Hi we are thrilled to announce some new releases

Question

Hi < channel> we are thrilled to announce some new releases mega Kedro `0 18 12` is now available kedro and so are kedro datasets `1 5 1` amp kedro airflow `0 6 0` mega gt TLDR In the new release of Kedro we introduce the dataset factories feature activated all built in resolvers by default for OmegaConfigLoader except for oc env and added a new CLI command to rank dataset factories We made some important bug fixes and updated the documentation notably recommending ruff as the linter See the thread for details of each release We welcome every community contribution large or small See and Until next time The Kedro Team yellow heart

Ankita Katiyar · Answer

kedro Kedro `0 18 2` is out now kedro Kedro 0 18 12 is a non breaking release in the 0 18 x series which means you can upgrade with `pip install kedro==0 18 12` or `conda mamba micromamba install c conda forge kedro=0 18 12` rocket Major Features and improvements Added dataset factories feature which uses pattern matching to reduce the number of catalog entries Check out on how to use it Activated all built in resolvers by default for `OmegaConfigLoader` except for `oc env` Introduced a new CLI command `kedro catalog rank` that ranks dataset factories in the catalog by their matching priority beetle Bug fixes and other changes Consolidated dependencies and optional dependencies in `pyproject toml` Made validation of unique node outputs much faster Updated `kedro catalog list` to show datasets generated with factories writing hand Documentation changes Recommended ruff as the linter and removed mentions of `pylint` `isort` `flake8` warning Upcoming deprecations `ConfigLoader` and `TemplatedConfigLoader` will be deprecated in Kedro 0 19 0 Please use `OmegaConfigLoader` instead love letter Community contributions A big thank you to < Laiza Milena Scheid Parizotto> and < Chris Schopp> for their contributions to Kedro

Ankita Katiyar · Answer

kedro kedro datasets `1 5 1` is out now kedro rocket What s new in `kedro datasets` Implemented lazy loading of dataset subpackages and classes and improved error messages for missing dataset dependencies Added `pandas DeltaTableDataSet` Added automatic inference of file format for `pillow ImageDataSet` to be passed to `save ` love letter Community contributions A big thank you to < Kyle Chung> and < Afaque Ahmad> for their contributions to `kedro datasets`

Ankita Katiyar · Answer

kedro kedro airflow `0 6 0` is out now kedro rocket What s new in `kedro airflow` Added option to configure DAG kwargs using `airflow yml` Included help for CLI arguments see `kedro airflow create help` Added additional CLI argument ` params` to pass configuration to the Jinja2 template Migrated all the project metadata to static `pyproject toml` love letter Community contributions A big thank you to <https github com sbrugman| sbrugman> for their contributions to `kedro airflow`

Merel · Answer

FYI < Ben Levy> < Julian Waton> < Tom Taylor Vigrass> < Ian Whalen> < Ivan Doroshenko> < Matthias Roels> < Jose Nuñez> < Giuseppe Ughi> < marrrcin> thanks all for participating in the dataset factories research The feature is now released so let us know what you think smile