Hi <!channel>, we are excited to announce several releases today! 📣 Kedro 0.19.3, kedro-datasets 2.1.0 and kedro-telemetry 0.3.2 are available! K 🚀 Major features and improvements • New

%load_node

magic to load and debug nodes, compatible with IPython, Jupyter, VSCode, and Databricks We’ve listened to lots of you talk about how central Notebooks📓 are for your Kedro workflow. This release we’ve been hard at work making @Nok Lam Chan’s experiment posted a couple weeks ago on #user-research a reality! you can now prototype Kedro nodes faster in the notebook platform of your choice! We’ve tested this on 🧱 , vscode and jupyter so let us know what you think and how you’d like this feature to grow in the future. To try it out, run

pip install kedro[jupyter]

and follow our documentation. Also: • New

MatlabDataset

which uses SciPy to load and save

.mat

files • Preview functionality for matplotlib, Plotly, and tracking datasets • Allow additional parameters for sqlalchemy engine when using sql datasets. 🪲 Bug fixes and other changes •

kedro catalog resolve

now works with dataset factories that use

PartitionedDataset

• Updated JSON Schema for Kedro 0.19 • Simplified installation of

pandas

datasets on Windows and macOS ✍🏼 Documentation changes • Improved and fixed documentation around the data collected by

kedro-telemetry

https://docs.kedro.org/en/stable/configuration/telemetry.html Read the complete release notes for kedro, kedro-datasets, and kedro-telemetry on GitHub Thanks a lot to our community contributors @Manuel Spierenburg, @Felipe Monroy, @Samuel Lee SJ, @Fazil B. Topal, and

MosaicMan

✨ 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 💛