K Hi @here This is a quick announcement that Kedro **0.18.3 is out! K

TLDR: In this release, we introduce a new autodiscovery project pipelines feature, improved the IPython experience with an alias, and

%reload_kedro

now accepts keywords arguments. There are couple of fixes to make Rich’s log less verbose and work better with Databricks.

Kedro 0.18.3 is a non-breaking release in the 0.18.x series, which means you can upgrade with:

pip install kedro==0.18.3

or

conda install -c conda-forge kedro==0.18.3

🚀 Major Features/Changes • [NEW] - autodiscovery of project pipelines. See our documentation for more details. • The Kedro IPython extension should now be loaded with

%load_ext kedro.ipython

. • The line magic

%reload_kedro

now accepts keywords arguments, e.g.

%reload_kedro --env=prod

. • Improved resume pipeline suggestion for

SequentialRunner

, it will backtrack the closest persisted inputs to resume. 🪲 Bug fixes and other changes • Changed default

False

value for rich logging

show_locals

, to make sure credentials and other sensitive data isn’t shown in logs. • Rich traceback handling is disabled on Databricks so that exceptions now halt execution as expected. • When using

kedro run -n [some_node]

, if

some_node

is missing a namespace the resulting error message will suggest the correct node name. • The Kedro IPython extension now surfaces errors when it cannot load a Kedro project. • And more … You can find the full list of changes in the release notes: https://github.com/kedro-org/kedro/releases/tag/0.18.3