kedro-datasets-3.0.1

Bug fixes and other changes

• Removed arbitrary upper bound for s3fs.
• NetCDFDataset support for NetCDF4 via engine="netcdf4" and engine="h5netcdf"

Community contributions

Many thanks to the following Kedroids for contributing PRs to this release:

• Charles Guan

kedro-airflow-0.9.0

• Sort DAGs to make sure kedro airflow create is deterministic.
• Option to group MemoryDatasets in the same Airflow task (breaking change for custom template via --jinja-file).
• Include the environment name in the DAG file name when different from the default.
• Added support for Python 3.12

kedro-telemetry-0.4.0

• Updated the plugin to generate an unique UUID for each user of kedro-telemetry.
• Added support for Python 3.12.

kedro-docker-0.6.0

Major features and improvements

• Added support for Python 3.12

kedro-datasets-3.0.0

Major features and improvements

• Added the following new datasets:

Type	Description	Location
netcdf.NetCDFDataset	A dataset for loading and saving *.nc files.	kedro_datasets.netcdf
ibis.TableDataset	A dataset for loading and saving using Ibis's backends.	kedro_datasets.ibis

• Added support for Python 3.12.
• Normalised optional dependencies names for datasets to follow PEP 685. The . characters have been replaced with - in the optional dependencies names. Note that this might be breaking for some users. For example, users should now install optional dependencies for pandas.ParquetDataset from kedro-datasets like this:

pip install kedro-datasets[pandas-parquetdataset]

• Removed setup.py and move to pyproject.toml completely for kedro-datasets.

Bug fixes and other changes

• If using MSSQL, load_args:params will be typecasted as tuple.
• Fixed bug with loading datasets from Hugging Face. Now allows passing parameters to the load_dataset function.
• Made connection_args argument optional when calling create_connection() in sql_dataset.py.

Community contributions

Many thanks to the following Kedroids for contributing PRs to this release:

• Riley Brady
• Andrew Cao
• Eduardo Romero Lopez
• Jerome Asselin

kedro-telemetry-0.3.2

• Updated plugin to share if a project is being run in a ci environment.
• Updated plugin to share if example_pipeline option is selected during project creation.
• Fixed the masking of the commands when commands contain words from the Kedro vocabulary.

kedro-datasets-2.1.0

Major features and improvements

• Added MatlabDataset which uses scipy to save and load .mat files.
• Extend preview feature for matplotlib, plotly and tracking datasets.
• Allow additional parameters for sqlalchemy engine when using sql datasets.

Bug fixes and other changes

• Removed Windows specific conditions in pandas.HDFDataset extra dependencies

Community contributions

Many thanks to the following Kedroids for contributing PRs to this release:

• Samuel Lee SJ
• Felipe Monroy
• Manuel Spierenburg

kedro-docker-0.5.0

Major features and improvements

• Add compatibility with kedro 0.19

Breaking changes

• kedro-docker was updated to use the 0.19 version of the Kedro starters. If you need to use kedro-docker for an old project, you can either use an older version or move the requirements file up from src to the top-level project directory.

kedro-airflow-0.8.0

• Added support for Kedro 0.19.x

kedro-telemetry-0.3.1

• Fixed double execution of after_catalog_created hook by moving the logic of determining and sending of project statistics from after_context_created to the after_catalog_created hook.
• Updated the plugin to also share the tools selected during project creation with Heap.
• Loosen bound for Kedro to support >=0.18.0