To do this, we first need access to the virtualenv command.

We will install Jupyter into this virtual environment. Now that we have Python 3, its header files, and pip ready to go, we can create a Python virtual environment for easier management.

Step 2 - Create a Python Virtual Environment for Jupyter We can now move on to setting up a Python virtual environment into which we’ll install Jupyter. sudo apt install python3-pip python3-devĭebian 10 (“Buster”) comes preinstalled with Python 3.7.Next, install pip and the Python header files, which are used by some of Jupyter’s dependencies: We first need to update the local apt package index and then download and install the packages: We will use the Python package manager pip to install additional components a bit later. To begin the process, we’ll download and install all of the items we need from the Debian repositories. You can learn how to set this up by running through our Initial Server Setup with Debian 10 guide. In order to complete this guide, you should have a fresh Debian 10 server instance with a basic firewall and a non-root user with sudo privileges configured. Jupyter Notebooks (or just “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 Debian 10 server. This tutorial will walk you through setting up Jupyter Notebook to run from a Debian 10 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.

The tool can be used with several languages, including Python, Julia, R, Haskell, and Ruby. Jupyter Notebook offers a command shell for interactive computing as a web application so that you can share and communicate with code.

Install pip3 debian