{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Markdown Cells"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Text can be added to Jupyter Notebooks using Markdown cells.  You can change the cell type to Markdown by using the `Cell` menu, the toolbar, or the key shortcut `m`.  Markdown is a popular markup language that is a superset of HTML. Its specification can be found here:\n",
    "\n",
    "<https://daringfireball.net/projects/markdown/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Markdown basics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can make text *italic* or **bold** by surrounding a block of text with a single or double * respectively"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can build nested itemized or enumerated lists:\n",
    "\n",
    "* One\n",
    "    - Sublist\n",
    "        - This\n",
    "  - Sublist\n",
    "        - That\n",
    "        - The other thing\n",
    "* Two\n",
    "  - Sublist\n",
    "* Three\n",
    "  - Sublist\n",
    "\n",
    "Now another list:\n",
    "\n",
    "1. Here we go\n",
    "    1. Sublist\n",
    "    2. Sublist\n",
    "2. There we go\n",
    "3. Now this"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can add horizontal rules:\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here is a blockquote:\n",
    "\n",
    "> Beautiful is better than ugly.\n",
    "> Explicit is better than implicit.\n",
    "> Simple is better than complex.\n",
    "> Complex is better than complicated.\n",
    "> Flat is better than nested.\n",
    "> Sparse is better than dense.\n",
    "> Readability counts.\n",
    "> Special cases aren't special enough to break the rules.\n",
    "> Although practicality beats purity.\n",
    "> Errors should never pass silently.\n",
    "> Unless explicitly silenced.\n",
    "> In the face of ambiguity, refuse the temptation to guess.\n",
    "> There should be one-- and preferably only one --obvious way to do it.\n",
    "> Although that way may not be obvious at first unless you're Dutch.\n",
    "> Now is better than never.\n",
    "> Although never is often better than *right* now.\n",
    "> If the implementation is hard to explain, it's a bad idea.\n",
    "> If the implementation is easy to explain, it may be a good idea.\n",
    "> Namespaces are one honking great idea -- let's do more of those!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And shorthand for links:\n",
    "\n",
    "[Jupyter's website](https://jupyter.org)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can use backslash \\ to generate literal characters which would otherwise have special meaning in the Markdown syntax.\n",
    "\n",
    "```\n",
    "\\*literal asterisks\\*\n",
    " *literal asterisks*\n",
    "```\n",
    "\n",
    "Use double backslash \\ \\ to generate the literal $ symbol."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Headings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can add headings by starting a line with one (or multiple) `#` followed by a space, as in the following example:\n",
    "\n",
    "```\n",
    "# Heading 1\n",
    "# Heading 2\n",
    "## Heading 2.1\n",
    "## Heading 2.2\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Embedded code"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can embed code meant for illustration instead of execution in Python:\n",
    "\n",
    "    def f(x):\n",
    "        \"\"\"a docstring\"\"\"\n",
    "        return x**2\n",
    "\n",
    "or other languages:\n",
    "\n",
    "    for (i=0; i<n; i++) {\n",
    "      printf(\"hello %d\\n\", i);\n",
    "      x += 4;\n",
    "    }"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## LaTeX equations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Courtesy of MathJax, you can include mathematical expressions both inline: \n",
    "$e^{i\\pi} + 1 = 0$  and displayed:\n",
    "\n",
    "\\begin{equation}\n",
    "e^x=\\sum_{i=0}^\\infty \\frac{1}{i!}x^i\n",
    "\\end{equation}\n",
    "\n",
    "Inline expressions can be added by surrounding the latex code with `$`:\n",
    "\n",
    "```\n",
    "$e^{i\\pi} + 1 = 0$\n",
    "```\n",
    "\n",
    "Expressions on their own line are surrounded by `\\begin{equation}` and `\\end{equation}`:\n",
    "\n",
    "```latex\n",
    "\\begin{equation}\n",
    "e^x=\\sum_{i=0}^\\infty \\frac{1}{i!}x^i\n",
    "\\end{equation}\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## GitHub flavored markdown"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Notebook webapp supports Github flavored markdown meaning that you can use triple backticks for code blocks:\n",
    "\n",
    "    ```python\n",
    "    print \"Hello World\"\n",
    "    ```\n",
    "\n",
    "    ```javascript\n",
    "    console.log(\"Hello World\")\n",
    "    ```\n",
    "\n",
    "Gives:\n",
    "\n",
    "```python\n",
    "print \"Hello World\"\n",
    "```\n",
    "\n",
    "```javascript\n",
    "console.log(\"Hello World\")\n",
    "```\n",
    "\n",
    "And a table like this: \n",
    "\n",
    "    | This | is   |\n",
    "    |------|------|\n",
    "    |   a  | table| \n",
    "\n",
    "A nice HTML Table:\n",
    "\n",
    "| This | is   |\n",
    "|------|------|\n",
    "|   a  | table| \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## General HTML"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Because Markdown is a superset of HTML you can even add things like HTML tables:\n",
    "\n",
    "<table>\n",
    "<tr>\n",
    "<th>Header 1</th>\n",
    "<th>Header 2</th>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>row 1, cell 1</td>\n",
    "<td>row 1, cell 2</td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td>row 2, cell 1</td>\n",
    "<td>row 2, cell 2</td>\n",
    "</tr>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Local files"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you have local files in your Notebook directory, you can refer to these files in Markdown cells directly:\n",
    "\n",
    "    [subdirectory/]<filename>\n",
    "\n",
    "For example, in the images folder, we have the Python logo:\n",
    "\n",
    "    <img src=\"../images/python_logo.svg\" />\n",
    "\n",
    "<img src=\"../images/python_logo.svg\" />\n",
    "\n",
    "and a video with the HTML5 video tag:\n",
    "\n",
    "    <video controls src=\"../images/animation.m4v\">animation</video>\n",
    "\n",
    "<video controls src=\"../images/animation.m4v\">animation</video>\n",
    "\n",
    "These do not embed the data into the notebook file, and require that the files exist when you are viewing the notebook."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Security of local files"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that this means that the Jupyter notebook server also acts as a generic file server\n",
    "for files inside the same tree as your notebooks.  Access is not granted outside the\n",
    "notebook folder so you have strict control over what files are visible, but for this\n",
    "reason it is highly recommended that you do not run the notebook server with a notebook\n",
    "directory at a high level in your filesystem (e.g. your home directory).\n",
    "\n",
    "When you run the notebook in a password-protected manner, local file access is restricted\n",
    "to authenticated users unless read-only views are active."
   ]
  },
  {
   "attachments": {
    "pycon-logo.jpg": {
     "image/jpeg": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Markdown attachments\n",
    "\n",
    "Since Jupyter notebook version 5.0, in addition to referencing external file you can attach a file to a markdown cell. \n",
    "To do so drag the file from in a markdown cell while editing it:\n",
    "\n",
    "![pycon-logo.jpg](attachment:pycon-logo.jpg)\n",
    "\n",
    "Files are stored in cell metadata and will be automatically scrubbed at save-time if not referenced. You can recognized attached images from other files by their url that starts with `attachment:`. For the image above:\n",
    "\n",
    "    ![pycon-logo.jpg](attachment:pycon-logo.jpg)\n",
    "    \n",
    "Keep in mind that attached files will increase the size of your notebook. \n",
    "\n",
    "You can manually edit the attachment by using the `View > Cell Toolbar > Attachment` menu, but you should not need to. "
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}