![]() ![]() You will know the setup is successful if you see the jupyter notebook dashboard in your web browser: If not please run with -ip and -port options.Īnd you should also be able to start up the notebook server on x86 in the container via the following run command. Note: This is if the optional jupyter_kernel_gateway_config.py is setup. When both sides of the solution are setup, you should be able to start up jupyter kernel gateway using the following command: jupyter kernelgateway It’s instructions can be found in the NB2KG link above or here. This will conclude the configuration on z/OS and you should move onto configuring NB2KG on an x86 system. ![]() #c.JupyterWebsocketPersonality.list_kernels = True They are the following #c.KernelGatewayApp.allow_origin = '*' There are a few values that will need to be edited and uncommented. ![]() You can generate a config file with the following command jupyter kernelgateway -generate-config This can be accomplished with the following command python -m ipykernel install –userĪfter this point you should configure JKG. So in this case lets do conda install jupyter-kernel-gatewayįrom here we will need to create a python 3 kernel for jupyter to use. The command to perform any install with conda is conda install. Once you have your environment activated we will need to install a few packages through the conda package manager, mainly the dependencies for creating a python kernel and running JKG or JEG. Or if you look at your shell you will see your environments name in parenthesis preceding your input. You can confirm the environment has been activated with one of two ways, if you run conda info –envs all of your environments will be listed, and the current active one will have a “*” next to it. This environment can then be activated with one of the following commands source activate This will create a new environment with python and its dependencies in ~/.conda/envs. ![]() To create a conda environment you can use the following command conda create -n python This allows each user to have full access to the packages they intend to use. In general, we highly recommend users creating their own Conda Environments. To execute and run a Jupyter Notebook server, the current solution is to use our Jupyter Kernelgateway(JKG) on z/OS and NB2KG's install process on x86. Anaconda/ODL Installation Verification Program (IVP) with Jupyter Notebook Jupyter Kernel Gateway with NB2KG ![]()
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