Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
by Wes Mckinney
Learn to wrangle, analyze, and visualize data using Python, pandas, NumPy, and Jupyter in this practical guide for data practitioners.
About This Book
Python for Data Analysis focuses on essential tools and techniques for working with data in Python.
Readers learn how to use pandas and NumPy to manipulate, clean, and analyze datasets efficiently.
The book also covers the use of Jupyter notebooks for interactive data exploration and reporting.
Content is structured to help users develop reproducible workflows for real-world data tasks.
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