With core packages for Jupyter Notebooks. Want to use different versions of the same package or if some packages conflict ![]() While this is a simple approach, this setup can result in issues if end users The Python integration steps described above result in a single PythonĮnvironment that contains both core packages for Jupyter Notebooks as well as (Optional) Configure multiple Python versions or environments # ![]() Commenting out the configuration in question is sufficient to restore expected functionality. ![]() For example, setting a password in the files ~/.jupyter/jupyter-server-config.json or ~/jupyter/jupyter-server-config.py, will cause the JupyterLab session to start but not load through the RStudio Workbench interface. Some local Jupyter configurations may prevent the JupyterLab session from correctly launching in RStudio Workbench. Troubleshooting RStudio Workbench and Jupyter (Optional) Configure multiple Python versions or environments Test RStudio Workbench with Launcher and Jupyter Notebooks Restart RStudio Workbench and Launcher Services Configure Launcher with Jupyter Notebooks ![]() Install Jupyter Notebooks, JupyterLab, and Python packages Configure RStudio Workbench with Launcher
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