kedro-org/kedro 0.15.4 on GitHub

kedro jupyter now gives the default kernel a sensible name.
Pipeline.name has been deprecated in favour of Pipeline.tags.
Reuse pipelines within a Kedro project using Pipeline.transform, it simplifies dataset and node renaming.
Added Jupyter Notebook line magic (%run_viz) to run kedro viz in a Notebook cell (requires kedro-viz version 3.0.0 or later).
Added the following datasets:
- NetworkXLocalDataSet in kedro.contrib.io.networkx to load and save local graphs (JSON format) via NetworkX. (by @josephhaaga)
- SparkHiveDataSet in kedro.contrib.io.pyspark.SparkHiveDataSet allowing usage of Spark and insert/upsert on non-transactional Hive tables.
kedro.contrib.config.TemplatedConfigLoader now supports name/dict key templating and default values.

get_last_load_version() method for versioned datasets now returns exact last load version if the dataset has been loaded at least once and None otherwise.
Fixed a bug in _exists method for versioned SparkDataSet.
Enabled the customisation of the ExcelWriter in ExcelLocalDataSet by specifying options under writer key in save_args.
Fixed a bug in IPython startup script, attempting to load context from the incorrect location.
Removed capping the length of a dataset's string representation.
Fixed kedro install command failing on Windows if src/requirements.txt contains a different version of Kedro.
Enabled passing a single tag into a node or a pipeline without having to wrap it in a list (i.e. tags="my_tag").

Removed _check_paths_consistency() method from AbstractVersionedDataSet. Version consistency check is now done in AbstractVersionedDataSet.save(). Custom versioned datasets should modify save() method implementation accordingly.