Practice_Markdown.ipynb

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    "colab": {
      "name": "Practice-Markdown.ipynb",
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/Macyatmacy/technical-discussion/blob/main/Practice_Markdown.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "B1Xez7yuuV48"
      },
      "source": [
        "## Practice Markdown"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yHF_AIm-uV5D"
      },
      "source": [
        "This notebook lets you experiment with producing repeatable technical documentation.  Use this notebook to do the following actions:\n",
        "\n",
        "* Create a code cell and print a Python Hello World statement:  `print(\"hello world\")`\n",
        "* Create a Markdown Cell and add a Title using `#` and then a statement using plain text.  You can looks at the source code for this cell to get an idea of how to use Markdown.\n",
        "* Take some ideas from the [Master Markdown Github Guide](https://guides.github.com/features/mastering-markdown/) and implement them here.\n",
        "* Download this notebook as a `.ipynb` file and check into a Github Project.  You can [see an example here](https://github.com/noahgift/duke-coursera-ccf-lab1/blob/main/Practice-Markdown.ipynb).\n",
        "* Open your notebook in Google Colab and save it into the same Github Project.  You can [see an example here](https://github.com/noahgift/duke-coursera-ccf-lab1/blob/main/Practice_Markdown_with_colab.ipynb).\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wCy1YlzNuV5D",
        "outputId": "fb07260d-4158-4c4f-e71d-8c59a2e9ea6a"
      },
      "source": [
        "print(\"hello world\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "hello world\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QmqatCV4uV5E"
      },
      "source": [
        "# List some GitHub Flavored Markdown as follows:"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LDBcQdP1uV5F"
      },
      "source": [
        "## javascript with syntax highlighting\n",
        "```javascript\n",
        "function fancyAlert(arg) {\n",
        "  if(arg) {\n",
        "    $.facebox({div:'#foo'})\n",
        "  }\n",
        "}\n",
        "```"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JV0fSNcVuV5F"
      },
      "source": [
        "## Python code without syntax highlighting\n",
        "def foo():\n",
        "    if not bar:\n",
        "        return True"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YOjSaALnuV5F"
      },
      "source": [
        "## Simply indent code by four spaces\n",
        "    function fancyAlert(arg) {\n",
        "      if(arg) {\n",
        "        $.facebox({div:'#foo'})\n",
        "      }\n",
        "    }"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EvakJl5KuV5G"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}