Using Pipenv to install a package into a newly created project directory. This makes Pipenv a good choice if you just want a tool to focus on virtual environments and packages, and not an all-in-one solution. That is, Pipenv does not create the internal structure of the project directory with mock tests, documentation stubs, etc., but focuses chiefly on package and environment management. Note that unlike other Python project management tools ( such as Poetry), Pipenv does not manage the “scaffolding” of your project. You can also migrate from existing old-school requirements.txt files, so you don’t need to tear your project apart and start it over from scratch to use Pipenv well. Dependencies are tracked and locked, and you you can manage development and runtime dependencies separately. The virtual environment for your project is created and managed for you when you install packages via Pipenv’s command-line interface. Pipenv provides a way to do all of this semi-automatically. Typically when you create a Python project and use a virtual environment for its packages, you’re tasked with creating the virtual environment yourself (using the command py -m venv), installing dependencies into it, and tracking the dependencies manually. Other users will also need to install Pipenv to properly set up a Pipenv-managed project, but fortunately, installing and using Pipenv is a breeze. Further, Pipenv generates a list of your project’s dependencies that can travel with it, allowing other users or developers to set up the same project in the same way.
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