https://docs.kedro.org/en/stable/notebooks_and_ipython/kedro_and_notebooks.html The

catalog

don't show up magically, behind the scene it's a IPython extension that push that variable to the notebook. So the solution is either you start a notebook with

kedro jupyter notebook

that register this for you. Or if you are just openning a notebook on instance that you cannot control, use

%load_ext kedro.ipython

.

The

kedro jupyter notebook

command launches a notebook with a customised kernel that has been extended to make the following project variables available:

•

catalog

(type

DataCatalog

): Data Catalog instance that contains all defined datasets; this is a shortcut for

context.catalog

•

context

(type

KedroContext

): Kedro project context that provides access to Kedro’s library components

•

pipelines

(type

dict[str, Pipeline]

): Pipelines defined in your pipeline registry

•

session

(type

KedroSession

): Kedro session that orchestrates a pipeline run