sql-server-samples/samples/features/sql-big-data-cluster/spark/data-loading/hello_PySpark.ipynb

{
    "metadata": {
        "kernelspec": {
            "name": "pyspark3kernel",
            "display_name": "PySpark3"
        },
        "language_info": {
            "name": "pyspark3",
            "mimetype": "text/x-python",
            "codemirror_mode": {
                "name": "python",
                "version": 3
            },
            "pygments_lexer": "python3"
        }
    },
    "nbformat_minor": 2,
    "nbformat": 4,
    "cells": [
        {
            "cell_type": "code",
            "source": "print(\"Hello World! \")\r\n\r\nimport sys\r\nprint(\"Python version \",sys.version)\r\n\r\n#Run some python in notebook\r\nnum = [i*i for i in range(0,20)]\r\nprint(\"My squared numbers \", num)\r\n",
            "metadata": {
                "language": "python"
            },
            "outputs": [
                {
                    "name": "stdout",
                    "text": "Hello World! \nPython version  3.5.2 (default, Nov 12 2018, 13:43:14) \n[GCC 5.4.0 20160609]\nMy squared numbers  [0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 100, 121, 144, 169, 196, 225, 256, 289, 324, 361]",
                    "output_type": "stream"
                }
            ],
            "execution_count": 1
        }
    ]
}