Migrate from Poetry to uv for dependency management

[JeremieGince]

Description

This pull request migrates the project from using Poetry to using uv for dependency management and virtual environment handling, both in the development workflow and in CI/CD pipelines. It updates the pyproject.toml to remove Poetry-specific configuration, introduces uv dependency groups, and revises the GitHub Actions workflows and documentation to use uv commands. This change aims to simplify and speed up dependency management, improve caching, and modernize the project's Python tooling.

Dependency management and configuration:

• Replaced Poetry configuration in pyproject.toml with uv configuration, including new [dependency-groups] for dev and docs, and added [tool.uv] settings to enable uv-based package management. Removed [tool.poetry] and related dependency groups. [1] [2] [3]
• Updated the README.md to document uv-based installation and development workflows, providing new instructions for creating virtual environments and syncing dependencies. [1] [2]

Continuous Integration (CI) workflow updates:

• Updated .github/workflows/build_dist.yml, .github/workflows/docs.yml, and .github/workflows/tests.yml to install and use uv for creating virtual environments, installing dependencies, running tests, building distributions, and other scripted tasks. All Poetry commands and manual venv activations are replaced with uv equivalents. [1] [2] [3] [4] [5] [6] [7]

Build and documentation improvements:

• Ensured all build, lint, test, and documentation steps in CI use uv run for consistent environment management and to leverage uv's caching and speed improvements. [1] [2] [3] [4] [5] [6]

These changes streamline dependency management, reduce boilerplate, and improve the reliability and performance of local and CI workflows.

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Checklist

Please complete the following checklist when submitting a PR. The PR will not be reviewed until all items are checked.

• All new features include a unit test.
  Make sure that the tests passed and the coverage is
  sufficient by running pytest tests --cov=src --cov-report=term-missing.
• All new functions and code are clearly documented.
• The code is formatted using Black.
  You can do this by running black src tests.
• The imports are sorted using isort.
  You can do this by running isort src tests.
• The code is type-checked using Mypy.
  You can do this by running mypy src tests.

[github-actions]

☂️ Python Coverage

current status: ✅

Overall Coverage

Lines	Covered	Coverage	Threshold	Status
21	21	100%	98%	🟢

New Files

No new covered files...

Modified Files

No covered modified files...

updated for commit: 4f85155 by action🐍