How To Install Jupyter on Ubuntu 18.04 LTS

Install Jupyter on Ubuntu 18.04 LTS

In this tutorial we will show you how to install Jupyter on Ubuntu 18.04 LTS. For those of you who didn’t know, Jupyter Notebook is an open-source web application used for creating and sharing documents which have the live code, equations, visualizations and explanatory text. It includes data cleaning and transformation, numerical simulation, statistical modeling, machine learning, etc.

This article assumes you have at least basic knowledge of Linux, know how to use the shell, and most importantly, you host your site on your own VPS. The installation is quite simple and assumes you are running in the root account, if not you may need to add ‘sudo’ to the commands to get root privileges. I will show you through the step by step installation Jupyter notebook on an Ubuntu 18.04 Bionic Beaver server.

Install Jupyter on Ubuntu 18.04 LTS Bionic Beaver

Step 1. First, make sure that all your system packages are up-to-date by running these following apt-get commands in the terminal.

Step 2. Installing Python 3 and Pip.

Before installing Jupyter is to add all the required dependency packages to your system:

To verify that everything went well, let us check the Python & PIP version with these commands:

Step 3. Installing IPython and Jupyter Notebook on Ubuntu 18.04 LTS.

Run the following commands to install IPython & Juptyr on our machine:

Before we start the application, we will create a new user for Jupyter Notebook because it is not recommended to run the application as user root:

Finally, start Jupyter Notebook in the background as the newly created ‘jupyter’ using the following command:

You will receive an output similar to the following:

Step 4. Accessing Jupyter.

Jupyter will be available on HTTP port 8000 by default. Open your favorite browser and navigate to or http://server-ip:8000/

Congratulation’s! You have successfully installed Jupyter. Thanks for using this tutorial for installing Jupyter notebook on your Ubuntu 18.04 LTS system. For additional help or useful information, we recommend you to check the official Jupyter web site.

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