Python Open Source Standards Course is a structured, practical course designed to teach:

• Python project structure best practices
• GitHub repository standards
• Open-source contribution workflow
• Code quality tools
• Linters and formatters
• Pre-commit hooks configuration
• CI-ready development setup

This course focuses on building production-ready Python repositories following modern open-source standards.

python open source standards
python project structure
github best practices
python linting tools
pre-commit hooks python
python repository template
production ready python
python software engineering
clean code python
pep8 standards
ruff black flake8 mypy
open source workflow

project/
│
├── src/
├── tests/
├── pyproject.toml
├── README.md
├── LICENSE
├── CONTRIBUTING.md
├── CHANGELOG.md
└── .pre-commit-config.yaml

We configure and explain:

• Black (code formatter)
• Ruff (fast linter)
• Flake8
• Mypy (static typing)
• isort
• Pre-commit

You will implement:

• Semantic versioning
• Conventional commits
• Issue templates
• Pull request templates
• Security policy
• Code of conduct
• Citation file
• Proper licensing

We configure .pre-commit-config.yaml to automatically:

• Format code
• Check lint errors
• Enforce style consistency
• Prevent broken commits

Install:

pip install pre-commit
pre-commit install

Most Python tutorials teach syntax.

This course teaches:

• How real open-source projects are structured
• How to build GitHub-ready repositories
• How to make your code industry-grade
• How to prepare projects for research or production

git clone https://github.com/YOUR_USERNAME/python-open-source-standards-course.git
cd python-open-source-standards-course
pip install -r requirements.txt

ruff check .
black .
mypy .

• Python developers
• Open-source contributors
• Data scientists
• Backend developers
• Students preparing portfolios
• Developers building research repositories

After completing this course, you will know how to:

✔ Create a clean, maintainable Python repository ✔ Apply professional coding standards ✔ Configure automated quality control ✔ Structure open-source projects properly ✔ Build production-ready Python infrastructure

MIT License

Contributions, improvements, and suggestions are welcome.

Please read CONTRIBUTING.md.

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