Virtual Environments
The use of virtual environments is recommended when working on shared projects. Virtual environments create an isolated workspace for each project, helping to prevent conflicts between dependencies that may require different versions of the same package.
Python Virtual Environments
We recommend using uv to manage Python virtual environments as it provides an overarching framework for managing Python installations and virtual environments. See information on uv in the uv documentation.
R Virtual Environments
R virtual environments can be created using the renv package. See documentation for more information about how to use renv.
Docker
Docker is a tool that allows you to create, deploy, and run applications using containers. In some instances, it may be more appropriate to use Docker containers to manage your project environment, especially when there is a project environment that needs to be deployed to cloud computing services.