Install Jupyter Lab in OCI

1 Introduction

This tutorial will guide you through setting up your environment to run Jupyter Lab on Oracle Cloud Infrastructure.

2 Prerequisites

You’ll need a Virtual Machine 2.1 with Oracle Linux 7.9 (OEL7) deployed in Oracle Cloud Infrastructure (OCI).

  • Oracle Linux 7.9 using pip3.6 by default.
  • Python 3.6 or higher installed
  • Access to root, either directly or via sudo. By default in OCI, you are connected as the “opc” user with sudo privilege.

The install is pretty simple. It consists of setting up python and installing python components and libraries.

Lets start with setting up the Python Environment

3 Python Setup

By default, OEL7 runs Python 3. The first step is to install pip and virtualenv.

  1. Install virtualenv

    Virtualenv enables us to create isolated sandboxes for developing Python applications without running into module or library conflicts. It’s very simple to install:

     sudo pip3.6 install virtualenv
  2. Next we can create a virtual environment called “myvirtualenv”

     virtualenv -p /usr/bin/python3 myvirtualenv
     # Activate the env
     source myvirtualenv/bin/activate
  3. Check list of Python Libraries in your environment

    Running the following command will show what Python models we have installed at this point.

     (myvirtualenv)$ pip3 list
     Package    Version
     ---------- -------
     pip        21.1.3
     setuptools 57.1.0
     wheel      0.36.2
     WARNING: You are using pip version 21.1.3; however, version 21.2.1 is available.
     You should consider upgrading via the '/home/opc/myvirtualenv/bin/python -m pip install --upgrade pip' command.
  4. Upgrade your PIP Environment for this virtual environment:

     /home/opc/myvirtualenv/bin/python -m pip install --upgrade pip

4 Jupyter Lab Setup

  1. Use pip to install Jupyter Lab:

     pip3 install jupyterlab
  2. Install Python Libraries for Machine Learning or ETL Process:

     pip install pandas
     pip install pandarallel
     pip install dask
     pip install seaborn
     pip install matplotlib
     pip install plotly
     pip install -lxml==4.6.3
     pip install selenium
     pip install beautifulsoup4
     pip install scikit-learn
  3. Install other Python libraries for Kafka Access and WEB Server Access:

     pip install kafka-python (v2.0.0)
     pip install Flask
     pip install gunicorn
  4. Install extensions for Jupyter Lab environment:

     pip install jupyter_contrib_nbextensions
     jupyter contrib nbextension install --user
     jupyter nbextension enable execute_time/ExecuteTime

5 Configure Jupyter Lab like an OEL7 Linux Service

  1. Create a script to instantiate automatically and reboot jupyterlab with the opc user.

     vi /home/opc/
  2. Add the contents below to You must use the virtualenv you created, and you can launch Jupyter Lab on a specific port (for example: 8001) and listen on your VM’s public IP.

     # Activate myvirtualenv Environment
     source myvirtualenv/bin/activate
     cd /home/opc
     if [ "$1" = "start" ]; then
         nohup jupyter-lab --ip= --port=8001 > ./nohup.log 2>&1 &
         echo $! > /home/opc/
         kill $(cat /home/opc/
  3. Make the script executable so it can be run from the jupyterlab service:

     chmod 777 /home/opc/
  4. Connect to “root” user:

     sudo -i
  5. Create a script to start and stop the “jupyterlab” service:

     vi /etc/systemd/system/jupyterlab.service
  6. Add the following to jupyterlab.service:

     Description=Service to start jupyterlab for opc
     ExecStart=/home/opc/ start
     ExecStop=/home/opc/ stop
  7. Test the Jupyter Lab Service

     systemctl start jupyterlab
     systemctl status jupyterlab
     systemctl enable jupyterlab

6 Reboot your VM

  1. Reboot your machine to check if jupyterlab script is enabled by default on port we defined (8001).

  2. Open port 8001 to your virtual machine VM 2.1 so you can access Jupyter Lab using your Public IP.

     firewall-cmd  --permanent --zone=public --list-ports
     firewall-cmd --get-active-zones
     firewall-cmd --permanent --zone=public --add-port=8001/tcp
     firewall-cmd --reload
  3. If you’re running directly on a virtual machine and have a browser installed, it should take you directly into the Jupyter environment. Connect to (replacing xxx with your public IP).

You should now see the Python Web environment “Jupyter Lab”.