python-engineer

To set up a type-safe Python project, use uv to manage dependencies, virtual environments, and script execution while enforcing explicit type hints and robust testing for Python 3.12+. This creates a consistent, reliable development workflow.

Modern Python dependency management best practices involve using uv as the central workflow tool for packaging and virtual environments, enforcing explicit dependencies via inline script declarations, and adopting libraries like polars and pydantic for safety.

This Python development workflow targets Python 3.12+ projects specifically, requiring robust typing and modern tooling. It is not designed for older Python versions and focuses on establishing modern, opinionated practices.

You should use polars instead of pandas to improve performance and safety in your Python projects. This modern approach aligns with type-safe development practices and integrates with other recommended libraries like pydantic and sqlmodel.

To enforce type hints and code quality in Python 3.12, adopt an opinionated development model using uv for project management, pydantic for runtime validation, and strict observability guidelines for robust error handling.

For modern type-safe Python development, use uv for project management, polars over pandas for data, pydantic or sqlmodel for validation, typer for CLI creation, and httpx for HTTP requests to ensure performance and safety.