the wrong machine, badly packed, and the box was stained and crushed. It cost me $20 extra to transship to the Caribbean (total $105) & they insisted that to get base $85 refunded I had to return the junk they sent which costs $100 to get there by the ebay deadline. Their error. My loss. Did me out of $85. Buyer beware.
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