Hi @channel, we are excited to announce 📣 Kedro 0.19.10 release ! K 🚀 Major features and improvements • Add official support for Python 3.13. • Implemented dict-like interface for

KedroDataCatalog

. • Implemented lazy dataset initializing for

KedroDataCatalog

. • Project dependencies on both the default template and on starter templates are now explicitly declared on the

pyproject.toml

file, allowing Kedro projects to work with project management tools like

uv

,

pdm

, and

rye

. Note:

KedroDataCatalog

is an experimental feature and is under active development. Therefore, it is possible we’ll introduce breaking changes to this class, so be mindful of that if you decide to use it already. Let us know if you have any feedback about the

KedroDataCatalog

or ideas for new features. 🪲 Bug fixes and other changes • Added I/O support for Oracle Cloud Infrastructure (OCI) Object Storage filesystem. • Fixed

DatasetAlreadyExistsError

for

ThreadRunner

when Kedro project run and using runner separately. 📄 Documentation changes • Added Databricks Asset Bundles deployment guide. • Added a new minimal Kedro project creation guide. • Added example to explain how dataset factories work. • Updated CLI autocompletion docs with new Click syntax. • Standardised

.parquet

suffix in docs and tests. Read the complete release notes for kedro on GitHub. Thanks a lot to our community contributors ✨ - • @G. D. McBain • Greg Vaslowski • Hyewon Choi • @Pedro Antonacio 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 💛