{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# 1. Telling Stories with Jupyter Notebooks" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Doug Blank
\n", "Bryn Mawr College
\n", "Department of Computer Science
\n", "

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "*For telling stories in Digital Humanities, Mathematics, Sciences, Art, and Computing.*" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1.1 Markdown\n", "\n", "Simple formatting including **bold**, *italics*, ~~strike through~~, lists, links, etc.\n", "\n", "1. Thing one\n", "1. Thing two\n", "1. Thing three\n", "\n", "> This is a quote from an important person. - Me" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1.1.1 HTML\n", "\n", "Can mix in HTML in the Markdown." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1.1.2 Images\n", "\n", "Including images:\n", "\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1.1.3 Equations" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### 1.1.3.1 Maxwell's Equations" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\\begin{align}\n", "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\ \\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n", "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n", "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0\n", "\\end{align}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### 1.1.3.2 Probability" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The probability of getting $k$ heads when flipping $n$ coins:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\\begin{equation*}\n", "P(E) = {n \\choose k} p^k (1-p)^{ n-k}\n", "\\end{equation*}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1.2 StoryMapJS" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "From [storymap.KnightLab.com](https://storymap.KnightLab.com)" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false, "format": "tab" }, "outputs": [ { "data": { "text/html": [ "\n", "
\n", "\n", "\n", "\n", "\n", "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%%html\n", "\n", "
\n", "\n", "\n", "\n", "\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Computing\n", "\n", "Biology simulation." ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "collapsed": true }, "outputs": [], "source": [ "%%simulation\n", "\n", "#right turns\n", "0 ***** -> forward(1) 1\n", "1 ***** -> turnRight(90) 2\n", "2 ***** -> forward(1) 3\n", "3 ***** -> turnRight(90) 4\n", "4 ***** -> forward(1) 5\n", "5 ***** -> turnRight(90) 6\n", "6 ***** -> forward(2) 7\n", "7 ***** -> turnRight(90) 8\n", "8 ***** -> forward(2) 9\n", "9 ***** -> turnRight(90) 10\n", "10 ***** -> forward(2) 11\n", "11 ***** -> turnRight(90) 12\n", "12 ***** -> forward(3) 13\n", "13 ***** -> turnRight(90) 14\n", "14 ***** -> forward(3) 15\n", "\n", "#left turns\n", "15 ***** -> turnLeft(90) 16\n", "16 ***** -> forward(1) 17\n", "17 ***** -> turnLeft(90) 18\n", "18 ***** -> forward(4) 19\n", "19 ***** -> turnLeft(90) 20\n", "20 ***** -> forward(4) 21\n", "21 ***** -> turnLeft(90) 22\n", "22 ***** -> forward(4) 23\n", "23 ***** -> turnLeft(90) 24\n", "24 ***** -> forward(5) 25\n", "25 ***** -> turnLeft(90) 26\n", "26 ***** -> forward(5) 27\n", "27 ***** -> turnLeft(90) 28\n", "28 ***** -> forward(5) 29\n", "29 ***** -> turnLeft(90) 30\n", "30 ***** -> forward(6) 31\n", "31 ***** -> turnLeft(90) 32\n", "32 ***** -> forward(6) 33\n", "33 ***** -> turnLeft(90) 34\n", "34 ***** -> forward(6) 35\n", "\n", "#right turns\n", "35 ***** -> turnRight(90) 36\n", "36 ***** -> forward(1) 37\n", "37 ***** -> turnRight(90) 38\n", "38 ***** -> forward(7) 39\n", "39 ***** -> turnRight(90) 40\n", "40 ***** -> forward(7) 41\n", "41 ***** -> turnRight(90) 42\n", "42 ***** -> forward(7) 43\n", "43 ***** -> turnRight(90) 44\n", "44 ***** -> forward(8) 45\n", "45 ***** -> turnRight(90) 46\n", "46 ***** -> forward(8) 47\n", "47 ***** -> turnRight(90) 48\n", "48 ***** -> forward(8) 49\n", "49 ***** -> turnRight(90) 50\n", "50 ***** -> forward(9) 51\n", "51 ***** -> turnRight(90) 52\n", "52 ***** -> forward(9) 53\n", "53 ***** -> turnRight(90) 54\n", "54 ***** -> forward(9) 55\n", "55 ***** -> turnRight(90) 56\n", "56 ***** -> forward(8) 57\n", "57 ***** -> forward(2) 58\n", "58 ***** -> turnRight(90) 59\n", "59 ***** -> forward(8) 60\n", "60 ***** -> forward(4) 61\n", "61 ***** -> turnRight(90) 62\n", "62 ***** -> forward(9) 63\n", "63 ***** -> forward(3) 64\n", "64 ***** -> turnRight(90) 65\n", "65 ***** -> forward(8) 66\n", "66 ***** -> forward(5) 67\n", "67 ***** -> turnRight(90) 68\n", "68 ***** -> forward(9) 69\n", "69 ***** -> forward(4) 70\n", "70 ***** -> turnRight(90) 71\n", "71 ***** -> forward(5) 72\n", "\n", "#turn left\n", "72 ***** -> turnLeft(90) 73\n", "73 ***** -> forward(9) 74\n", "74 ***** -> turnLeft(90) 75\n", "75 ***** -> forward(9) 76\n", "76 ***** -> forward(9) 77\n", "77 ***** -> forward(1) 1" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Computing and Visualization" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))\n", "df = pd.DataFrame(np.random.randn(1000, 4), index=ts.index,\n", " columns=['A', 'B', 'C', 'D']) \n", "df = df.cumsum()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": true }, "outputs": [], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" }, { "data": { "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXYAAAEMCAYAAADQ553CAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure()\n", "df.plot()\n", "plt.legend(loc='best')" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "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": "3.5.2" } }, "nbformat": 4, "nbformat_minor": 1 }