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https://github.com/drod75/supabase_python_pipeline

An automated python workflow to simulate Supabase data extraction and insertion to get up to date analytics.
https://github.com/drod75/supabase_python_pipeline

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Last synced: 10 months ago
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An automated python workflow to simulate Supabase data extraction and insertion to get up to date analytics.

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README

          

# Supabase Python Pipeline

A brief description of what this project does.

## Table of Contents

Table of Contents


  1. About The Project


  2. Getting Started


  3. Usage

  4. Technologies

  5. Contributing

  6. License

  7. Contact

## About The Project

[Provide more details about the project here.]

## Getting Started

[Instructions on how to set up the project locally.]

### Prerequisites

[List of things you need to install the software and how to install them.]

### Installation

[Step-by-step instructions on how to get a development environment running.]

## Usage

[Examples of how to use the project.]

## Technologies

* etc

## Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are **greatly appreciated**.

1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature')
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request

## License

Distributed under the MIT License. See `LICENSE` for more information.

## Contact

David Rodriguez - [https://www.linkedin.com/in/david-rodriguez-nyc/](https://www.linkedin.com/in/david-rodriguez-nyc/)

Project Link: [https://github.com/drod75/Supabase_Python_Pipeline](https://github.com/drod75/Supabase_Python_Pipeline)