Jupyther notebooks are an excellent tool for exploring and presenting data processing.
Not limited to python only could be used even with SQL!
ipython-sql · PyPI
Jupyter Magics with SQL – Towards Data Science
import pandas as pd from sqlalchemy.engine import create_engine # Presto engine = create_engine('presto://localhost:8080/system/runtime') #Read Presto Data query into a DataFrame df = pd.read_sql('select * from queries limit 1', engine) df.head()