Description
Python for Data Analysis (2nd Edition) by Wes McKinney, the creator of the powerful pandas library, is one of the most authoritative books for learning data analysis using Python. This edition is fully updated for modern Python tools, covering Python 3.6+, recent pandas versions, and improved data handling techniques.
The book teaches how to clean, manipulate, transform, analyze, and visualize data using tools like pandas, NumPy, matplotlib, and IPython/Jupyter. With real-world datasets and hands-on examples, readers learn efficient data workflows used in analytics and data science.
Whether you’re a student, programmer, researcher, or data professional, this book provides the essential foundation for working with structured data in Python.
⭐ Key Features:
-
Written by Wes McKinney, the creator of pandas
-
Updated for modern Python 3, pandas 1.x, and NumPy
-
Covers data cleaning, wrangling, merging, reshaping, and visualization
-
Practical examples using real datasets
-
Introduction to IPython and Jupyter notebooks
-
Essential for data analysts, scientists, and Python learners
-
Step-by-step tutorials for efficient data workflows
-
Ideal for machine learning preprocessing and data preparation
