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Reusables functions for data science projects

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Table of Contents
  1. About The Project
  2. Getting Started
  3. Usage
  4. Roadmap
  5. Contributing
  6. License
  7. Contact
  8. Acknowledgments

About The Project

![Product Name Screen Shot][product-screenshot]

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Built With

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Getting Started

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Prerequisites

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  • npm
    npm install npm@latest -g
    

Installation

  1. Get a free API Key at https://example.com
  2. Clone the repo
    git clone https://github.com/github_username/repo_name.git
    
  3. Install NPM packages
    npm install
    
  4. Enter your API in config.js
    const API_KEY = 'ENTER YOUR API';
    

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Usage

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Roadmap

  • Feature 1
  • Feature 2
  • Feature 3
    • Nested Feature

See the open issues for a full list of proposed features (and known issues).

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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.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

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

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License

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

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Contact

Your Name - @twitter_handle - email@email_client.com

Project Link: https://github.com/github_username/repo_name

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Acknowledgments

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linting: pylint [product-screenshot]: images/screenshot.png

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