python-project

Setting up a Python project using uv involves initializing a correct pyproject.toml layout, running uv sync to create a .venv with locked dependencies, and validating imports and pytest collection. This standardizes environment setup and reduces trial-and-error.

Migrating an existing Python project to uv requires re-initializing the packaging layout to use pyproject.toml and uv.lock. The workflow then validates the setup through uv sync, import verification, and pytest collection to ensure deterministic dependency resolution.

A uv-compatible Makefile is required to execute project validation commands. The workflow enforces running tools like pytest, ruff, and mypy through uv run commands structured as Makefile targets, ensuring consistent execution of preflight checks and quality guardrails.

Required preflight checks include verifying pyproject.toml presence, confirming uv availability, running uv sync, verifying imports, and executing pytest collection. These checks validate the uv setup and ensure dependencies and tests work correctly before implementation begins.

You can add development tools like pytest, ruff, and mypy to a uv project by configuring them in pyproject.toml. Running uv sync installs these dependencies into the .venv, and execution is handled through uv run commands within the Makefile target structure.

Using uv for project setup provides deterministic dependency workflow through uv.lock, ensuring imports and tests work identically every time. It standardizes pyproject.toml initialization and enforces quality guardrails via uv run execution, reducing friction compared to legacy packaging layouts.