# Download and install rsconnect-jupyter in the same environment # Update this to specify the desired version of the rsconnect-jupyter package, # or pass `-build-arg VERSION=.` to docker build. Install the rsconnect-jupyter package with the following command:įROM jupyterhub/jupyterhub:0.9.4 # Install Jupyter notebook into the existing base conda environment RUN conda install notebook The following commands should be run after activating the Python environment where you plan to use jupyter. Notebook server and kernel are installed: Rsconnect-jupyter package into the Python environment where the Jupyter In JupyterHub, follow these directions to install the Once you complete the installation instructions, please return to this document for additional information such as Upgrading or Usage instructions. The RStudio Server Pro documentation on Jupyter Notebooksįor instructions on installing the plugin to the right location. conda install -c astropy -c defaults scipy h5py beautifulsoup4 html5lib. If you are installing rsconnect-jupyter to Jupyter running on RStudio Server Pro, see Python virtual environments, then we recommend starting by installing the. Installing to Jupyter running on RStudio Workbench # To create a new Conda Python environment named and install python 3.8.To do so, you will need to activate the virtualĮnvironment in each new terminal session before you run jupyter. To avoid dependency conflicts, use tools such as virtualenv. Be sure to run Jupyter from this virtual environment, not fromĪnother installation, or the rsconnect-jupyter extension will
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