Description: Product details Publisher : O'Reilly Media; 3rd edition (September 20, 2022) Language : English Paperback : 579 pages ISBN-10 : 109810403X ISBN-13 : 978-1098104030 Item Weight : 2.07 pounds Dimensions : 7 x 1.5 x 9 inches About the book: 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
Price: 36.87 USD
Location: DELHI, DELHI
End Time: 2024-12-20T11:04:49.000Z
Shipping Cost: 3.99 USD
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Subject Area: Soft Computing, Software Development
Publication Name: Python for Data Analysis : Data Wrangling with Pandas, NumPy
Item Length: 9.2in
Publisher: O'reilly Media, Incorporated
Subject: Computer Science
Publication Year: 2022
Type: Textbook
Format: Paperback, Trade Paperback
Language: English
Item Height: 1.2in
Author: Wes Mckinney
Educational Level: Adult & Further Education
Personalized: No
Level: Advanced, Proficiency
Country/Region of Manufacture: United States
Item Width: 7in
Item Weight: 36.3 Oz
Number of Pages: 579 Pages