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Docker Hub

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Docker for Data Science

Abstract

Equipped with tools for developing our own images, it quickly becomes important to be able to save and share the images we have written beyond our system. Docker Registries allow us to do just this. For your purposes, the public Docker Registry, Docker Hub, will be more than sufficient, though it is worth noting that other registries exist and that it is possible to create and host your own registry.

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Notes

  1. 1.

    http://hub.docker.com/

  2. 2.

    http://quay.io/

  3. 3.

    http://gcr.io/

  4. 4.

    https://coreos.com/rkt

  5. 5.

    www.tensorflow.org/

  6. 6.

    https://cloud.docker.com/

  7. 7.

    The latest version of IPython, however, does not support Python 2 ( http://ipython.readthedocs.io/en/stable/ ).

  8. 8.

    https://hub.docker.com/_/python/

  9. 9.

    https://github.com/tianon

  10. 10.

    https://en.wikipedia.org/wiki/SHA-2

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© 2017 Joshua Cook

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Cook, J. (2017). Docker Hub. In: Docker for Data Science. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3012-1_6

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