Description: Title: Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Jupyter Author: McKinney, Wes Publisher: O'Reilly Media Binding: Paperback Pages: 579 Dimensions: 6.90h x 9.10w x 1.20d Product Weight: 2.07 lbs. Language: English ISBN: 9781098104030 Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third 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, and Jupyter 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 Jupyter notebook and IPython shell for exploratory computing Learn basic and advanced features in NumPy 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 groupby 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 Ships Fast From The USA! Authorized Dealer
Price: 80.74 USD
Location: La Vergne, Tennessee
End Time: 2024-09-23T19:36:24.000Z
Shipping Cost: 9.95 USD
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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: O'Reilly Media
Number of Pages: 579 Pages
Language: English
Publication Name: Python for Data Analysis : Data Wrangling with Pandas, Numpy, and Jupyter
Publisher: O'reilly Media, Incorporated
Item Height: 1.2 in
Publication Year: 2022
Subject: Data Visualization, Data Processing, Databases / Data Mining, Programming Languages / Python
Item Weight: 36.3 Oz
Type: Textbook
Author: Wes Mckinney
Item Length: 9.2 in
Subject Area: Computers
Item Width: 7 in
Format: Trade Paperback
