Dockerfile containing lots of tools for Data Science
docker run --rm -i -t
-p 8888:8888
-p 8889:8889
-p 8787:8787
-p 2222:22
-p 9001:9001
-v "${pwd}:/data/"
--name dsdocker
floriangeigl/datascience /bin/bash
After starting the container you should be able to access jupyter (python 3, julia & R) over http://localhost:8888 (jupyter labs runs on 8889). Furthermore, you can access an r-studio-server at http://localhost:8787. Supervisord webservice (service status; restart services; logs; ...) on 9001. If you want to ssh into the container simply use port 2222.
root:datascience
Open a powershell and open your profile-file using the follwing command.
notepad $PROFILE
paste the following lines into the notepad and save the file.
function dsdocker {
docker run --rm -i -t -p 8888:8888 -p 8889:8889 -p 8787:8787 -p 2222:22 -p 9001:9001 -v "${pwd}:/data" --name dsdocker floriangeigl/datascience /bin/bash
}
Add an alias with the following command (notice the differnce with pwd)
dsdocker='docker run --rm -it -p 8888:8888 -p 8889:8889 -p 8787:8787 -p 2222:22 -p 9001:9001 -v $(pwd):/data --name dsdocker floriangeigl/datascience /bin/bash'
dsdocker='docker run --rm -it -p 8888:8888 -p 8889:8889 -p 8787:8787 -p 2222:22 -p 9001:9001 -v $(cygpath -aw $(pwd)):/data --name dsdocker floriangeigl/datascience /bin/bash'
No you can simple fire up a Data Science container by typing dsdocker in your powershell. This will also mount the working directory into /data/ in the docker container.