Python for Data Analysis Data Wrangling with pandas, NumPy, and Jupyter 3rd Edition by Wes McKinney

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Author
O'Reilly Media
Edition
3rd
Publisher
O'Reilly Media
Pages
579 pages
ISBN
978-1098104030
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Description

Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
author: Wes McKinney (Author)
edition: 3rd
language: English
publisher: O’Reilly Media
dimensions: 7.5 x 0.96 x 9.25 inches
isbn-10: 1491957663
isbn-13: 978-1491957660
publication date: September 20, 2021
print length: 528 pages

Discover the power of Python for data analysis with this comprehensive guide. This third edition offers in-depth coverage of pandas and NumPy libraries, along with practical Jupyter notebook examples to help you manipulate, clean, process, and visualize complex datasets efficiently.

Key Features:
– Master advanced techniques using pandas and NumPy
– Learn best practices for data wrangling and cleaning
– Explore powerful visualization methods with Matplotlib and Seaborn
– Enhance your data analysis skills with real-world case studies

Benefits:
– Perfect for both beginners and experienced Python users
– Comprehensive coverage of the latest version of pandas and NumPy
– Ideal for professionals, students, and researchers in data science and analytics