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Deep Analysis with Pandas
Transforming and Visualizing Data for Insights
This book is 100% completeLast updated on 2026-10-02
Learn pandas, the most widely used data analysis library.
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About
About the Book
As data grows in size and complexity, efficient tools are essential. Pandas 3 introduces major performance enhancements that make Python's most popular DataFrame library faster than ever. This book shows you how to harness those improvements while mastering the core techniques needed to clean, transform, visualize, and analyze data, from small datasets to millions of rows.
Ideal for programmers, data analysts, data scientists, data engineers, and analytics engineers, this guide combines real-world datasets with practical best practices to help you build reliable, reproducible, and insightful analytical workflows.
With clear explanations, diagrams, and tables, you'll quickly learn how to work with:
- Series and DataFrames
- Method chaining
- Grouping and aggregation
- Merging and pivoting
- Plotting and visualization
- And more
Author
About the Author
Joram Mutenge
Joram Mutenge has analyzed data across industries including manufacturing, cybersecurity, and consumer services. Known for translating complex data into clear insights, he has helped organizations make confident, data-driven decisions. He has used pandas in production since 2020.
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