Python3 based minimal Docker container for Data Science Development.

• Builds on the latest image of CentOS
• Installs Python (via Miniconda3)
• Installs Development Tools (system libraries like make, gcc, wget …)
• Installs git version 2.x
• Installs the fish shell
• Installs the PyData stack (pandas, jupyter, scikit-learn, seaborn)
• Installs graphviz
• Set up Jenkinsfile and /src/ for packaging

Pull the latest image

docker pull dushyantkhosla/ds-docker-py3`

Run the Container

docker run -it -p 8888:8888 dushyantkhosla/ds-docker-py3

Run Jupyter

jupyter lab --no-browser --ip 0.0.0.0 --allow-root

To Build the Container from scratch

• Clone this repo.
• Open the Terminal and cd into the directory
• Run docker build -t foobar .

Note

• The conda environment is activated automatically when the container starts.
• Helpful messages displayed on container startup