We provide documentation for installing Python, common Python packages, Jupyter Notebooks, JupyterLab, and notebook extensions in the respective documentation for a single server, with Kubernetes, or with Slurm.Ĭan I install additional Python packages? How do I install Python and Jupyter for use with RStudio Workbench / RStudio Server Pro? Yes, you can selectively enable Jupyter Notebooks and/or JupyterLab with RStudio Server Pro or RStudio Workbench. Yes, you can schedule and email notebooks that have been published to RStudio Connect.Ĭan I use JupyterLab with RStudio Workbench / RStudio Server Pro? Yes, you can publish Jupyter Notebooks to RStudio Connect using the rsconnect-jupyter notebook extension.Ĭan I schedule and email Jupyter Notebooks? Refer to the documentation on Configuring RStudio Workbench with Jupyter Notebooks on a Single Server.Ĭan I publish Jupyter Notebooks from RStudio Workbench / RStudio Server Pro? You can configure RStudio Workbench with Jupyter Notebooks on a single server. No, the use of those resource managers with RStudio Workbench and Launcher is optional.
Refer to the documentation on configuring RStudio Workbench with Kubernetes or Slurm for more information.ĭo I need to use Launcher with Kubernetes or Slurm to use Jupyter Notebooks? Yes, if you have a Kubernetes or Slurm cluster, you can configure RStudio Workbench and Launcher to spawn sessions with the RStudio IDE, Jupyter Notebooks, or JupyterLab. This allows data scientists to develop R and Python applications and code using standard editors for R (RStudio) and Python (Jupyter Notebooks and JupyterLab).Ĭan I use Jupyter Notebooks with Kubernetes or Slurm? You can configure RStudio Workbench (previously RStudio Server Pro) to spawn sessions with the RStudio IDE, Jupyter Notebooks, or JupyterLab. How does the integration with RStudio Workbench / RStudio Server Pro and Jupyter Notebooks work?
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