Jupyter with multiple engine support

This repository is a Jupyter service for data science.

It covered many programing language kernel, IPython3 (python2.7.9), IJulia, IRkernel, IGo, IScala, Bash, Redis kernel, IJavascript. Distribution of python is anaconda-2.1.0, this distribution is the latest version of using python2.

Those utilites included for IBM Watson service laboratory are listed as below:

• Google Cloud API
• Watson SDK for nodejs and python
• Node.js: json-query
• Python: wordcloud

Docker Hub Description

Docker Installation

• Windows, MacOS, Linux

Run

1. Run by name Attach volumne for saving notebook in host OS.

$ docker run --name nb -d -v /c/Users/yourName/workspace:/notebooks/workspace -p 8889:8888  jessewei/jupyter_nodejs

    --name <container name>
    -v <work-directory on host machine>:/notebooks/workspace

2. Start/Stop/Remove container

$ docker start nb
$ docker stop nb
$ docker rm nb    

3. Access container

$ docker exec -it nb bash

Open broswer and Go to:

http://192.168.99.100:8889/

• The 192.168.99.100 is default docker machine ip, you may like to verify by

$ docker-machine ip

Docker Cloud Description

This images also managed by cloud.docker, and run on Softlayer.

Open broswer and Go to:

http://notebook.jessewei.tk:8889

Sample notebooks

Notebook location

http://192.168.99.100:8889/tree/nb_demo/watson

Notebook list

The notebook naming start from api and kernel used.

• alchemy_language-py.ipynb, alchemy_language API in python sample
• alchemy_vision-py.ipynb, alchemy_vision API in python sample
• google_vision-py.ipynb, Google vision API in python sample