Notebook tutors for data science

Watch your code transform data, step by step.

Write code in notebook cells, run them, and step through every operation as before-and-after tables. Python runs right in your browser.

Try the datascience tutor See all tutors

chocolate = cones.where('Flavor', 'chocolate')

chocolate = where()

cones
Flavor	Color	Price
strawberry	pink	3.55
chocolate	light brown	4.75
vanilla	white	4.25
chocolate	dark brown	5.25
strawberry	pink	3.95
mint	green	4.50

chocolate
Flavor	Color	Price
chocolate	light brown	4.75
chocolate	dark brown	5.25

where keeps the rows whose Flavor is chocolate.

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Each tutor runs the same notebook, with its own library. Here's the same filter in all four.

Python datascience Data 8's Table library cones.where('Flavor', 'chocolate') Open
Python pandas DataFrames cones[cones['Flavor'] == 'chocolate'] Coming soon
Python polars DataFrames and lazy queries cones.filter( pl.col('Flavor') == 'chocolate' ) Coming soon
SQL SQL Queries on DuckDB SELECT * FROM cones WHERE Flavor = 'chocolate' Coming soon

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Cells share stateLoad a table in one cell and reshape it over the next five, like Jupyter.
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