Analysing Fishing vessel data and their relation with the animals such as Sharks

Installation

Installing Conda

Follow instructions to install Anaconda for Python 3.6+

Creating Virtual Environment

conda env create -f environment.yml
conda activate aionthebeach

Running with docker

We also have a docker image you can run rather than installing dependencies manually with conda. The image is hosted (publically, so don't add any private data for the time being) on docker hub. To start jupyter lab with access to the notebooks in this repo, run the following command from the root dir of this repo:

$ docker run -p 8888:8888 -e JUPYTER_ENABLE_LAB=yes -v $(pwd):/home/jovyan/work aionthebeach/data-science:latest

Additional supported options here. The kepler plugin is broken in jupyter lab so to run jupyter notebook instead just remove -e JUPYTER_LAB_ENABLE=yes. To get a shell in your running container, docker ps will give you a container id and docker exec -it <containerid> bash will give you a bash shell.

Updating docker image

If you need to modify the docker image (for example to add dependencies) you can build a new image tagged with your latest git commit and push it up to the AI On The Beach repo on dockerhub.

$ docker build --tag=data-science:$(git rev-list HEAD --abbrev-commit | head -n1) ./docker/.

$ docker tag data-science:$(git rev-list HEAD --abbrev-commit | head -n1) aionthebeach/data-science

$ docker push aionthebeach/data-science:latest