gprao7/jupyter repository overview

⁠Jupyter Notebook Multi-Kernel Environment

This repository contains two Docker images that provide a Jupyter Notebook environment with different kernel setups.

⁠1. gprao7/jupyter:multi

A multi-kernel environment with support for Java, C, and JavaScript.

⁠2. gprao7/jupyter:r-notebook

A notebook environment that includes only the R kernel.

⁠Features

⁠gprao7/jupyter:multi

• Java Kernel using Rapaio Jupyter Kernel
• C Kernel using Brendan Rius's C kernel for Jupyter
• JavaScript Kernel using IJavascript
• Fully functional JupyterLab environment

⁠gprao7/jupyter:r-notebook

• R Kernel for running R code in Jupyter
• Lightweight and focused on R development
• Fully functional JupyterLab environment

⁠Quick Start

Run the below command from the directory that you want to be mounted inside the container.

⁠1. Multi Kernel Notebook [Python + Java, C, JavaScript]

• Windows

   docker run -p 8888:8888 -v ${PWD}:/home/jovyan/notebooks gprao7/jupyter:multi

• Linux/Unix

   docker run -p 8888:8888 -v $(pwd):/home/jovyan/notebooks gprao7/jupyter:multi

⁠2. R Notebook

• Windows

   docker run -p 8888:8888 -v ${PWD}:/home/jovyan/notebooks gprao7/jupyter:r-notebook

• Linux/Unix

   docker run -p 8888:8888 -v $(pwd):/home/jovyan/notebooks gprao7/jupyter:r-notebook

⁠How to Use

⁠Download and Run

You can pull either of the images from Docker Hub using:

docker pull gprao7/jupyter:multi

docker pull gprao7/jupyter:r-notebook

⁠Running the Container

When running the container, make sure to map:

• Host port to the container port 8888 to access Jupyter.
• A host directory to the container path /home/jovyan/notebooks for persistent storage of your notebooks.

Example commands:

⁠For gprao7/jupyter:multi:

docker run -p <host_port>:8888 -v <host_directory>:/home/jovyan/notebooks gprao7/jupyter:multi

⁠For gprao7/jupyter:r-notebook:

docker run -p <host_port>:8888 -v <host_directory>:/home/jovyan/notebooks gprao7/jupyter:r-notebook

Replace:

• <host_port> with the port on your machine (e.g., 8888).
• <host_directory> with the path to your desired folder on your local machine where you want to store your notebooks.

Once the container is running, you can access Jupyter Notebook at http://localhost:<host_port>.