Jupyter Custom Docker Setup

This repository contains a Docker Compose configuration along with two Dockerfiles to set up a custom Jupyter environment with additional Python libraries.

Prerequisites

Before you begin, ensure you have Docker and Docker Compose installed on your system.

Usage

1. Clone this repository to your local machine:

   git clone https://github.com/AYMNrh/jupyter-custom.git

2. Navigate to the cloned repository:

   cd jupyter-custom

3. Build and start the Docker containers using Docker Compose:

   docker_compose up

4. Once the containers are running, you can access the Jupyter Notebook interface by opening a web browser and navigating to http://localhost:8888.

5. When prompted, enter the token displayed in the terminal to log in to Jupyter Notebook.

Docker Compose Configuration

The docker-compose.yml file defines two services:

• python-libraries: Builds a Docker container based on the Dockerfile.libraries file. It installs Python libraries listed in the requirements.txt file into a volume named jupyter-libraries.

• jupyter: Builds a Docker container based on the Dockerfile.jupyter file. It sets up a Jupyter environment with SciPy and exposes port 8888. It also mounts the notebooks directory from the host machine and the jupyter-libraries volume.

Dockerfiles

Dockerfile.jupyter

This Dockerfile sets up a Jupyter environment based on the jupyter/scipy-notebook image. It exposes port 8888 and sets the working directory to /app. The command start-notebook.sh is used to start the Jupyter Notebook server.

Dockerfile.libraries

This Dockerfile sets up a Python environment based on the python:3 image. It installs the Python libraries listed in the requirements.txt file into a specified directory /libraries.

Customization

• Python Libraries: Modify the requirements.txt file to include any additional Python libraries you require.
• Jupyter Configuration: Adjust the Jupyter configuration in the Dockerfile.jupyter file as needed.