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This article is about how python poetry creates a virtual environment. The editor thinks it is very practical, so share it with you as a reference and follow the editor to have a look.

1. Specify the Python version through poetry env use, and then create a virtual environment.

Poetry defaults to the system's default Python environment.

The default virtual environment configuration is stored in the / home/ {user} / .cache / pypoetry directory, which can be viewed directly.

➜poetry config-the path to the cache directory used by list# poetry cache-dir = "/ home/so1n/.cache/pypoetry" experimental.new-installer = trueinstaller.parallel = true# defaults to true. If there is no virtual environment when executing poetry install/poetry add, a virtual environment is automatically created. If the virtual environment is set to false, the package will be installed to the system environment virtualenvs.create = true# if the default value is false and set to true. The path to the virtual environment virtualenvs.in-project = false# virtual environment is created under the current project directory, with the default path {cache-dir}\ virtualenvsvirtualenvs.path = "{cache-dir} / virtualenvs" # / home/so1n/.cache/pypoetry/virtualenvs

2. Poetry changes the command and then creates a virtual environment to achieve the effect of creating a virtual environment under the project path.

The default usage habits (including some third-party packages) assume that venv is created under the project path, which is also easy to manage.

# change configuration ➜poetry config virtualenvs.in-project true Thank you for reading! This is the end of the article on "how to create a virtual environment in python poetry". I hope the above content can be of some help to you, so that you can learn more knowledge. if you think the article is good, you can share it for more people to see!

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