Metadata-Version: 2.1
Name: kedro-partitioned
Version: 0.1.1
Summary: 'Kedro plugin that groups a bunch of tools to deal with partitioned datasets'
Author: ProjetaAi
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: kedro (~=0.18.2)
Requires-Dist: universal-pathlib
Requires-Dist: typing-extensions
Requires-Dist: pyarrow
Requires-Dist: pandas
Requires-Dist: aiohttp
Provides-Extra: dev
Requires-Dist: pytest ; extra == 'dev'
Requires-Dist: pytest-cov ; extra == 'dev'
Requires-Dist: pytest-mock ; extra == 'dev'
Requires-Dist: flake8 ; extra == 'dev'
Requires-Dist: flake8-annotations ; extra == 'dev'
Requires-Dist: flake8-docstrings ; extra == 'dev'
Requires-Dist: sphinx ; extra == 'dev'
Requires-Dist: sphinx-copybutton ; extra == 'dev'
Requires-Dist: sphinx-autodoc-typehints ; extra == 'dev'
Requires-Dist: sphinx-autoapi ; extra == 'dev'
Requires-Dist: yapf ; extra == 'dev'
Requires-Dist: pre-commit ; extra == 'dev'
Provides-Extra: docs
Requires-Dist: sphinx ; extra == 'docs'
Requires-Dist: sphinx-copybutton ; extra == 'docs'
Requires-Dist: sphinx-autodoc-typehints ; extra == 'docs'
Requires-Dist: sphinx-autoapi ; extra == 'docs'
Provides-Extra: test
Requires-Dist: pytest ; extra == 'test'
Requires-Dist: pytest-cov ; extra == 'test'
Requires-Dist: pytest-mock ; extra == 'test'
Requires-Dist: flake8 ; extra == 'test'
Requires-Dist: flake8-annotations ; extra == 'test'
Requires-Dist: flake8-docstrings ; extra == 'test'

# 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)
![PyPI](https://img.shields.io/pypi/v/kedro-partitioned)


## Introduction

Kedro Plugin focused on extending and helping the user to process partitioned data.

## Usage:

Read our [docs](https://projetaai.github.io/kedro-partitioned/).

## Getting Started

Execute this command in your terminal:

```bash
pip install kedro-partitioned
```

## Contribute

If you want to contribute with this package, do the following steps:

1. Fork the repo
2. Clone it in your machine
3. Install with `pip install .[dev]`
4. Run `pre-commit install` in the project root
5. Make your changes
6. Create a pr for us <3

> Note: Remember to create unit tests and to run pytest and flake8 before creating a pr

## Credits

* Gabriel Daiha Alves [@gabrieldaiha](https://github.com/nickolasrm)
* Nickolas da Rocha Machado [@nickolasrm](https://github.com/gabrieldaiha)
