# Contribution Guidelines

## Introduction

Contributions to DataAnalysisToolkit are greatly appreciated. Whether it's improving code, documentation, or reporting issues, your contributions help enhance the toolkit.

## How to Contribute

1. **Familiarize Yourself**: Read our [documentation](link-to-docs) and understand the project's scope.
2. **Code Contributions**: For code changes, fork the [GitHub repository](link-to-repo), make your changes, and submit a pull request.
3. **Documentation**: Help improve or translate our documentation. Contributions to tutorials, guides, and docstrings are welcome.

## Contribution Process

- **Reporting Bugs**: Use the [issue tracker](link-to-issues) to report bugs. Provide detailed information for quicker resolution.
- **Feature Requests**: Suggest new features or improvements through the issue tracker.
- **Pull Requests**:
  - Keep PRs small and focused.
  - Follow the coding standards.
  - Include tests for new features.
  - Write meaningful commit messages.
  - Link PRs to relevant issues.

## Code of Conduct

- Adhere to our [Code of Conduct](link-to-code-of-conduct) to ensure a respectful and inclusive environment for all contributors.

## Review Process

- Contributions are reviewed by the core team and the community. Be patient as reviews can take time.
- Engage in discussions if there are any review comments.

## Recognition

- Contributors are acknowledged in our [Contributors List](link-to-contributors). Your efforts are valued and recognized.

Thank you for considering contributing to DataAnalysisToolkit. Your efforts support the growth of an open and collaborative data analysis community.