0.15.2

Major features and improvements

• Added --load-version, a kedro run argument that allows you run the pipeline with a particular load version of a dataset.
• Support for modular pipelines in src/, break the pipeline into isolated parts with reusability in mind.
• Support for multiple pipelines, an ability to have multiple entry point pipelines and choose one with kedro run --pipeline NAME.
• Added a MatplotlibWriter dataset in contrib for saving Matplotlib images.
• An ability to template/parameterize configuration files with kedro.contrib.config.TemplatedConfigLoader.
• Parameters are exposed as a context property for ease of access in iPython / Jupyter Notebooks with context.params.
• Added max_workers parameter for ParallelRunner.

Bug fixes and other changes

• Users will override the _get_pipeline abstract method in ProjectContext(KedroContext) in run.py rather than the pipeline abstract property. The pipeline property is not abstract anymore.
• Improved an error message when versioned local dataset is saved and unversioned path already exists.
• Added catalog global variable to 00-kedro-init.py, allowing you to load datasets with catalog.load().
• Enabled tuples to be returned from a node.
• Disallowed the ConfigLoader loading the same file more than once, and deduplicated the conf_paths passed in.
• Added a --open flag to kedro build-docs that opens the documentation on build.
• Updated the Pipeline representation to include name of the pipeline, also making it readable as a context property.
• kedro.contrib.io.pyspark.SparkDataSet and kedro.contrib.io.azure.CSVBlobDataSet now support versioning.

Breaking changes to the API

• KedroContext.run() no longer accepts catalog and pipeline arguments.
• node.inputs now returns the node's inputs in the order required to bind them properly to the node's function.

Thanks for supporting contributions

Deepyaman Datta, Luciano Issoe, Joost Duisters, Zain Patel, William Ashford, Karlson Lee