• Title: Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
• Author(s) Wes McKinney
• Publisher: O'Reilly Media; 3rd edition (September 20, 2022); eBook (Open Edition)
• Paperback: 548 pages
• eBook: HTML and PDF
• Language: English
• ISBN-10: 1491912057
• ISBN-13: 978-1491912058
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Book Description

The focus of the book is specifically on Python programming, libraries, and tools as opposed to data analysis methodology. This is the Python programming you need for data analysis. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.

• Wes McKinney is an American software developer and entrepreneur. He's now an active member of the Python data community and is an advocate for the use of Python in data analysis, finance, and statistical computing applications.

• Amazon

• Python Programming
• Data Analysis and Data Mining
• Data Science
• Big Data
• Machine Learning
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