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#announcements
Title
# announcements
j

Juan Luis

10/19/2023, 11:19 AM
Hi <!channel>, we are excited to announce that 📣 Kedro
0.18.14
is available! K > TLDR: In this new release of Kedro we added support to customise the pipeline directory structure and overriding the configuration keys, made substantial improvements to the documentation (including a page on how to use Kedro from Jupyter notebooks), and squashed a number of bugs. We had a record number of community contributions thanks to Hacktoberfest. Preparations for 0.19.0 are underway! Kedro 0.18.14 is the last non-breaking release in the 0.18.x series, which means you can upgrade with:
pip install kedro==0.18.14
or
conda/mamba/micromamba install -c conda-forge kedro=0.18.14
🚀 Major Features and improvements • Allowed using of custom cookiecutter templates for creating pipelines with
--template
flag for
kedro pipeline create
or via
template/pipeline
folder. • Allowed overriding of configuration keys with runtime parameters using the
runtime_params
resolver with
OmegaConfigLoader
. 🪲 Bug fixes and other changes • Updated dataset factories to resolve nested catalog config properly. • Made
settings.py
optional. ✍️ Documentation changes • Added a Jupyter notebook example for spaceflights to illustrate how to incrementally add Kedro features. • Added new documentation about deploying a Kedro project with Amazon EMR Serverless. • Added new documentation about how to publish a Kedro-Viz project to make it shareable. • New TSC members added to the page and the organisation of each member is also now listed. ⚠️ Upcoming deprecations • Remember, all dataset classes will be removed from the core Kedro repository (
kedro.extras.datasets
). Install and import them from the
kedro-datasets
package instead. • All dataset classes ending with
DataSet
are deprecated and will be removed in Kedro
0.19.0
and
kedro-datasets
2.0.0
. Instead, use the updated class names ending with
Dataset
. • The starters
pandas-iris
,
pyspark-iris
,
pyspark
, and
standalone-datacatalog
are deprecated and will be archived in Kedro 0.19.0. •
PartitionedDataset
and
IncrementalDataset
have been moved to
kedro-datasets
and will be removed in Kedro
0.19.0
. Install and import them from the
kedro-datasets
package instead. kedroid hacktoberfest2023 Community contributions This release received the largest number of community contributions ever, thanks in large part to Hacktoberfest. A million thanks to @Laiza Milena Scheid Parizotto , @Miguel Angel Ortiz Marin, @R.X.M, @Iñigo Hidalgo, @Harmony, @Celsuss, and the rest of the contributors who aren't on this Slack for submitting PRs to this release! 🚨 This will (hopefully) be the last release in the 0.18.x line, next one will be 0.19.0. Stay tuned! Read the complete release notes on https://github.com/kedro-org/kedro/blob/main/RELEASE.md#release-01814 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 💛
🥳 18
kedroid hacktoberfest2023 11
🎉 14
K 20
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