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Docker for Data science

This comes with:

  1. R with hadleyverse packages and other important packages
  2. Python 3 with xgboost, light, catboost, tensorflow, theano, keras, MXNet and so on...
  3. Standalone spark 2.1.1
  4. Configured R on IPython notebook

Follow below instructions to create a docker machine

Create a docker machine

docker-machine create -d virtualbox --virtualbox-cpu-count=8 --virtualbox-memory=28000 --virtualbox-disk-size=50000 default

Build a docker from the dockerfile

docker build -t fullstack .

You can change configuration as you needed

To get interactive R studio

docker run -d -it -v ${PWD}:/home/data -p 8787:8787 fullstack

To start ipython notebook

docker run -d -it -v ${PWD}:/home/data -p 8888:8888 fullstack:latest bash /home/files/StartPython.sh

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