Julia for general purposes
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This repository contains code samples for using Julia to implement some general-purpose algorithms.
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
docker-compose up -d starts the container in detached modedocker-compose down stops and destroys the containerServices 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.
Content type
Image
Digest
sha256:db19c8e49…
Size
1.5 GB
Last updated
over 2 years ago
docker pull abmhamdi/infodev