menriquez-idm / deepnoteandr

Quick reference

• Maintained by: Deepnote
• Where to get help: Community

Python image

• 3.7, 3.8, 3.9, 3.10

How to build

docker build -t deepnote/python:<TAG>  --build-arg FROM_PYTHON_VERSION=<some_version> ./python

Conda images

For every Python version (see above), we also build a -conda variant, which includes Miniconda installation. The Dockerfile for this is at ./python/Dockerfile.conda.

How to build

docker build --build-arg FROM_PYTHON_VERSION=<some_version> -t deepnote/python:<some_version>-conda ./python --file ./python/Dockerfile.conda

R image

• 3.5.2, 4.0.4, 4.2.0

We also have a variant with number of preinstalled libraries. We build it for all the above mentioned R versions and the image is available under deepnote/ir-with-libs. See ir-with-libs for more details.

How to build

docker build -t deepnote/ir:<TAG>  --build-arg R_BASE_VERSION=<some_version> ./ir

GPU image

The image is based on tensorflow docker image and adds packages that are typical part of our other images (git most importantly).

We follow the tagging of tensorflow image. So tensorflow/tensorflow:2.4.1-gpu becomes deepnote/tensorflow:2.4.1-gpu.

Continuous integration

Some images are built automatically using the Docker Hub build. See Docker Hub Builds for more details.