Description: This textbook, titled by Wes McKinney, is a comprehensive guide for those interested in data analysis using Python. It covers topics such as data manipulation, cleaning, and visualization using various libraries like Pandas and NumPy. The book includes 466 pages of detailed explanations, examples, and exercises to help readers master the concepts. The book is in trade paperback format with dimensions of 9.2 inches in length, 7 inches in width, and 0.9 inches in height. It weighs 27.4 oz and was published in 2012 by O'Reilly Media, Incorporated. The book is written in English and is classified as a textbook. It is perfect for students, researchers, and professionals who are interested in learning data analysis with Python.
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Location: Milwaukee, Wisconsin
End Time: 2024-09-03T01:39:33.000Z
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All returns accepted: ReturnsNotAccepted
Subject Area: Data Analysis
Item Length: 9.2in
Item Height: 0.9in
Item Width: 7in
Author: Wes Mckinney
Publication Name: Python for Data Analysis : Data Wrangling with Pandas, Numpy, and Ipython
Format: Trade Paperback
Language: English
Publisher: O'reilly Media, Incorporated
Publication Year: 2012
Type: Textbook
Item Weight: 27.4 Oz
Number of Pages: 466 Pages