Description: Book description Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language. Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It’s ideal for analysts new to Python and for Python programmers new to scientific computing. Use the IPython interactive shell as your primary development environment Learn basic and advanced NumPy (Numerical Python) features Get started with data analysis tools in the pandas library Use high-performance tools to load, clean, transform, merge, and reshape data Create scatter plots and static or interactive visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Measure data by points in time, whether it’s specific instances, fixed periods, or intervals Learn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples This textbook titled "Python for Data Analysis" by Wes McKinney is a comprehensive guide for data wrangling with Pandas and NumPy. The book, published by O'Reilly, Incorporated in 2012, is a valuable resource for anyone interested in the subject area of data analysis. The book is available in a trade paperback format and has 466 pages. It covers various aspects such as the publication year, type, subject area, language, author, publisher, item height, item length, item width, and number of pages. This textbook is an excellent addition to any textbook collection and is sure to be a valuable resource for anyone interested in data analysis.
Price: 14.99 USD
Location: Redford, Michigan
End Time: 2024-10-18T22:49:58.000Z
Shipping Cost: N/A 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
Publication Name: Na
Item Length: 9.2in.
Publisher: O'reilly, Incorporated
Subject: Text Book
Publication Year: 2012
Type: Textbook
Format: Trade Paperback
Language: English
Item Height: 0.9in.
Author: Wes Mckinney
Item Width: 7in.
Number of Pages: 466 Pages
