Kedro is an open-sourced Python framework for creating maintainable and modular data science code.

Kedro

I am reading this advanced tutorial: <https://docs.kedro.org/en/stable/data/advanced_data_catalog_usage.html>

It seems more like it is defining a new catalog at run time rather than loading an existing one. Is there a supported way to simply load from an existing catalog file or set of catalog files into a script (not a Jupyter notebook)?

If you are running programmatically, hook is the way. The docs is more for a standalone use case where you are not running a pipeline

Sure. I want develop scripts that I can run outside of the Kedro pipeline(s) but can load datasets from the kedro catalog. I want these to be ordinary scripts, not notebooks.

It is a two steps process, i think it is in the docs somewhere but i have poor network now

Essentially you create a config loader to load the config as the first step

Second step is DataCatalog.from_config(config)

I'll see if I can put those two steps together.

<https://github.com/kedro-org/kedro/issues/2924#issuecomment-1690280993>

This is the example

If this is somehow not in any docs, please raise an issue.

I am back to work next week and I will look into it

Sounds good. I really appreciate your help in pointing me to this info.

<@U03RJ2PH79D> Your second link is exactly what I wanted. Thank you again.