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Kedro v0.16.6 Release Notes

Release Date: 2020-10-23 // almost 3 years ago

  • Major features and improvements

    • ➕ Added documentation with a focus on single machine and distributed environment deployment; the series includes Docker, Argo, Prefect, Kubeflow, AWS Batch, AWS Sagemaker and extends our section on Databricks
    • ➕ Added kedro-starter-spaceflights alias for generating a project: kedro new --starter spaceflights.

    🐛 Bug fixes and other changes

    • 🛠 Fixed TypeError when converting dict inputs to a node made from a wrapped partial function.
    • PartitionedDataSet improvements:
      • Supported passing arguments to the underlying filesystem.
    • 👌 Improved handling of non-ASCII word characters in dataset names.
      • For example, a dataset named jalapeño will be accessible as DataCatalog.datasets.jalapeño rather than DataCatalog.datasets.jalape__o.
    • 🛠 Fixed kedro install for an Anaconda environment defined in environment.yml.
    • 🛠 Fixed backwards compatibility with templates generated with older Kedro versions <0.16.5. No longer need to update .kedro.yml to use kedro lint and kedro jupyter notebook convert.
    • 👌 Improved documentation.
    • ➕ Added documentation using MinIO with Kedro.
    • 👌 Improved error messages for incorrect parameters passed into a node.
    • 🛠 Fixed issue with saving a TensorFlowModelDataset in the HDF5 format with versioning enabled.
    • Added missing run_result argument in after_pipeline_run Hooks spec.
    • 🛠 Fixed a bug in IPython script that was causing context hooks to be registered twice. To apply this fix to a project generated with an older Kedro version, apply the same changes made in this PR to your 00-kedro-init.py file.

    👍 Thanks for supporting contributions

    Deepyaman Datta, Bhavya Merchant, Lovkush Agarwal, Varun Krishna S, Sebastian Bertoli, noklam, Daniel Petti, Waylon Walker


Previous changes from v0.16.5

  • 🚀 Release 0.16.5