Python for Data Analysis

Key Features

• Practical guide to data analysis using Python and popular libraries
• Covers pandas, NumPy, and Jupyter for efficient data manipulation
• Includes real-world examples for data cleaning, transformation, and visualization
• Ideal for beginners, analysts, and data science professionals

Book Description

This book provides a hands-on introduction to data analysis using Python, focusing on powerful libraries like pandas and NumPy. It teaches how to clean, transform, and analyze large datasets efficiently.

The content is designed to bridge theory and practice, offering real-world examples and workflows commonly used in data science. It helps readers understand how to work with structured data and perform meaningful analysis.

Written by the creator of pandas, the book ensures authoritative insights and best practices in data handling. It is widely used by students and professionals to build strong data analysis skills.

Overall, this book is an essential resource for anyone looking to master data wrangling and analysis using Python.

Product Details

• Title: Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
• Author: Wes McKinney
• Publisher: O’Reilly Media
• Language: English
• Binding: Paperback
• Number of Pages: 544 pages
• ISBN-10: 109810403X
• ISBN-13: 978-1098104030
• Publisher Date: 2022 (3rd Edition)
• Weight: 1.9 pounds

Physical Specifications

• Height: 9.20 inches
• Width: 7.00 inches
• Spine Width: 1.20 inches