Suggestions

Virtual Environment Management: Besides creating a basic virtual environment as mentioned earlier, you can use tools like pipenv or poetry for more advanced dependency management and environment isolation.

Version Control: You can integrate your project with Git for version control. This includes setting up a repository, defining a .gitignore file (already mentioned),
and following a branching strategy (e.g., Gitflow) for collaborative development.

Code Formatting: Adopt a consistent code formatting style by using a tool like black to automatically format your code. This ensures that your codebase remains clean
and readable.

Linting: Integrate a linter like flake8 or pylint to enforce coding standards and catch potential issues in your code.

Testing: Use a testing framework such as pytest to write unit tests for your code. Create a dedicated tests/ directory to house your test suite.

Continuous Integration (CI): Set up a CI pipeline with platforms like GitHub Actions, Travis CI, or GitLab CI/CD to automatically run tests, check formatting, and
ensure your code works with every push to the repository.

Documentation: Write comprehensive documentation for your code using docstrings and tools like Sphinx. Maintain a docs/ directory for documentation files.

Git Hooks: Implement pre-commit and pre-push Git hooks to automate checks such as linting and testing before committing or pushing code.

Configuration Management: Use environment variables or configuration files (e.g., .env or .yaml files) to manage sensitive or environment-specific settings.

Logging: Incorporate proper logging using Python's logging module to facilitate debugging and error tracking.

Package Management: If your project needs to be packaged and distributed, create a proper setup.py file and consider using tools like twine for distribution.