Julia for general-purpose applications

This repository contains code samples for using Julia to implement some general-purpose algorithms.

Prerequisites

Codes run on top of a Docker image, ensuring a consistent and reproducible environment.

You will need to have Docker installed on your machine. You can download it from the Docker website.

To run the code, you will need to first pull the Docker image by running the following command:

docker pull abmhamdi/infodev:isetbz

This may take a while, as it will download and install all necessary dependencies. The basic way to start a container is:

docker run -p 6080:80 -v /dev/shm:/dev/shm abmhamdi/infodev:isetbz

How to control the containers:

• docker-compose up -d starts the container in detached mode
• docker-compose down stops and destroys the container

Services can be run by typing the command docker-compose up. This will start the Jupyter Lab on http://localhost:2468 and you should be able to use Julia from within the notebook by starting a new Julia notebook. You can parallelly start Pluto on http://localhost:1234.