Docker¶

You can use scikit-portfolio through docker, provided you have docker installed or available in your system. Docker makes development efficient and predictable. Docker takes away repetitive, mundane configuration tasks and is used throughout the development lifecycle for fast, easy and portable application development – desktop and cloud. Docker’s comprehensive end to end platform includes UIs, CLIs, APIs and security that are engineered to work together across the entire application delivery lifecycle.

Docker build¶

From root of repo issue the following command

docker build -f docker/Dockerfile . -t skportfolio

Docker run an interpreter¶

You can start an IPython interpreter

docker run -it skportfolio poetry run ipython

or even a Jupyter notebook that you can remotely connect to!

docker run -it -p 8888:8888 skportfolio poetry run jupyter notebook --allow-root --no-browser --ip 0.0.0.0

Then open a browser pointing at http://127.0.0.1:8888/?token=xxx where xxx is the token indicated by the output of the above command.

Docker run pytest¶

docker run -t skportfolio poetry run pytest

Docker open a bash shell¶

docker run -it skportfolio bash