MAX/Mojo Data Science dev containers

Multi-arch (linux/amd64, linux/arm64/v8) MAX/Mojo Data Science dev containers: Parent images: MAX/Mojo docker stack * CUDA MAX base * CUDA MAX nightly base * CUDA MAX scipy * CUDA MAX nightly scipy * MAX base * MAX nightly base * MAX scipy * MAX nightly scipy * Mojo base * Mojo nightly base * Mojo scipy * Mojo nightly scipy 👉 Open in GitHub Codespaces ℹ️ For further information, see https://github.com/b-data/data-science-devcontainers What makes these dev containers different: 1. Multi-arch: linux/amd64, linux/arm64/v8
ℹ️ Runs on Apple M series using Docker Desktop. 1. Base image: Debian instead of Ubuntu
ℹ️ CUDA-based images use Ubuntu. 1. IDE: JupyterLab next to VS Code 1. Just Python – no Conda / Mamba

GitHub

GitHub - b-data/mojo-docker-stack: (GPU accelerated) Multi-arch (li...

(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) MAX/Mojo docker images. Please submit Pull Requests to the GitLab repository. Mirror of - b-data/mojo-docker-stack

GitHub

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GitHub

GitHub - b-data/data-science-devcontainers: (GPU accelerated) Multi...

(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) Data Science dev containers for R, Python, Julia and MAX/Mojo - b-data/data-science-devcontainers

debian - Official Image | Docker Hub

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ubuntu - Official Image | Docker Hub

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