pandasql

Allows users to write SQL queries directly on pandas DataFrames, leveraging existing SQL knowledge for data manipulation, as demonstrated in the README with examples like joins and aggregations.

Automatically detects DataFrames in the environment as queryable tables, simplifying setup without manual table definitions, as shown in the helper function pysqldf.

Supports standard SQL operations including joins, aggregations, and grouping using SQLite syntax, enabling complex data transformations without learning pandas methods.

Includes a lambda helper (pysqldf) that streamlines query execution by automatically passing environment variables, reducing boilerplate code for repeated queries.