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Jupyter for Big Data Analytics

This is a lightweight Jupyter Docker Image for Big Data Analytics.

It includes support for:

  • Apache Spark 2.4.4
  • Python3.7.
    • numpy.
    • scipy.
    • pandas.
    • pandasql
    • scikit-learn.
    • matplotlib and plotly for visualization.
  • R 3.5.
    • tidyverse.
    • devtools.
    • ggridges ,plotly, leaflet for visualization.
  • Jupyterlab next-generation notebook environment.
  • Apache Toree for Spark Kernel

Quick Start

docker run -p 8888:8888 -d gradiant/jupyter

Browse http://localhost:8888

Configuration

Configuration is set by the following environment variables:

Variables Default Description
JUPYTER_ENABLE_LAB true enables the next-generation user interface for Project Jupyter.
JUPYTER_PORT 8888 binding port of jupyter http server

Notebook Persistence

Notebooks are stored in /notebooks image path. If you want to persist the notebooks you can use docker volumes or bind mounts.

With docker volumes:

docker run -p 8888:8888 -v notebooks:/notebooks -d gradiant/jupyter

With bind mounts:

docker run -p 8888:8888  -v "$(pwd)"/notebooks:/notebooks -d gradiant/jupyter

Spark Support

The image includes Spark 2.4.4 support through Apache Toree Kernels.