This differs slightly depending on which platform / shell you are using: Shell To use the environment you need to activate it. To create a new Python 3 virtual environment in the directory env: Platform See the full documentation on using virtual environments with Python for additional details. Here we’ll provide a brief run through of creating a venv for a Quarto project. We’ll also cover using virtual environments with JupyterLab, RStudio, and VS Code. In these examples we’ll assume that you are already within a project directory that contains Quarto documents (so the environment will be created as a sub-directory of the project). Renv (package for managing R environments)īelow we’ll provide some example workflows for using these tools with Quarto.

There are several popular flavors of virtual environment, we will cover the following ones here:

This both helps you to faithfully reproduce your environment (e.g. if you are collaborating with a colleague or deploying to a server) as well as isolate the use of packages so that upgrading a package in one project doesn’t break other projects. Virtual environments provide a project-specific version of installed packages.

Run python code in rstudio