Working with GlareDB in Python

GlareDB is a SQL database that integrates with various data sources without requiring data movement, allowing users to perform analytics across systems using SQL commands. Since version 0.2.0, it has included Python bindings, enabling efficient SQL transformations on Polars and Pandas data frames. Users can connect to in-process databases or persistent storage and utilize SQL to directly query data frames, returning results as new Pandas data frames. GlareDB supports incremental query building by storing logical plans before execution, allowing for complex and modular query development. It also facilitates seamless integration with external databases like Postgres, enabling users to join data from disparate sources, such as enriching local data frames with external data through SQL joins. By providing a flexible and powerful framework for data analysis and transformation, GlareDB enhances the ability to execute complex SQL operations within Python scripts, supporting a wide range of data sources, including Snowflake and others, via straightforward SQL commands.