{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "de566bfa-fd53-40c4-beb7-58c0bfbd0fe2"
    }
   },
   "source": [
    "# Märkdöwn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "9b1f4c93-2db9-4ab5-9b89-88c37de51214"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello World!\n"
     ]
    }
   ],
   "source": [
    "# code\n",
    "print(\"Hellö Wörld!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from IPython import display\n",
    "import jinja2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "81f505c0-8ea5-4e2c-bc4e-16780bb1a5a3"
    }
   },
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg height=\"40\" width=\"200\">\n",
       "    \n",
       "        <circle cx=\"11\" cy=\"5\" fill=\"red\" r=\"5\"/>\n",
       "    \n",
       "        <circle cx=\"22\" cy=\"5\" fill=\"red\" r=\"5\"/>\n",
       "    \n",
       "        <circle cx=\"33\" cy=\"5\" fill=\"red\" r=\"5\"/>\n",
       "    \n",
       "        <circle cx=\"44\" cy=\"5\" fill=\"red\" r=\"5\"/>\n",
       "    \n",
       "        <circle cx=\"55\" cy=\"5\" fill=\"red\" r=\"5\"/>\n",
       "    \n",
       "        <circle cx=\"66\" cy=\"5\" fill=\"red\" r=\"5\"/>\n",
       "    \n",
       "        <circle cx=\"77\" cy=\"5\" fill=\"red\" r=\"5\"/>\n",
       "    \n",
       "        <circle cx=\"88\" cy=\"5\" fill=\"red\" r=\"5\"/>\n",
       "    \n",
       "        <circle cx=\"99\" cy=\"5\" fill=\"red\" r=\"5\"/>\n",
       "    \n",
       "        <circle cx=\"110\" cy=\"5\" fill=\"red\" r=\"5\"/>\n",
       "    \n",
       "    <text y=\"24\">This is an SVG</text>\n",
       "</svg>"
      ],
      "text/plain": [
       "<IPython.core.display.SVG object>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "display.SVG(\n",
    "    data=jinja2.Template(\"\"\"\n",
    "<svg height=\"40\" width=\"200\">\n",
    "    {% for c in circles %}\n",
    "        <circle r=\"5\" cx=\"{{ (c + 1) * 11}}\" cy=\"5\" fill=\"red\"/>\n",
    "    {% endfor %}\n",
    "    <text y=\"24\">This is an SVG</text>\n",
    "</svg>\"\"\").render(circles=range(10))\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false,
    "nbpresent": {
     "id": "38b09402-53ec-4dca-bb61-e1b15bf39675"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Qti00bRrdcHzuuVCnTtzJpMxiqZUkSZKSqLwc/vhHyMmBTz+FWbPgppui3bOSks8ztZIk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\nXbOSJEkCx48lpbCVK+HSS+G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      "text/plain": [
       "<matplotlib.figure.Figure at 0x107ed2f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.array(range(-100, 100))/100\n",
    "y = np.sin((0.1 * x)**1)\n",
    "plt.figure(figsize=(16,9))\n",
    "plt.plot(x, y)\n",
    "plt.show()"
   ]
  }
 ],
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   "display_name": "Python 3",
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