Here we provided short examples of various uses of the Data Prep Kit.
- Notebooks
- Example data processing pipelines - Use these to quickly process your data. A notebook structure allows a user to select/de-select transforms and change the order of processing as desired.
- Command line
- Using a docker image - runs a transform in a docker transform image
- Using a virtual environment - runs a transform on the local host
- Outside of the repository - shows how to use pypi dependencies to create a transform independent of this repository.
- Adding to this repository - shows how to add a transform to this repository, including repository conventions and ci/cd.