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RELEASE.md

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Release 0.15.0

Major features and improvements

  • Added KedroContext base class which holds the configuration and Kedro's main functionality (catalog, pipeline, config).

Bug fixes and other changes

  • Documentation improvements

Breaking changes to the API

Thanks for supporting contributions

Kiyohito Kunii, Dmitry Vukolov, Jo Stichbury, Angus Williams

Release 0.14.3

Major features and improvements

  • Tab completion for catalog datasets in ipython or jupyter sessions. (Thank you @datajoely and @WaylonWalker)
  • Added support for transcoding, an ability to decouple loading/saving mechanisms of a dataset from its storage location, denoted by adding '@' to the dataset name.
  • Datasets have a new release function that instructs them to free any cached data. The runners will call this when the dataset is no longer needed downstream.

Bug fixes and other changes

  • Add support for pipeline nodes made up from partial functions.
  • Expand user home directory ~ for TextLocalDataSet (see issue #19).
  • Add a short_name property to Nodes for a display-friendly (but not necessarily unique) name.
  • Add Kedro project loader for IPython: extras/kedro_project_loader.py.
  • Fix source file encoding issues with Python 3.5 on Windows.
  • Fix local project source not having priority over the same source installed as a package, leading to local updates not being recognised.

Breaking changes to the API

  • Remove the max_loads argument from the MemoryDataSet constructor and from the AbstractRunner.create_default_data_set method.

Thanks for supporting contributions

Nikolaos Tsaousis, Ivan Danov, Gordon Wrigley, Yetunde Dada, Kiyohito Kunii, Lorena Balan, Richard Westenra, Dmitrii Deriabin, Joel Schwarzmann, Alex Kalmikov

Release 0.14.2

Major features and improvements

  • Added Data Set transformer support in the form of AbstractTransformer and DataCatalog.add_transformer.

Breaking changes to the API

  • Merged the ExistsMixin into AbstractDataSet.
  • Pipeline.node_dependencies returns a dictionary keyed by node, with sets of parent nodes as values; Pipeline and ParallelRunner were refactored to make use of this for topological sort for node dependency resolution and running pipelines respectively.
  • Pipeline.grouped_nodes returns a list of sets, rather than a list of lists.

Thanks for supporting contributions

Nikolaos Tsaousis, Ivan Danov, Gordon Wrigley, Yetunde Dada, Kiyohito Kunii, Lorena Balan, Richard Westenra, Darren Gallagher, Zain Patel

Release 0.14.1

Major features and improvements

  • New I/O module HDFS3DataSet.

Bug fixes and other changes

  • Improved API docs.
  • Template run.py will throw a warning instead of error if credentials.yml is not present.

Breaking changes to the API

None

Thanks for supporting contributions

Nikolaos Tsaousis, Ivan Danov, Dmitrii Deriabin, Gordon Wrigley, Nasef Khan, Kiyohito Kunii, Lorena Balan, Richard Westenra

Release 0.14.0:

The initial release of Kedro.

Thanks to our main contributors

Nikolaos Tsaousis, Ivan Danov, Dmitrii Deriabin, Gordon Wrigley, Yetunde Dada, Nasef Khan, Kiyohito Kunii, Nikolaos Kaltsas, Meisam Emamjome, Peteris Erins, Lorena Balan, Richard Westenra

Thanks for supporting contributions

Jo Stichbury, Aris Valtazanos, Fabian Peters, Guilherme Braccialli, Joel Schwarzmann, Miguel Beltre, Mohammed ElNabawy, Deepyaman Datta, Shubham Agrawal, Oleg Andreyev, Mayur Chougule, William Ashford, Ed Cannon, Nikhilesh Nukala, Sean Bailey, Vikram Tegginamath, Thomas Huijskens, Musa Bilal

We are also grateful to everyone who advised and supported us, filed issues or helped resolve them, asked and answered questions and were part of inspiring discussions.