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

Description: payment | shipping rates | returns Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython Product Category : Books ISBN : 9781491957660 Title : Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython EAN : 9781491957660 Authors : McKinney, Wes Binding : Paperback Publisher : O'Reilly Media Publication Date : 2017-10-24 Pages : 550 Signed : False First Edition : False Dust Jacket : False List Price (MSRP) : 59.99 Height : 1.0236 inches Width : 7.0079 inches Length : 9.1339 inches Weight : 1.9401 pounds Keywords : HPB Condition : Good About hpb-red Selling quality books and media since 1972. Customer service is our top priority! Payment We accept several payment types. They are shown above. Shipping Please click the "Shipping and Payments" tab above for details. Returns Your satisfaction is very important to us. Please contact us via the methods available within eBay regarding any problems before leaving negative feedback. You have 60 days from purchase to request a refund. © 2024 hpb-red

Price: 16.8 USD

Location: Carrollton, Texas

End Time: 2024-12-03T20:49:55.000Z

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

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 60 Days

Refund will be given as: Money Back

Book Title: Python for Data Analysis: Data Wrangling with Pandas, NumPy, and

Number of Pages: 547 Pages

Publication Name: Python for Data Analysis : Data Wrangling with Pandas, Numpy, and Ipython

Language: English

Publisher: O'reilly Media, Incorporated

Publication Year: 2017

Item Height: 1.3 in

Subject: Data Modeling & Design, Data Processing, Databases / Data Mining, Programming Languages / Python

Type: Textbook

Item Weight: 33.2 Oz

Subject Area: Computers

Author: Wes Mckinney

Item Length: 9.2 in

Item Width: 7 in

Format: Trade Paperback

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