more releases this week! 🔥 K kedro-datasets 1.8 • Moved

PartitionedDataSet

and

IncrementalDataSet

from the core Kedro repo to

kedro-datasets

and renamed to

PartitionedDataset

and

IncrementalDataset

. • Added

polars.LazyPolarsDataset

, a

GenericDataSet

using Polars's lazy API. • Renamed

polars.GenericDataSet

to

polars.EagerPolarsDataset

to better reflect the difference between the two dataset classes. • Added a deprecation warning when using

polars.GenericDataSet

or

polars.GenericDataset

that these have been renamed to

polars.EagerPolarsDataset

• Delayed backend connection for

pandas.SQLTableDataset

,

pandas.SQLQueryDataset

, and

snowflake.SnowparkTableDataset

. In practice, this means that a dataset's connection details aren't used (or validated) until the dataset is accessed. On the plus side, the cost of connection isn't incurred regardless of when or whether the dataset is used. A kedro-airflow 0.7 • Added support for Python 3.11. • Added the

--all

CLI argument to

kedro-airflow

to convert registered all pipelines at once. • Simplify the output of the

kedro airflow create

command. • Fixed compatibility of

kedro-airflow

with older versions of the config loaders (

kedro<=0.18.2

). • Removed support for Python 3.7. docker kedro-docker 0.4 • Added support for Python 3.11. • Removed support for Python 3.7. 📡 kedro-telemetry 0.3 • Added support for Python 3.11. • Removed support for Python 3.7. many thanks to our community contributors Peter Bludau, Alistair McKelvie, @H. Felix Wittmann, @Matthias Roels, and Simon Brugman 👏🏼 python notice that we dropped Python 3.7 and added support for Python 3.11 across the board. going forward, for kedro-datasets we will follow NEP 29 (hence a 42 month support window - Python 3.8 will be dropped soon!) and for kedro framework and the other official plugins we will drop Python versions that reach their end-of-life status without making a major release. (And yes, Python 3.12 is coming soon!) Until next time, The Kedro Team 💛