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  1. Configuration | 1.7 | Documentation | Poetry - ...

    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.
    python-poetry.org/docs/1.7/configuration/
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  2. Managing environments | main | Documentation | ...

    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/main/managing-environments/
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  3. The pyproject.toml file | 1.7 | Documentation |...

    The pyproject.toml file The tool.poetry section of the pyproject.toml file is composed of multiple sections. name The name of the package. Required This should be a valid name as defined by PEP 508. name = "my-package" version The version of the package. Required This should be a valid PEP 440 string. version = "0.1.0" Note If you would like to use semantic versioning for your project, please see here. description A short description of the package.
    python-poetry.org/docs/1.7/pyproject/
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  4. Managing dependencies | main | Documentation | ...

    Managing dependencies Note Since Poetry 2.0, main dependencies can be specified in project.dependencies instead of tool.poetry.dependencies. See Dependency specification for more information. Only main dependencies can be specified in the project section. Other groups must still be specified in the tool.poetry section. 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.
    python-poetry.org/docs/main/managing-dependencies/
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  5. Community | main | Documentation | Poetry - Pyt...

    Community Badge For any projects using Poetry, you may add its official badge somewhere prominent like the README. Markdown [![Poetry](https://img.shields.io/endpoint?url=https://python-poetry.org/badge/v0.json)](https://python-poetry.org/) reStructuredText .. image:: https://img.shields.io/endpoint?url=https://python-poetry.org/badge/v0.json :alt: Poetry :target: https://python-poetry.
    python-poetry.org/docs/main/community/ Similar Results (2)
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  6. Introduction | 1.7 | Documentation | Poetry - P...

    Introduction Poetry is a tool for dependency management and packaging in Python. It allows you to declare the libraries your project depends on and it will manage (install/update) them for you. Poetry offers a lockfile to ensure repeatable installs, and can build your project for distribution. System requirements Poetry requires Python 3.8+. It is multi-platform and the goal is to make it work equally well on Linux, macOS and Windows.
    python-poetry.org/docs/1.7/
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  7. FAQ | Documentation | Poetry - Python dependenc...

    FAQ Why is the dependency resolution process slow? While the dependency resolver at the heart of Poetry is highly optimized and should be fast enough for most cases, with certain sets of dependencies it can take time to find a valid solution. This is due to the fact that not all libraries on PyPI have properly declared their metadata and, as such, they are not available via the PyPI JSON API.
    python-poetry.org/docs/faq/ Similar Results (1)
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  8. Repositories | 1.7 | Documentation | Poetry - P...

    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.
    python-poetry.org/docs/1.7/repositories/
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  9. Managing environments | 1.7 | 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/1.7/managing-environments/ Similar Results (1)
    Registered: Mon Oct 28 13:27:33 UTC 2024
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  10. Dependency specification | 1.7 | Documentation ...

    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. Version constraints Caret requirements Caret requirements allow SemVer compatible updates to a specified version. An update is allowed if the new version number does not modify the left-most non-zero digit in the major, minor, patch grouping. For instance, if we previously ran poetry add requests@^2.
    python-poetry.org/docs/1.7/dependency-specification/ Similar Results (1)
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