Description: Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython, 2nd Edition PRODUCT FEATURES 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 Jupiter 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 Jupiter 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 group by 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
Price: 39.99 USD
Location: Kansas City, Missouri
End Time: 2024-08-26T13:52:54.000Z
Shipping Cost: 0 USD
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Item Specifics
Return shipping will be paid by: Seller
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Subject Area: Data Analysis
Item Length: 9.2in.
Item Height: 1.3in.
Item Width: 7in.
Author: William Mckinney
Publication Name: Python for Data Analysis : Data Wrangling with Pandas, Numpy, and Ipython
Format: Trade Paperback
Language: English
Publisher: O'reilly, Incorporated
Publication Year: 2017
Type: Textbook
Item Weight: 33.2 Oz
Number of Pages: 547 Pages
