• Update(s) - this image also serve as an ai-lab, so it might evolve and won't only serve fastai dev.

Dockerized Jupyterlab server with Fastai/Fastbook - conda based

The image created is compatible with aarch64 (arm64) systems. See Miniconda notes here

Once your container is running, jupyterlab will provide a link to open in a browser.

You can git clone Fastbook, or create a new noteboook project.

Usage:

• Use it with docker-compose or manually directly on Dockerfile.
• project & secrets directory include some utility script to help with projects configuration.

Use with docker-compose

Notes:

• workdir is set on path notebooks

$ docker-compose up --build

Or if you need a fresh cache

$ docker-compose build --no-cache
$ docker-compose up
# Also, in an other console you can log in the active container 
$ docker exec -it [active_container_name] /bin/bash

Use via Dockerfile

$ docker build --no-cache  -t [name_of_image]:[tag_of_image] .
$ docker run -it -p 8888:8888 -v ./notebooks:/notebooks -v ./project:/project -v ./secrets:/secrets  [name_of_image]:[tag_of_image] jupyter lab --ip=0.0.0.0 --no-browser --allow-root --notebook-dir=/notebooks/