Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Implemented IPython and Jupyter key completions for accessing datasets in the catalog. The solution is based on defining _ipython_key_completions_() for _FrozenDatasets class.
Original names (with non-word characters) are suggested as keys but those that are replaced with __ (as for properties) are accepted as well.
Manually tested with transcoded datasets and configuration patterns.
If your PR is blocked due to unsigned commits, then you must follow the instructions under "Rebase the branch" on the GitHub Checks page for your PR. This will retroactively add the sign-off to all unsigned commits and allow the DCO check to pass.
Description
Solves https://github.com/kedro-org/kedro/issues/3914
Development notes
IPython
andJupyter
key completions for accessing datasets in the catalog. The solution is based on defining_ipython_key_completions_()
for_FrozenDatasets
class.__
(as for properties) are accepted as well.Developer Certificate of Origin
We need all contributions to comply with the Developer Certificate of Origin (DCO). All commits must be signed off by including a
Signed-off-by
line in the commit message. See our wiki for guidance.If your PR is blocked due to unsigned commits, then you must follow the instructions under "Rebase the branch" on the GitHub Checks page for your PR. This will retroactively add the sign-off to all unsigned commits and allow the DCO check to pass.
Checklist
RELEASE.md
file