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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython 2nd Ed.
US $39.99
ApproximatelyRM 168.65
Condition:
“Excellent Condition.”
Like New
A book in excellent condition. Cover is shiny and undamaged, and the dust jacket is included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear.
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Free USPS Media MailTM.
Located in: Kansas City, Missouri, United States
Delivery:
Estimated between Tue, 29 Jul and Sat, 2 Aug to 91768
Returns:
30 days return. Seller pays for return shipping.
Coverage:
Read item description or contact seller for details. See all detailsSee all details on coverage
(Not eligible for eBay purchase protection programmes)
Seller assumes all responsibility for this listing.
eBay item number:225640010256
Item specifics
- Condition
- Like New
- 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
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 (3,808)
- 4***1 (536)- Feedback left by buyer.Past monthVerified purchaseGreat person to do business with
- t***o (37)- Feedback left by buyer.Past monthVerified purchaseThe fan we ordered arrived in great condition and looks exactly like the picture listed. We consider this an excellent value because it seems the fan cannot be purchased in stores or online anymore. We already own one that we bought at a discount store and we loved it so we wanted to buy one more. The fan operates very quietly and is excellent for sleeping.
- g***l (1845)- Feedback left by buyer.Past monthVerified purchaseVery well-made bras. Great support. Very comfortable. Looks good on, also. Good seller. Shipped fast and packed well.
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