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Python for Data Analysis : Data Wrangling with Pandas, NumPy, and Jupyter by Wes

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

Product Images

Python for Data Analysis : Data Wrangling with Pandas, NumPy, and Jupyter by WesPython for Data Analysis : Data Wrangling with Pandas, NumPy, and Jupyter by WesPython for Data Analysis : Data Wrangling with Pandas, NumPy, and Jupyter by WesPython for Data Analysis : Data Wrangling with Pandas, NumPy, and Jupyter by Wes

Item Specifics

Return shipping will be paid by: Seller

All returns accepted: Returns Accepted

Item must be returned within: 14 Days

Refund will be given as: Money Back

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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

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