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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 using either command:

    pip install datascience-folder-structure
    

    or

    pip install dsfolder
    
  6. Create a folder structure using either command:

    createdatasciencefolder NameOfProject
    

    or the shorter alias:

    dsf NameOfProject
    

Metadata

Release files for dsfolder 0.0.0.2

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Source distribution for dsfolder 0.0.0.2
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Table of built distributions (wheels) for dsfolder 0.0.0.2
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dsfolder-0.0.0.2-py3-none-any.whl Python 3 none any Details for dsfolder-0.0.0.2-py3-none-any.whl

Total release size: 68.1 kB

Release files / dsfolder-0.0.0.2.tar.gz

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