Python for Data Analysis: Data Wrangling with pandas, NumPy & Jupyter

Description

Python for Data Analysis: Data Wrangling with pandas, NumPy & Jupyter is a practical guide to data analysis using Python, written by the creator of the pandas library. The book focuses on the complete data analysis workflow, emphasizing techniques for importing, cleaning, transforming, reshaping, combining, and exploring structured datasets before performing meaningful analysis. Through practical examples and real datasets, it demonstrates how pandas, NumPy, and Jupyter can be used together to efficiently manage and analyze data, making it an essential resource for students, analysts, data scientists, and Python developers.