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This is an example of a docker data science work environment - contents - Currently pulls all data from https://hub.docker.com/r/jupyter/datascience-notebook/ This holds Jupiter notebook , python 3 and many library built in such libs Such as scikit learn Run guide First open the terminal at location folder containing the docker file Run Docker build -t ds. This will build a docker container named ds that you can run Finally run the container with the command docker run -it -p 8888:8888 ds To create a volume where data will be stored docker volume create dsv To attach a volume with data to the image run --name Test -v dsv/_data -p 8888:8888 ds
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examples of how to use docker to build a container for developing data science in
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