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.

[!IMPORTANT]

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

[!NOTE] 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.