Julia, PyJulia, IPython, IJulia and Jupyter Notebooks in Docker

This repository is the dockerized environment contains following set of tools:

1. Python (3.7)
2. Julia (1.5.2)
3. IPython
4. PyJulia
5. IPyJuila
6. PyCall
7. Jupyter Notebooks
8. Numpy and Pandas

Pyhton and Julia kernals are installed for Jupyter Notebooks.

Usage:

$ docker pull kshfse/ipyjulia-notebooks
$ docker run -v ./notebooks:/home/julia/notebooks -p 8888:8888 -d kshfse/ipyjulia-notebooks         # starts jupyter notebooks

Running via docker-compose:

$ docker-compose up -d

Accessing notebooks via browser

Open browser and navigate to http://<machine-ip>:8888 in case docker is running in local machine, you can navigate to: http://localhost:8888

By default the notebook password is disabled which is not recommended. You can remove the following parameters from Dockerfile to setup password:

1. --NotebookApp.password=''
2. --NotebookApp.token=''

Adding Julia Libraries:

Open install.jl and add REPL of your required libraries.

Adding Julia Libraries:

Open requirements.txt and add names of your required libraries.

To make it work, you need to build your image again.

$ docker image build -t kshfse/ipyjulia-notebooks .
$ docker run -v ./notebooks:/home/julia/notebooks -p 8888:8888 -d kshfse/ipyjulia-notebooks         # starts jupyter notebooks