Replace my-proj with the desired name for your project. Type cd ~ to leave the ~/ai directory and go to the home directory.Ĭreate a new project directory for your new virtual environment, and navigate into it. Type exit to exit the virtual environment. You are now in the ~/ai directory of the Docker container, with the virtual environment activated. This prevents packages which depend on each other being automatically upgraded, which could break your project dependency tree.Įnsure you have connected to your GPU Instance via SSH and then launched a Scaleway AI Docker container. This file specifies which specific versions of the packages in the Pipfile should be used. If you push your project to a Git repository, other users who clone it will be able to install all dependencies, based on the Pipfile, with the command pipenv install.Įnter the command cat Pipfile.lock to view the contents of Pipfile.lock.

requires specifes the required python version for the projectĪny packages that you explicitly install with the command pipenv install will automatically be added to the Pipfile.

dev-packages lists the packages required for the project (development environments only).

You can use pip show pipenv as explained here.

packages lists the packages required for the project (production and development environments) First of all you should locate where pip installed your package.source specifies the sources where available packages are added/installed from.The following information will help you understand the output: Enter the command cat Pipfile to view the contents of Pipfile.

Pipenv windows