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easy-jupyter's Introduction

Docker Image for Data Science Applications

Usage

This Dockerfile will create a Docker image which consists of data science tools written in Python. Currently, this Docker image will pull notebooks from the Github repository and will start the notebook server.

Pull openebs/easy-jupyter image

docker pull openebs/easy-jupyter:latest

Run Jupyter Notebook inside the docker container

docker run -e GIT_REPO=github/repo/url/to/notebooks.git -p 8888:8888 openebs/easy-jupyter:latest

Optional environment variables required

# Github handle
GITHUB_USERNAME

# User name to be set in .gitconfig
USER_NAME

# User email address also to be set in .gitconfig
USER_EMAIL

#Github personal access token
GITHUB_TOKEN

easy-jupyter's People

Contributors

ankitkachru avatar kmova avatar satyamz avatar shubhambhattar avatar vharsh avatar vipulgupta2048 avatar wdhif avatar yuvi17 avatar

Stargazers

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Watchers

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Forkers

gkganesh126 www3838438 3838438org vipulgupta2048 shubhambhattar ankitkachru edngulele geomars yuvi17

easy-jupyter's Issues

Allow root error

The Docker container exists with an error when the image is re-built. This is due to an issue where notebooks cannot be run as root.

Support for Deep Learning Libraries

Adding support for using deep learning libraries tensorflow and keras to the docker build. This will allow this image to be potentially used for deep learning tasks as well.

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