dataset-uploader/docs/index.md

Python Project Boilerplate

Welcome! This repository provides a minimal, well-structured starting point for new Python projects.

What You Get

• src/ package layout for application code
• tests/ with placeholder unit tests
• pyproject.toml configured with placeholder metadata
• Ruff linting and formatting
• Pyright type checking
• Nox automation sessions (format, lint, typecheck, tests, docs, build)
• MkDocs configuration for documentation
• Dev container setup for consistent environments

Getting Started

1. Clone or template this repository
2. Rename the package under src/ to match your project
3. Update metadata in pyproject.toml, README.md, and this documentation
4. Create a virtual environment and install dependencies:

   python -m venv .venv
   source .venv/bin/activate
   pip install -e .[dev]
   

5. Run the sample quality checks:

   nox -s format lint typecheck tests
   

6. Launch the example CLI:

   python -m boilerplate
   

Customization Checklist

• Replace placeholders in documentation and configuration
• Add real dependencies to pyproject.toml
• Expand tests in tests/
• Remove this checklist when done

Next Steps

• Add project-specific modules under src/
• Implement real CLI or application entry points
• Document usage, architecture, and development workflow
• Configure CI/CD pipelines as needed

Happy building!