See the CUDA-enabled Python docker stack for GPU accelerated docker images.

Python docker stack

Multi-arch (linux/amd64, linux/arm64/v8) docker images:

• glcr.b-data.ch/python/ver
• glcr.b-data.ch/python/base
• glcr.b-data.ch/python/scipy

Images considered stable for Python versions ≥ 3.10.5.

Build chain

ver → base → scipy

Features

glcr.b-data.ch/python/ver serves as parent image for glcr.b-data.ch/jupyterlab/python/base.

The other images are counterparts to the JupyterLab images but without

• code-server
• IPython
• JupyterHub
• JupyterLab
  • JupyterLab Extensions
  • JupyterLab Integrations
• Jupyter Notebook
  • Jupyter Notebook Conversion
• LSP Server
• Oh My Zsh
  • Powerlevel10k Theme
  • MesloLGS NF Font
• Widgets

and any configuration thereof.

Table of Contents

• Prerequisites
• Install
• Usage
• Contributing
• License

Prerequisites

This projects requires an installation of docker.

Install

To install docker, follow the instructions for your platform:

• Install Docker Engine | Docker Documentation > Supported platforms
• Post-installation steps for Linux

Usage

Build image (ver)

latest:

docker build \
  --build-arg PYTHON_VERSION=3.12.3 \
  -t python/ver \
  -f ver/latest.Dockerfile .

version:

docker build \
  -t python/ver:MAJOR.MINOR.PATCH \
  -f ver/MAJOR.MINOR.PATCH.Dockerfile .

For MAJOR.MINOR.PATCH ≥ 3.10.5.

Run container

self built:

docker run -it --rm python/ver[:MAJOR.MINOR.PATCH]

from the project's GitLab Container Registries:

docker run -it --rm \
  IMAGE[:MAJOR[.MINOR[.PATCH]]]

IMAGE being one of

• glcr.b-data.ch/python/ver
• glcr.b-data.ch/python/base
• glcr.b-data.ch/python/scipy

Contributing

PRs accepted.

This project follows the Contributor Covenant Code of Conduct.

License

MIT © 2022 b-data GmbH