{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "PzmKOAh2LZrF"
      },
      "outputs": [],
      "source": [
        "# The Julia bootstrap block\n",
        "# This should be run for the first time to install Julia kernel, and then refresh this page (e.g., Ctrl-R)\n",
        "# so that colab will redirect to the installed Julia kernel\n",
        "# and then doing your own work\n",
        "\n",
        "# 1. install latest Julia using jill.py\n",
        "#    tip: one can install specific Julia version using e.g., `jill install 1.7`\n",
        "!pip install jill && jill install --upstream Official --confirm\n",
        "# 2. install IJulia kernel\n",
        "! julia -e 'using Pkg; Pkg.add(\"IJulia\"); using IJulia; installkernel(\"Julia\")'\n",
        "# 3. hot-fix patch to strip the version suffix of the installed kernel so that this notebook kernelspec is version agnostic\n",
        "!jupyter kernelspec install $(jupyter kernelspec list | grep julia | tr -s ' ' | cut -d' ' -f3) --replace --name julia"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "erJ7bkEtLrCF",
        "outputId": "a2e41ca3-18c6-43ae-c245-00f8800c00db"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "25"
            ]
          },
          "execution_count": 2,
          "metadata": {
            "tags": []
          },
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# julia cells\n",
        "function square(x)\n",
        "  return x*x\n",
        "end\n",
        "\n",
        "square(5)"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "collapsed_sections": [],
      "name": "julia.ipynb",
      "provenance": [],
      "toc_visible": true
    },
    "kernelspec": {
      "display_name": "Julia",
      "name": "julia"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 2
}