Hi @channel, we are excited to announce several releases today! 📣 Kedro 0.19.6, kedro-datasets 3.0.1 and kedro-telemetry 0.4.0 are available! K 🚀 Major features and improvements • Added

raise_errors

argument to

find_pipelines

. If

True

, the first pipeline for which autodiscovery fails will cause an error to be raised. The default behaviour is still to raise a warning for each failing pipeline. • It is now possible to use Kedro without having

rich

installed. • Updated custom logging behavior:

conf/logging.yml

will be used if it exists and

KEDRO_LOGGING_CONFIG

is not set; otherwise,

default_logging.yml

will be used. • Updated the

kedro-telemetry

to generate a unique UUID for each user and added support for python 3.12. 🪲 Bug fixes and other changes • User defined catch-all dataset factory patterns now override the default pattern provided by the runner. • Removed arbitrary upper bound for

s3fs

in

kedro-datasets

. •

NetCDFDataset

support for NetCDF4 via

engine="netcdf4"

and

engine="h5netcdf"

💥 Upcoming deprecations for Kedro 0.20.0 • All micro-packaging commands (

kedro micropkg pull

,

kedro micropkg package

) are deprecated and will be removed in Kedro 0.20.0. If you are an active user and are impacted by this deprecation, please leave a comment here explaining your use case. ✍🏼 Documentation changes • Improved documentation for custom starters • Added a new docs section on deploying Kedro project on AWS Airflow MWAA • Detailed instructions on using

globals

and

runtime_params

with the

OmegaConfigLoader

Read the complete release notes for kedro, kedro-datasets, and kedro-telemetry on GitHub Thanks a lot to our community contributors @Dominik Zalewski, cleeks and @Charles Guan ✨ 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 💛