[MNT] Implement Pylint in CI Workflow for Enhanced Code Quality

[jvsguerra]

Enhance the code quality of your project by integrating Pylint into your Continuous Integration (CI) pipeline. Pylint is a powerful static code analyzer for Python that can identify and report code issues, ensuring a higher standard of code cleanliness and maintainability.

Steps to implement:

• Create a Pylint Configuration File: Start by creating a Pylint configuration file (pylintrc), specifying your preferred coding standards and configurations. This file will help customize Pylint's behavior according to your project's needs.
• Update GitHub Actions Workflow: Utilize the GitHub Actions Starter Workflow for Pylint as a reference to create a Pylint CI workflow file (commonly named .github/workflows/pylint.yml).
• Review Pylint Reports: After Pylint runs, make sure to capture and display the results in the CI workflow. You can use actions or scripts to generate and publish a Pylint report, making it easily accessible for developers.

Benefits:

• Identify and address code quality issues early in the development process.
• Maintain a consistent coding standard across your project.
• Improve overall code maintainability and readability.