Wish Pearl

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

Description: Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython ISBN : 9781449319793 Title : Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython Authors : Binding : paperback Publisher : O''''Reilly Media Publication Date : Nov 27 2012 Condition : Used - Good Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Payment We accept PayPal for all eBay orders. Please see payment details below. We will only ship to the address that is entered into PayPal when payment is made! Shipping Multiple shipping options are available for this item. For more detail, please see below, and select the shipping option that is most convenient for you. Returns We have a 30 day return policy. The return must be postmarked within 30 days of the delivery date. Once the item has been returned, we will initiate an item-only refund (shipping costs are non-refundable). We do not provide return labels for general returns.

Price: 12.43 USD

Location: Columbia, Missouri

End Time: 2024-10-17T14:08:58.000Z

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

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

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

Number of Pages: 466 Pages

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

Language: English

Publisher: O'reilly Media, Incorporated

Item Height: 0.9 in

Publication Year: 2012

Subject: General, Data Processing, Databases / Data Mining, Programming Languages / Python

Type: Textbook

Item Weight: 27.4 Oz

Subject Area: Computers

Item Length: 9.2 in

Author: Wes Mckinney

Item Width: 7 in

Format: Trade Paperback

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