Best Practices
Project Structure
- Modular Design: Organize your code into modules based on functionality.
- Separation of Concerns: Ensure each module has a single responsibility.
Coding Standards
- PEP 8 Compliance: Follow PEP 8 guidelines for Python code.
- Docstrings: Use docstrings for all public modules, classes, and functions.
Version Control
- Git: Use Git for version control.
- Branching Strategy: Follow a branching strategy such as GitFlow or GitHub Flow.
Testing
- Unit Tests: Write unit tests for individual components.
- Integration Tests: Ensure different parts of the application work together.
- Test Coverage: Aim for high test coverage.
CI/CD
- GitHub Actions: Use GitHub Actions for CI/CD.
- Automated Testing: Run automated tests on each pull request.
Documentation
- MkDocs: Use MkDocs for project documentation.
- API Reference: Automatically generate API reference documentation.
Security
- Dependencies: Regularly update dependencies.
- Sensitive Information: Use environment variables for sensitive information.
- Reporting Vulnerabilities: Have a clear process for reporting security vulnerabilities.
Deployment
- Infrastructure as Code: Use tools like AWS CloudFormation or Terraform.
- Environment Configuration: Maintain separate configurations for different environments.
Logging and Monitoring
- Logging: Implement logging to capture important events and errors.
- Monitoring: Set up monitoring and alerts for critical components.
- Efficiency: Write efficient code to optimize performance.
- Scalability: Design the system to scale horizontally.