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Data Science Folder Structure Setup

  1. This was developed for creating a Python folder to start a data science project.

  2. It includes preconfigured connections to different systems:

    • uv
    • git
    • GitHub workflow
    • .gitignore
  3. It also provides small code snippets for connecting to other systems.

  4. Below are some of the systems included, along with additional setup steps to get them working:

    • logging
    • SQL
    • src
    • config
    • pre-commit hook
    • .gitignore
    • git
    • GitHub workflow
    • uv
    • env
    • validation
    • testing
    • requirements.txt
      • Install dependencies with: uv install requirements.txt
  5. Install the package:

    pip install datascience-folder-structure
    
  6. Create a folder structure:

    createdatasciencefolder NameOfProject
    
    or
    ```bash
    dsf NameOfProject 
    

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Release files for dsfolder 0.0.0.1

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