datascience-ultimate-server

Data Science Ultimate Server Docker image

A customized Jupyter Server Spark Docker image packed with everything you need.

What's in?

• Everything from jupyter/all-spark-notebook
  • Python v3.11
  • Scala v2.12 (via spylon-kernel)
  • R v4.3
  • Spark v3.5
  • JupyterLab v4.2
  • Pandas v2.0
  • Numpy v1.26
  • scikit-learn v1.4
  • SciPy v1.12
  • Seaborn v0.13
• More packages:
  • XGBoost v2.1
  • Plotly v5.24
  • Polars v1.6
  • Graphviz v0.20
  • JAWSume v0.1

How to use?

docker run -p 8888:8888 -p 4040:4040 franzdiebold/datascience-ultimate-server

The following endpoints / web apps will be available:

• Jupyter Server: http://localhost:8888/
• Spark Web UI: http://localhost:4040/

Usage in JetBrains DataSpell

To connect to a Jupyter server in JetBrains DataSpell:

1. Click the "Add Jupyter Connection" icon on the toolbar of the Workspace tool window.
2. Select the connection type "Connect to Jupyter server using URL", add the URL "http://127.0.0.1:8888/?token=" to "Server URL" and click "Add".

Use it in your daily routine 🚀

In your .zshrc / .bashrc file add:

alias jupyter-server='docker run --rm -p 8888:8888 -p 4040:4040 -v "${PWD}":/home/jovyan franzdiebold/datascience-ultimate-server:latest'

💪 For an even better integration into your daily Data Science routine, check out the dockerize-datascience repo.

Build image locally

make build-server-arm  # linux/arm64 architecture
make build-server-amd  # linux/amd64 architecture