/docker-jupyter-dashboards

Dockerfile to build an anaconda3 + jupyter_dashboards

Primary LanguageRubyMIT LicenseMIT

docker-jupyter-dashboards

Dockerfile to build an anaconda3 + jupyter_dashboards

Docker Anaconda3

Created by refactoring the official docker-anaconda3. Docker container with a bootstrapped installation of Anaconda (based on Python 3.6) that is ready to use.

The Anaconda distribution is installed into the /opt/conda folder and ensures that the default user has the conda command in their path.

Jupyter dasboards

Includes:
jupyter_dasboards v0.6.1 jupyter_cms v0.6.2 jupyter_dashboards_bundlers v0.8.1 plotly v1.12.9

Usage

You can download and run this image using the following commands:

docker pull aqbs/anaconda3-jupyter-dashboards

docker run -i -t aqbs/anaconda3-jupyter-dashboards \ /bin/bash

Alternatively, you can start a Jupyter Notebook server and interact with Anaconda via your browser:

docker run -i -t -p 8888:8888 aqbs/anaconda3-jupyter-dashboards /bin/bash -c "/opt/conda/bin/jupyter notebook --notebook-dir=/opt/notebooks --ip='*' --port=8888 --no-browser"

You can then view the Jupyter Notebook by opening http://localhost:8888 in your browser, or http://<DOCKER-MACHINE-IP>:8888 if you are using a Docker Machine VM.