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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

Goodwill of the Heartland
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US $10.91
Approximately£8.09
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eBay item number:357076814059
Last updated on 22 Jul, 2025 18:57:38 BSTView all revisionsView all revisions

Item specifics

Condition
Good: A book that has been read, but is in good condition. Minimal damage to the book cover eg. ...
Release Year
2017
Book Title
Python for Data Analysis: Data Wrangling with Pandas, NumPy, a...
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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Goodwill of the Heartland

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At Goodwill of the Heartland, our mission is to advance the social and economic wellbeing of people who face barriers to independence. When you shop or donate to Goodwill, you create jobs and help ...
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    Shipping was amazingly fast and appreciated. The description said “It has very minimal damage to the cover, including scuff marks, or creasing but no holes or tears. The binding has minimal wear.” but came with open tears and holes along the binding. It is possible this happened in shipping because it came on a poly mailer and the book is heavy. The condition of the rest of the book was as described. I still highly recommend this seller!
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  • by rayceladon
    24 Mar, 2021

    Great Tutorial!

    Demystifies Python data structures with concise explanations and easy to follow examples.

    Verified purchase: YesCondition: Pre-ownedSold by: booksforgoodfletcher

  • by jakcst22
    20 Oct, 2020

    Greatest purchase of the year for me! So excite.

    Greatest purchase of the year for me! So excite.

    Verified purchase: YesCondition: NewSold by: annja-3413

  • by ammorr-32
    10 Feb, 2021

    Good deal

    Worth the price.

    Verified purchase: YesCondition: Pre-ownedSold by: balesconsolidated

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