Virtual Environments
We encourage the use of virtual environments when working on shared projects. Virtual environments allow you to create an isolated environment for your project, which can help prevent conflicts between different projects that may require different versions of the same package.
Python Virtual Environments
We recommend using pixi to manage Python virtual environments as it provides an overarching framework for managing Python installations and virtual environments. See information on pixi in the pixi 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.