Intro.jl

An introduction to Julia, Gen.jl, and a few other machine-learning libraries.

Setting up

• Clone (using git) or download (via the "Download ZIP" button under "Code") this repository.
• Make sure you have Docker installed locally. (However, if you have Julia 1.6, then use the Project.toml file here.)
• Run the setup.sh script by opening a Terminal and running ./setup.sh.
• Then you should use that same Terminal to run docker-compose up.
• Wait a few seconds for JupyterLab to start, then head over to port: 46876 (or this link).

Installing Docker & Docker Compose

NOTE: watch for OS-specific caveats.

• Follow along Docker's "Getting Started" page until the "Docker Dashboard" heading. (For Windows and MacOS users, I recommend installing Docker Desktop.)
• Ensure that you have Git installed. This guide should walk you through everything. I recommend using the either pure git or the GitHub CLI for GitHub projects (like this one); however, GitHub Desktop is also a perfectly good solution.

Windows caveats

• In the past, you needed Windows 10 Pro / Education. I'm not sure if this requirement still stands. You may need to upgrade to these editions if Docker fails to start.

Linux caveats

• The Linux installation doesn't provide Docker Compose (a toolchain atop Docker). Follow these steps to install Docker Compose.
• To avoid using sudo docker <blah>, add yourself to the docker group using the following command: sudo usermod -aG docker $(whoami).
• Linux must use git (or the GitHub CLI) through the command-line.