# Kedro Partitioned ![GitHub Workflow Status](https://img.shields.io/github/workflow/status/ProjetaAi/kedro-partitioned/Build) ![Codecov](https://img.shields.io/codecov/c/gh/ProjetaAi/kedro-partitioned) ![GitHub Workflow Status](https://img.shields.io/github/workflow/status/ProjetaAi/kedro-partitioned/Release?label=release) ![Documentation Status](https://readthedocs.org/projects/kedro-partitioned/badge/?version=latest) ![PyPI](https://img.shields.io/pypi/v/kedro-partitioned) Kedro Plugin focused on extending and helping the user to process partitioned data. ## Installation Execute this command in your terminal: ```bash pip install kedro-partitioned ``` ## Contents ```{toctree} --- caption: Contents maxdepth: 2 hidden: true --- parallelism datasets decorators helpers utils ``` The package is currently divided in 4 sections every one with a different purpose: ### Parallelism This section is focused on helping the user to process partitioned data in parallel. ### Datasets This section is focused on extending the current Kedro datasets to add more specific features for manipulating partitioned data. ### Decorators This section is focused on adding decorators to help the user to write less code when using partitioned data in Kedro nodes. ### Helpers ### Utils Uncategorised functions that may be helpful when working with partitioned data. > Read the following sections to learn about each one of them. ## API Reference ```{eval-rst} * :ref:`modindex` * :ref:`genindex` ``` ## Credits - [@gabrieldaiha](https://github.com/gabrieldaiha) - [@nickolasrm](https://github.com/nickolasrm)