DuckDB Up and Running, Fast Data Analytics and Reporting, Wei-Meng Lee, 2025

DuckDB Up and Running, Fast Data Analytics and Reporting, Wei-Meng Lee, 2025.
    
   This book serves as a comprehensive guide to understanding and mastering DuckDB, providing readers with the knowledge and tools to harness its full potential in diverse applications. From the initial installation to advanced querying techniques, each chapter guides you through a well-structured learning path. The intent is to equip both beginners and experienced users with the skills necessary to leverage DuckDB effectively, whether for personal projects or within larger organizational frameworks.




Getting Started with DuckDB.
When it comes to data analytics, pandas is often the go-to library for many developers. Recently, Polars has emerged as a faster and more efficient alternative for handling DataFrames. However, despite the popularity of these libraries, SQL (Structured Query Language) remains the most widely recognized and used language among developers. If your data is stored in a database that supports SQL, using SQL to query and manipulate that data is often the most intuitive and effective approach.

While Python has become the dominant language in data science—particularly for working with data in tabular formats through DataFrame objects—SQL continues to be the universal language of data. Given that most developers are already comfortable with SQL, wouldn’t it be more efficient to use SQL directly for data manipulation?

Contents.
Preface.
Conventions Used in This Book.
Using Code Examples.
O'Reilly Online Learning.
How to Contact Us.
Acknowledgements.
1. Getting Started with DuckDB.
2. Importing Data into DuckDB.
3. A Primer on SQL.
4. Using DuckDB with Polars.
5. Performing EDA with DuckDB.
6. Using DuckDB with JSON Files.
7. Using DuckDB with JupySQL.
8. Accessing Remote Data Using DuckDB.
9. Using DuckDB in the Cloud with MotherDuck.
Index.
About the Author.



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