Enhancing Code Quality with PyExamine

# Enhancing Code Quality with PyExamine

## Objective
Integrate PyExamine into Python projects to detect and address code smells, thereby improving maintainability and readability.

## Implementation Steps

1. **Install PyExamine**: Ensure PyExamine is installed in your development environment.
   ```bash
   pip install pyexamine
   ```

2. **Configure PyExamine**: Set up PyExamine to analyze your codebase by creating a configuration file named `pyexamine_config.yaml` in the root directory of your project.
   ```yaml
   # pyexamine_config.yaml
   analysis:
     levels:
       - code
       - structural
       - architectural
     metrics:
       - all
   ```

3. **Run PyExamine**: Execute PyExamine to analyze your codebase and generate a report.
   ```bash
   pyexamine --config pyexamine_config.yaml
   ```

4. **Review and Address Findings**: Examine the generated report to identify code smells and refactor the code accordingly to enhance quality.

## Best Practices

- **Regular Analysis**: Integrate PyExamine into your continuous integration pipeline to perform regular code quality checks.
- **Team Collaboration**: Share PyExamine reports with the development team to collectively address code quality issues.
- **Documentation**: Maintain documentation of identified code smells and the steps taken to resolve them for future reference.

## References

- [PyExamine: A Comprehensive, UnOpinionated Smell Detection Tool for Python](https://arxiv.org/abs/2501.18327)