davma/jupyter-ultimate repository overview

⁠Jupyter-Ultimate

⁠1. Features

This image is a modification of the official Jupyter Notebook Deep Learning Stack⁠ image.

The following components have been added:

⁠2. Requirements

1. Docker⁠

⁠3. Docker pull

You can download image from Docker Hub⁠ with the following command.

docker pull davma/jupyter-ultimate:latest

⁠4. Supported tags

Tags have been assigned based on the version of python installed.

• latest, 3.10
• 3.9
• 3.8

Can find the dockerfile in the following link⁠

⁠5. Deploy with Docker Compose

Use docker compose for persistent data in your local directory. You will have access from Jupyter to the directory from which you deploy this docker compose.

services:
  jupyter-ultimate:
    container_name: jupyter-ultimate
    image: davma/jupyter-ultimate:latest
    pull_policy: always
    volumes:
      - "./:/home/jovyan"
    ports:
     - "8888:8888"
    restart: always

⁠6. Access to Jupyter-Ultimate

Visiting http://<hostname>:8888/?token=<token> in a browser loads JupyterLab, where:

• Hostname is the name of the computer running Docker.
• Token is the secret token printed in the console.

⁠7. Image build

You can run the image build with the following commands

git clone https://github.com/davma-io-images/jupyterlab.git
cd jupyterlab/jupyter-ultimate/
docker build -t jupyter-ultimate .

⁠8.Documentation and guides

Jupyter Notebook⁠

Jupiter Ansible⁠

Ansible⁠

Terraform⁠

TensorFlow⁠

Docker TensorFlow⁠

Microsoft ODBC 17⁠