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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
US $16.33
ApproximatelyS$ 20.95
Condition:
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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Located in: Cedar Rapids, Iowa, United States
Delivery:
Estimated between Mon, 11 Aug and Fri, 15 Aug to 94104
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eBay item number:357076814059
Item specifics
- Condition
- 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
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
Item description from the seller
Seller feedback (24,185)
- n***e (435)- Feedback left by buyer.Past monthVerified purchaseThanks
- p***- (220)- Feedback left by buyer.Past monthVerified purchaseAlmost new condition. Fast free shipping. Thanks.
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Seller feedback (24,185)
- n***e (435)- Feedback left by buyer.Past monthVerified purchaseThanks
- p***- (220)- Feedback left by buyer.Past monthVerified purchaseAlmost new condition. Fast free shipping. Thanks.
- 3***t (436)- Feedback left by buyer.Past monthVerified purchaseItem arrived quickly and in good condition