Python notebooks with the Panoptes python client

Single user Jupyter notebooks with the Panoptes Python client pre-installed for the Zooniverse.

It depends on:

• https://hub.docker.com/r/jupyter/scipy-notebook/
• https://github.com/zooniverse/panoptes-python-client

Usage

If you are using the python client to interact with the Zooniverse API, you will need to copy the env.list.example file and add your own username and password to the env.list file.

• cp env.list.example env.list

Run the published image locally using the ./start_notebooks.sh script or manually via the following docker cmd:

docker run -it --rm --env-file ./env.list --name python_notebook -p 8888:8888 -v $(pwd)/data:/home/jovyan zooniverse/panoptes-python-notebook

Or with Docker Compose:

docker-compose run --rm --service-ports notebook

The container will run and inform you how to access the local notebook server, e.g.

[I 12:24:18.485 NotebookApp] Serving notebooks from local directory: /home/jovyan
[I 12:24:18.485 NotebookApp] 0 active kernels
[I 12:24:18.485 NotebookApp] The Jupyter Notebook is running at:
[I 12:24:18.485 NotebookApp] http://[all ip addresses on your system]:8888/?token=6462e704464da9b8129027558b44cde94f44c03726fb9ba9
[I 12:24:18.486 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 12:24:18.493 NotebookApp]

    Copy/paste this URL into your browser when you connect for the first time,
    to login with a token:
        http://localhost:8888/?token=6462e704464da9b8129027558b44cde94f44c03726fb9ba9

Manually build docker images and run the containers

Via the compose tool docker-compose build notebook-dev

Then run the notebook docker-compose run --rm --service-ports notebook-dev

Via direct docker commands docker build -t panoptes-python-notebook .