{ "cells": [ { "cell_type": "markdown", "source": [ "# **8.** Example" ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "slide" } } }, { "cell_type": "markdown", "source": [ "This is an example generated with Literate based on this\n", "source file: [`example.jl`](https://github.com/fredrikekre/Literate.jl/blob/master/examples/example.jl).\n", "You are seeing the\n", "generated notebook output. The corresponding markdown (HTML) output\n", "can be found here: [`example.html`](https://fredrikekre.github.io/Literate.jl/dev/generated/example.html),\n", "and the plain script output can be found here: [`example.jl`](./example.jl)." ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "slide" } } }, { "cell_type": "markdown", "source": [ "To view this notebook as a slideshow, install the [RISE plugin](https://rise.readthedocs.io/en/stable/installation.html)\n", "and press `alt-r` to start. Use spacebar to advance." ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "fragment" } } }, { "cell_type": "markdown", "source": [ "It is recommended to have the [source file](https://github.com/fredrikekre/Literate.jl/blob/master/examples/example.jl)\n", "available when reading this, to better understand how the syntax in the source file\n", "corresponds to the output you are seeing." ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "fragment" } } }, { "cell_type": "markdown", "source": [ "### Basic syntax\n", "The basic syntax for Literate is simple, lines starting with `# ` is interpreted\n", "as markdown, and all the other lines are interpreted as code. Here is some code:" ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "slide" } } }, { "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "2//5" }, "metadata": {}, "execution_count": 1 } ], "cell_type": "code", "source": [ "x = 1//3\n", "y = 2//5" ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "fragment" } }, "execution_count": 1 }, { "cell_type": "markdown", "source": [ "In markdown sections we can use markdown syntax. For example, we can\n", "write *text in italic font*, **text in bold font** and use\n", "[links](https://www.youtube.com/watch?v=dQw4w9WgXcQ)." ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "subslide" } } }, { "cell_type": "markdown", "source": [ "It is possible to filter out lines depending on the output using the\n", "`#md`, `#nb`, `#jl` and `#src` tags (see Filtering Lines):\n", "- This line starts with `#nb` and is thus only visible in the notebook output." ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "fragment" } } }, { "cell_type": "markdown", "source": [ "The source file is parsed in chunks of markdown and code. Starting a line\n", "with `#-` manually inserts a chunk break. For example, if we want to\n", "display the output of the following operations we may insert `#-` in\n", "between. These two code blocks will now end up in different\n", "`@example`-blocks in the markdown output, and two different notebook cells\n", "in the notebook output." ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "subslide" } } }, { "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "11//15" }, "metadata": {}, "execution_count": 2 } ], "cell_type": "code", "source": [ "x + y" ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "subslide" } }, "execution_count": 2 }, { "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "2//15" }, "metadata": {}, "execution_count": 3 } ], "cell_type": "code", "source": [ "x * y" ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "fragment" } }, "execution_count": 3 }, { "cell_type": "markdown", "source": [ "### Output Capturing\n", "Code chunks are by default placed in Documenter `@example` blocks in the generated\n", "markdown. This means that the output will be captured in a block when Documenter is\n", "building the docs. In notebooks the output is captured in output cells, if the\n", "`execute` keyword argument is set to true. Output to `stdout`/`stderr` is also\n", "captured." ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "slide" } } }, { "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "This string is printed to stdout.\n" ] }, { "output_type": "execute_result", "data": { "text/plain": "4-element Array{Int64,1}:\n 1\n 2\n 3\n 4" }, "metadata": {}, "execution_count": 4 } ], "cell_type": "code", "source": [ "function foo()\n", " println(\"This string is printed to stdout.\")\n", " return [1, 2, 3, 4]\n", "end\n", "\n", "foo()" ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "subslide" } }, "execution_count": 4 }, { "cell_type": "markdown", "source": [ "Just like in the REPL, outputs ending with a semicolon hides the output:" ], "metadata": {} }, { "outputs": [], "cell_type": "code", "source": [ "1 + 1;" ], "metadata": {}, "execution_count": 5 }, { "cell_type": "markdown", "source": [ "Both Documenter's `@example` block and notebooks can display images. Here is an example\n", "where we generate a simple plot using the\n", "[Plots.jl](https://github.com/JuliaPlots/Plots.jl) package" ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "subslide" } } }, { "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "Plot{Plots.GRBackend() n=2}", "image/png": 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"text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ], "image/svg+xml": [ "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, "metadata": {}, "execution_count": 6 } ], "cell_type": "code", "source": [ "using Plots\n", "x = range(0, stop=6π, length=1000)\n", "y1 = sin.(x)\n", "y2 = cos.(x)\n", "plot(x, [y1, y2])" ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "subslide" } }, "execution_count": 6 }, { "cell_type": "markdown", "source": [ "### Custom processing\n", "\n", "It is possible to give Literate custom pre- and post-processing functions.\n", "For example, here we insert a placeholder value `y = 321` in the source, and use a\n", "preprocessing function that replaces it with `y = 321` in the rendered output." ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "slide" } } }, { "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "123" }, "metadata": {}, "execution_count": 7 } ], "cell_type": "code", "source": [ "x = 123" ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "subslide" } }, "execution_count": 7 }, { "cell_type": "markdown", "source": [ "In this case the preprocessing function is defined by" ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "fragment" } } }, { "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "pre (generic function with 1 method)" }, "metadata": {}, "execution_count": 8 } ], "cell_type": "code", "source": [ "function pre(s::String)\n", " s = replace(s, \"x = 123\" => \"y = 321\")\n", " return s\n", "end" ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "fragment" } }, "execution_count": 8 }, { "cell_type": "markdown", "source": [ "### Documenter.jl interaction\n", "\n", "In the source file it is possible to use Documenter.jl style references,\n", "such as `@ref` and `@id`. These will be filtered out in the notebook output.\n", "For example, here is a link, but it is only\n", "visible as a link if you are reading the markdown output. We can also\n", "use equations:" ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "slide" } } }, { "cell_type": "markdown", "source": [ "$$\n", "\\int_\\Omega \\nabla v \\cdot \\nabla u\\ \\mathrm{d}\\Omega = \\int_\\Omega v f\\ \\mathrm{d}\\Omega\n", "$$" ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "fragment" } } }, { "cell_type": "markdown", "source": [ "using Documenters math syntax. Documenters syntax is automatically changed to\n", "`\\begin{equation} ... \\end{equation}` in the notebook output to display correctly." ], "metadata": { "name": "A slide ", "slideshow": { "slide_type": "fragment" } } }, { "cell_type": "markdown", "source": [ "---\n", "\n", "*This notebook was generated using [Literate.jl](https://github.com/fredrikekre/Literate.jl).*" ], "metadata": {} } ], "nbformat_minor": 3, "metadata": { "language_info": { "file_extension": ".jl", "mimetype": "application/julia", "name": "julia", "version": "1.5.1" }, "kernelspec": { "name": "julia-1.5", "display_name": "Julia 1.5.1", "language": "julia" } }, "nbformat": 4 }