Skip to content

Latest commit

 

History

History
246 lines (181 loc) · 7.25 KB

install-jupyter-lab-on-oci.md

File metadata and controls

246 lines (181 loc) · 7.25 KB
Raw
title parent tags categories description date redirect_from mrm xredirect slug
Install JupyterLab in OCI
tutorials
oci
get-started
jupyter
python
data-science
machine-learning
open-source
ai-ml
This tutorial will guide you through setting up your environment to run JupyterLab on Oracle Cloud Infrastructure.
2021-10-07 14:27
/collections/tutorials/install-jupyter-lab-on-oci/
WWMK211117P00079
install-jupyter-lab-on-oci

{% slides %}

This tutorial will guide you through setting up your environment to run JupyterLab on Oracle Cloud Infrastructure. JupyterLab is the web-based user interface for Project Jupyter.

For additional information, see:

Prerequisites

To successfully complete this tutorial, you'll need the following:

  • An Oracle Cloud Infrastructure Free Tier account. [Start for Free]({{ site.urls.always_free }}).
  • A MacOS, Linux, or Windows computer with ssh support installed.
  • OCI Cloud Shell (It provides a great platform for quickly working with Terraform as well as a host of other OCI interfaces and tools.)
  • 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.

Getting started

Getting up and running with JupyterLab is pretty simple. We'll cover all the important steps in this tutorial:

  • Setting up Python and installing Python components and libraries
  • Installing JupyterLab
  • Configuring JupyterLab

Lets start with setting up the Python Environment.

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 create a virtual environment called myvirtualenv

    virtualenv -p /usr/bin/python3 myvirtualenv

  3. To activate the new environment:

    source myvirtualenv/bin/activate

  4. Now, to get a list of Python Libraries in our environment.

    The following command will show which 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.
 ```

  5. To upgrade your PIP Environment for this virtual environment:

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

JupyterLab Setup

  1. Use pip to install JupyterLab:

    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 JupyterLab environment:

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

Configure JupyterLab like an OEL7 Linux Service

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

    vi /home/opc/launchjupyterlab.sh

  2. Add the following content to launchjupyterlab.sh.
    You must use the virtualenv you created, and you can launch JupyterLab on a specific port (e.g., 8001) and listen on your VM's public IP.

    #!/bin/bash

# Activate myvirtualenv Environment
source myvirtualenv/bin/activate

cd /home/opc

if [ "$1" = "start" ]; then
nohup jupyter-lab --ip=0.0.0.0 --port=8001 > ./nohup.log 2>&1 &
echo $! > /home/opc/jupyter.pid
else
kill $(cat /home/opc/jupyter.pid)
fi

  3. Now, we'll need to make the script executable so it can be run from the jupyterlab service:

    chmod 777 /home/opc/launchjupyterlab.sh

  4. Connect to the 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:

    [Unit]
Description=Service to start jupyterlab for opc
Documentation=
[Service]
User=opc
Group=opc
Type=forking
WorkingDirectory=/home/opc
ExecStart=/home/opc/launchjupyterlab.sh start
ExecStop=/home/opc/launchjupyterlab.sh stop
[Install]
WantedBy=multi-user.target

  7. Test the JupyterLab Service:

    systemctl start jupyterlab
systemctl status jupyterlab
systemctl enable jupyterlab

Reboot your VM

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

  2. Open port 8001 to your virtual machine VM 2.1 so you can access JupyterLab 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. Connect to http://xxx.xxx.xxx.xxx:8001/ (replacing xxx with your public IP) in your browser.

    NOTE: If you're running directly on a virtual machine and have a browser installed, it should take you directly into the Jupyter environment. {:.notice}

    You should now see the Python Web environment "JupyterLab".

What's next

To explore more information about development with Oracle products:

{% endslides %}