Refer to the support article on troubleshooting Jupyter Notebooks in RStudioįor additional information on troubleshooting RStudio Workbench with Jupyter. ![]() Troubleshooting RStudio Workbench and Jupyter # After updating the pip version, follow the instructions provided below to install Jupyter: Command to install Jupyter: python -m pip install jupyter. Use the following command to update pip: python -m pip install -upgrade pip. Terminal $ ~/ venvs / my_environment / bin / pip install rsconnect_jupyter # Install `rsconnect-jupyter` as a jupyter extension $ ~/ venvs / my_environment / bin / jupyter - nbextension install - sys - prefix - py rsconnect_jupyter # Enable JavaScript extension $ ~/ venvs / my_environment / bin / jupyter - nbextension enable - sys - prefix - py rsconnect_jupyterįor more information refer to the documentation for To install Jupyter using pip, we need to first check if pip is updated in our system. Troubleshooting RStudio Workbench and Jupyter py file: Installing a Python Module in Jupyter Notebook Installing a Python module inside Jupyter Notebook is as easy as installing it from the terminal. Publishing Jupyter Notebooks to RStudio Connect Go to the Files menu, and you’ll see a Download As option where you can download the Jupyter Notebook in almost nine different ways. ![]() Method 2 - Register an additional Python environment only for your user ![]() Register additional Python version as a new kernel Method 1 - Install additional Python version for all users
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