https://github.com/okwilkins/jupyter-docker-example

An example of Docker being used to setup a consistent and isolated Jupyter environment.
https://github.com/okwilkins/jupyter-docker-example

docker example jupyter

Last synced: 6 months ago
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An example of Docker being used to setup a consistent and isolated Jupyter environment.

• Host: GitHub
• URL: https://github.com/okwilkins/jupyter-docker-example
• Owner: okwilkins
• License: mit
• Created: 2023-08-24T18:54:50.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-09-12T17:32:10.000Z (over 2 years ago)
• Last Synced: 2025-03-14T19:19:20.018Z (11 months ago)
• Topics: docker, example, jupyter
• Language: Jupyter Notebook
• Homepage:
• Size: 293 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Jupyter Docker Example

![Docker](https://img.shields.io/badge/docker-%230db7ed.svg?style=for-the-badge&logo=docker&logoColor=white)

![Jupyter Notebook](https://img.shields.io/badge/jupyter-%23f37726.svg?style=for-the-badge&logo=jupyter&logoColor=white)

![Python](https://img.shields.io/badge/Python-3776AB?style=for-the-badge&logo=python&logoColor=white)

If you're eager to harness the power of Jupyter notebooks while maintaining a consistent and isolated environment, you've come to the right place. This repository is your gateway to effortlessly setting up a Jupyter environment using Docker, allowing you to seamlessly dive into data exploration, analysis, and visualization. Whether you're a data scientist, researcher, or developer, this Dockerised Jupyter environment offers the ideal playground for your data-driven adventures.

## Installation and Setup

1. [Install Docker on your machine.](https://docs.docker.com/install/)

2. Copy the `sample.env` file and call it `.env`. Reconfigure the variables to your liking.

3. In a console run: `docker compose up -d --build`

4. Either visit: [http:localhost:8888?token=secret](http:localhost:8888?token=secret) in your browser or (preferably) hook your VS Code Jupyter notebook editor to the same URL.