Duckdb: Up and Running

>

Author Wei-Meng Lee takes developers and data professionals through DuckDB's primary features and functions, best practices, and practical examples of how you can use DuckDB for a variety of data analytics tasks. You'll also dive into specific topics, including how to import data into DuckDB, work with tables, perform exploratory data analysis, visualize data, perform spatial analysis, and use DuckDB with JSON files, Polars, and JupySQL.

Understand the purpose of DuckDB and its main functions
• Conduct data analytics tasks using DuckDB
• Integrate DuckDB with pandas, Polars, and JupySQL
• Use DuckDB to query your data
• Perform spatial analytics using DuckDB's spatial extension
• Work with a diverse range of data including Parquet, CSV, and JSON