Basic usage For the basic usage introduction we will be installing pendulum, a datetime library. If you have not yet installed Poetry, refer to the Introduction chapter. Project setup First, let’s create our new project, let’s call it poetry-demo: poetry new poetry-demo This will create the poetry-demo directory with the following content: poetry-demo ├── pyproject.toml ├── README.md ├── poetry_demo │ └── __init__.py └── tests └── __init__.py The pyproject.toml file is what is the most important here.

Plugins Poetry supports using and building plugins if you wish to alter or expand Poetry’s functionality with your own. For example if your environment poses special requirements on the behaviour of Poetry which do not apply to the majority of its users or if you wish to accomplish something with Poetry in a way that is not desired by most users. In these cases you could consider creating a plugin to handle your specific logic.

Managing dependencies Dependency groups Poetry provides a way to organize your dependencies by groups. For instance, you might have dependencies that are only needed to test your project or to build the documentation. To declare a new dependency group, use a tool.poetry.group.<group> section where <group> is the name of your dependency group (for instance, test): [tool.poetry.group.test] # This part can be left out [tool.poetry.group.test.dependencies] pytest = "^6.0.0" pytest-mock = "*" Note All dependencies must be compatible with each other across groups since they will be resolved regardless of whether they are required for installation or not (see Installing group dependencies).

The pyproject.toml file The tool.poetry section of the pyproject.toml file is composed of multiple sections. package-mode Whether Poetry operates in package mode (default) or not. Optional See basic usage for more information. package-mode = false name The name of the package. Required in package mode This should be a valid name as defined by PEP 508. name = "my-package" version The version of the package. Required in package mode This should be a valid PEP 440 string.

Plugins Poetry supports using and building plugins if you wish to alter or expand Poetry’s functionality with your own. For example if your environment poses special requirements on the behaviour of Poetry which do not apply to the majority of its users or if you wish to accomplish something with Poetry in a way that is not desired by most users. In these cases you could consider creating a plugin to handle your specific logic.

Plugins Poetry supports using and building plugins if you wish to alter or expand Poetry’s functionality with your own. For example if your environment poses special requirements on the behaviour of Poetry which do not apply to the majority of its users or if you wish to accomplish something with Poetry in a way that is not desired by most users. In these cases you could consider creating a plugin to handle your specific logic.

Repositories Poetry supports the use of PyPI and private repositories for discovery of packages as well as for publishing your projects. By default, Poetry is configured to use the PyPI repository, for package installation and publishing. So, when you add dependencies to your project, Poetry will assume they are available on PyPI. This represents most cases and will likely be enough for most users. Private Repository Example Installing from private package sources By default, Poetry discovers and installs packages from PyPI.

Dependency specification Dependencies for a project can be specified in various forms, which depend on the type of the dependency and on the optional constraints that might be needed for it to be installed. project.dependencies and tool.poetry.dependencies Prior Poetry 2.0, dependencies had to be declared in the tool.poetry.dependencies section of the pyproject.toml file. [tool.poetry.dependencies] requests = "^2.13.0" With Poetry 2.0, you should consider using the project.dependencies section instead. [project] # .

Configuration Poetry can be configured via the config command (see more about its usage here) or directly in the config.toml file that will be automatically created when you first run that command. This file can typically be found in one of the following directories: macOS: ~/Library/Application Support/pypoetry Windows: %APPDATA%\pypoetry For Unix, we follow the XDG spec and support $XDG_CONFIG_HOME. That means, by default ~/.config/pypoetry. Local configuration Poetry also provides the ability to have settings that are specific to a project by passing the --local option to the config command.

pre-commit hooks pre-commit is a framework for building and running git hooks. See the official documentation for more information: pre-commit.com This document provides a list of available pre-commit hooks provided by Poetry. Note If you specify the args: for a hook in your .pre-commit-config.yaml, the defaults are overwritten. You must fully specify all arguments for your hook if you make use of args:. Note If the pyproject.toml file is not in the root directory, you can specify args: ["-C", ".