![]() Serving notebooks from local directory: /dartfs-hpc/rc/home/e/d35398e JupyterLab application directory is /optnfs/common/miniconda3/envs/anaconda3 /share/jupyter/lab JupyterLab extension loaded from /optnfs/common/miniconda3/envs/anaconda3 /lib/python3.8/site-packages/jupyterlab The port 8889 is already in use, trying another port. Here's a sample output if JNB launches successfully: The port 8888 is already in use, trying another port. (anaconda3) $ jupyter notebook -no-browser anaconada3), you can run Jupyter Notebook $ conda activate anaconda3 Once you have (created and) activated an environment that has the jupyter module installed (eg. This step is also performed on the HPC system. Or $ conda create -name minianaconda pip jupyter pandas STEP 2 - Start Jupyter Notebook on HPC $ conda create -name myanaconda -clone anaconda3 Or meet in the middle and clone an existing environment for customization, or create a more minimal one (not full Anaconda). activate) a "global" environment provided: $ conda env listĪnaconda2 /optnfs/common/miniconda3 /envs/anaconda2Īnaconda3 /optnfs/common/miniconda3 /envs/anaconda3 The anaconda package contains jupyter, pip, pandas, and many more modules.Īlternatively, you can use (ie. $ conda create -name jupyter python=3.7 anaconda Perform this step on one of our HPC systems - e.g. This comes with a number of steps: STEP 1 - Creating (or using) an "Anaconda" or Jupyter-enabled Conda environment Having Conda environments on our HPC infrastructure also means that anyone can access a Jupyter Notebook environment as part of the Anaconda packages that are already or can be installed in a Conda environment.
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