To begin the process, we’ll install the dependencies we need for our Python programming environment from the Ubuntu repositories. You can learn how to set this up by running through our initial server setup tutorial. In order to complete this guide, you should have a fresh Ubuntu 18.04 server instance with a basic firewall and a non-root user with sudo privileges configured. Jupyter Notebooks (or simply Notebooks) are documents produced by the Jupyter Notebook app which contain both computer code and rich text elements (paragraph, equations, figures, links, etc.) which aid in presenting and sharing reproducible research.īy the end of this guide, you will be able to run Python 3 code using Jupyter Notebook running on a remote server. This tutorial will walk you through setting up Jupyter Notebook to run from an Ubuntu 18.04 server, as well as teach you how to connect to and use the notebook. It is often used for working with data, statistical modeling, and machine learning. This tool can be used with several programming languages, including Python, Julia, R, Haskell, and Ruby. An open-source web application, Jupyter Notebook lets you create and share interactive code, visualizations, and more.
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