notebook_dir = path / to / source / code c. ip = IP # IP address on which you want to serve the labĬ. The password is stored as a hashed value in json format in ~/.jupyter/jupyter_notebook_config.json.Įdit the ~/.jupyter/jupyter_notebook_config.py file by changing these lines c. Generate a password for authentication jupyter notebook password Generate a configuration file for Jupyter Notebook in ~/.jupyter jupyter notebook -generate-config Also, execute source ~/.profile in order to reflect these changes in the current session. This is because executables are searched for in the PATH variable, unlike library packages. Remember to use -user instead of -target when the package to be installed contains executables. This can be done by adding this line to ~/.profile export PYTHONPATH = $PYTHONPATH:~/packages You can locally install other packages required for the project to ~/packages directory by using pip install -target packages/ Īlso add packages/ to the PYTHONPATH variable so that Python can look for packages in this directory. This installs jupyter and jupyterlab in ~/.local/bin directory you don’t need root access for this. Other possible alternatives are using a terminal based browser to login to .in, but the one mentioned above is the least tiring! Setting up JupyterLab and packages locally pip3 install -user jupyter jupyterlab I will consider .in for the remaining steps.Īdd these lines to ~/.profile file export HTTP_PROXY = HTTPS_PROXY = source ~/.profile to reflect these changes in the current session. For this, you will need to know the details about the proxy server provided by your institute. In case your account does not have internet access, you will first need to set up a proxy. No more cumbersome sshing! Setting up a proxy for internet access Here, I provide a step-by-step tutorial to set up a public server for JupterLab, so that you can have a password-authenticated, browser-based IDE. I wasn’t very comfortable using vim for large projects, and was in search for a solution when I came across JupyterLab. Such accounts are generally used by sshing via the terminal, which restricts us to terminal-based editors for coding, apart from making the task of project maintenance tedious. Many of us are provided access to GPU clusters or storage space on a server (Linux-based) for various purposes, be it for research or just as such. How to set up a public server for JupyterLab?
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