Hi @channel, we are excited to announce that 📣 Kedro 0.19.4 and kedro-datasets 3.0.0 are available! K 🚀 Major features and improvements • Added two new datasets:

netcdf.NetCDFDataset

and

ibis.TableDataset

• Added

Python 3.12

support for kedro-datasets • Kedro commands now work from any subdirectory within a Kedro project. • Dropped the dependency on

toposort

in favour of the built-in

graphlib

module. • Added the

--telemetry

flag to

kedro new

, allowing the user to register consent to have user analytics collected at the same time as the project is created. • Improved the performance of

Pipeline

object creation and summing. 🪲 Bug fixes and other changes • Fixed bug with loading datasets from Hugging Face. Now allows passing parameters to the load_dataset function. • Updated

kedro pipeline create

and

kedro pipeline delete

to read the base environment from the project settings. • Updated CLI command

kedro catalog resolve

to read credentials properly. • Updated

.gitignore

to prevent pushing Mlflow local runs folder to a remote forge when using mlflow and git. • Fixed error handling message for malformed yaml/json files in OmegaConfigLoader. • Fixed a bug in

node

-creation allowing self-dependencies when using transcoding, that is datasets named like

name@format

💥 Breaking changes to the API • Methods

_is_project

and

_find_kedro_project

have been moved to

kedro.utils

✍🏼 Documentation changes • Added documentation on best practices for testing nodes and pipelines. • Clarified docs around using custom resolvers without a full Kedro project. Read the complete release notes for kedro and kedro-datasets on GitHub. Thanks a lot to our community contributors @Ondrej Zacha, @Puneet Saini, @Riley Brady, Andrew Cao, @Eduardo Romero López and Jerome Asselin ✨ We welcome every community contribution, large or small. See what we're working on now and report bugs or suggest future features. Until next time, The Kedro Team 💛