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  1. Basic usage | 1.8 | Documentation | Poetry - Py...

    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. This will orchestrate your project and its dependencies. For now, it looks like this:
    python-poetry.org/docs/1.8/basic-usage/
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  2. Managing environments | 1.8 | Documentation | P...

    Managing environments Poetry makes project environment isolation one of its core features. What this means is that it will always work isolated from your global Python installation. To achieve this, it will first check if it’s currently running inside a virtual environment. If it is, it will use it directly without creating a new one. But if it’s not, it will use one that it has already created or create a brand new one for you.
    python-poetry.org/docs/1.8/managing-environments/
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  3. Dependency specification | Documentation | Poet...

    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] # ... dependencies = [ "requests (>=2.23.0,<3.0.0)" ] While dependencies in tool.poetry.dependencies are specified using toml tables, dependencies in project.dependencies are specified as strings according to PEP 508.
    python-poetry.org/docs/dependency-specification/ Similar Results (1)
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  4. Repositories | main | Documentation | Poetry - ...

    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. But, you want to install a dependency to your project for a simple API repository? Let’s do it.
    python-poetry.org/docs/main/repositories/
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