![]() Refer to the support article on troubleshooting Jupyter Notebooks in Workbenchįor additional information on troubleshooting Workbench with Jupyter. ![]() If you would like to use multiple versions of Python or different PythonĮnvironments, or if you want to install Jupyter Notebook in a separateĮnvironment from Python packages for end users, then you can refer to theĭocumentation for using multiple Python versions and environments with With core packages for Jupyter Notebooks. Jupyter Notebook ( notebook module) contains both: the server for notebooks (the backend of the web application that hosts the notebook contents, proxies interaction with kernels, and interacts with the operating system by e.g. ![]() 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 Workbench interface. Some local Jupyter configurations may prevent the JupyterLab session from correctly launching in Workbench. (Optional) Configure multiple Python versions or environmentsĬonfigure RStudio on SageMaker to use Posit products Test Workbench with Launcher and Jupyter Notebooks It offers all the familiar building blocks of the classic Jupyter Notebook (notebook. Configure Launcher with Jupyter Notebooks JupyterLab is the next-generation user interface for Project Jupyter. Install Jupyter Notebooks, JupyterLab, and Python packages
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