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stepik: https://stepik.org/a/193773

Python Open Source Standards Course

Production-Ready Python, GitHub Best Practices, Linters, Pre-Commit & Project Structure

License Python Code Style Pre-commit Website PRs Welcome

🚀 What Is This Repository?

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.

🔎 Keywords (for search visibility)

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

📦 What You Will Learn

1️⃣ Professional Python Repository Structure


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

2️⃣ Python Code Quality Tools

We configure and explain:

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

3️⃣ GitHub Open Source Standards

You will implement:

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

4️⃣ Pre-Commit Automation

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

🧠 Why This Course Matters

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

🛠 Installation

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

🧪 Run Linting & Formatting

ruff check .
black .
mypy .

📈 Who Is This For?

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

🎯 Learning Outcome

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

📜 License

MIT License

🤝 Contributing

Contributions, improvements, and suggestions are welcome.

Please read CONTRIBUTING.md.

🔗 Related Topics

python open source github python standards python linting tools python precommit hooks software engineering python python clean architecture python project template