Exactly. In my DuckDB workflow I use Pandas data frames and DuckDB queries interchangeably. import duckdb as db import pandas as pd df = pd.read_excel(

Exactly. In my DuckDB workflow I use Pandas data frames and DuckDB queries interchangeably. import duckdb as db import pandas as pd df = pd.read_excel(“z.xlsx”) df2 = db.query(“select * from df join ‘s3://bucket/a.parquet’ b on df.col b.col”).df() df3 = df2.col.apply(lambda x: x) DuckDB can refer any Pandas data frame in the namespace as a SQL object. You can query across Parquet, CSV and Pandas data frames seamlessly. Need to join Excel with Parquet with CSV? No problem. You can do it all within DuckDB.