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