Un premier essaie avec jupyter

module2/exo1/toy_notebook_fr.ipynb

 {
- "cells": [],
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Titre du document"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "4"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "2+2 "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "10\n"
+     ]
+    }
+   ],
+   "source": [
+    " x = 10\n",
+    "print(x)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "20\n"
+     ]
+    }
+   ],
+   "source": [
+    "x = x + 10\n",
+    "print(x)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": true
+   },
+   "source": [
+    "## Petite exemple de completion"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "mu, sigma = 100, 15"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x = np.random.normal(loc=mu, scale=sigma, size=10000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYEAAAD8CAYAAACRkhiPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAEm5JREFUeJzt3X+s3fdd3/Hni6QNaWlUZ3aCa7uyh9xNSURTYrxs1abSMOIRVIc/KrkCYkQkoyjdCoING6QBmixlG9At0pLJ0BAHukYWtIvVJKTGMCqkNO5tlsZxUi+GWMmtTXzXihE2yWD3vT/OJ+rBOdf3l+899/rzfEhH3+95fz/f8/28Zfu+7vme7/k6VYUkqU/fMe4JSJLGxxCQpI4ZApLUMUNAkjpmCEhSxwwBSeqYISBJHTMEJKljhoAkdezKcU9gJqtXr66NGzeOexqStGKsXr2ap5566qmq2jbT2GUfAhs3bmRiYmLc05CkFSXJ6tmM83SQJHXMEJCkjhkCktQxQ0CSOmYISFLHDAFJ6pghIEkdMwQkqWOGgCR1bNl/Y1iaycbdj4/luCfvu2Msx5UupRnfCST5ziRHknw1ybEkv9rq1yY5lOTltlw1tM+eJCeSHE9y+1D9liRH27b7k2Rx2pIkzcZsTgedBT5cVe8Hbga2JbkV2A0crqrNwOH2nCQ3ADuAG4FtwANJrmiv9SCwC9jcHjPe3EiStHhmDIEa+Ov29G3tUcB2YH+r7wfubOvbgUer6mxVvQKcALYmWQtcU1VPV1UBjwztI0kag1l9MJzkiiTPAWeAQ1X1DHB9VZ0GaMvr2vB1wGtDu0+22rq2fmFdkjQmswqBqjpfVTcD6xn8Vn/TRYaPOs9fF6m/9QWSXUkmkkxMTU3NZoqSpHmY0yWiVfWXwP9gcC7/9XaKh7Y804ZNAhuGdlsPnGr19SPqo46zr6q2VNWWNWvWzGWKkqQ5mM3VQWuSvLutXw38IPA14CCwsw3bCTzW1g8CO5JclWQTgw+Aj7RTRm8kubVdFXTX0D6SpDGYzfcE1gL72xU+3wEcqKrPJ3kaOJDkbuBV4KMAVXUsyQHgReAccG9VnW+vdQ/wMHA18GR7SJLGZMYQqKrngQ+MqH8DuG2affYCe0fUJ4CLfZ4gSVpC3jZCkjpmCEhSxwwBSeqYISBJHTMEJKljhoAkdcwQkKSOGQKS1DFDQJI6ZghIUscMAUnqmCEgSR0zBCSpY4aAJHXMEJCkjhkCktQxQ0CSOmYISFLHDAFJ6pghIEkdMwQkqWOGgCR1zBCQpI4ZApLUMUNAkjo2Ywgk2ZDkj5O8lORYkk+0+q8k+XqS59rjh4f22ZPkRJLjSW4fqt+S5Gjbdn+SLE5bkqTZuHIWY84BP1dVzyZ5F/CVJIfatk9W1a8ND05yA7ADuBF4D/CHSd5XVeeBB4FdwJeAJ4BtwJOXphVJ0lzN+E6gqk5X1bNt/Q3gJWDdRXbZDjxaVWer6hXgBLA1yVrgmqp6uqoKeAS4c8EdSJLmbU6fCSTZCHwAeKaVPp7k+SQPJVnVauuA14Z2m2y1dW39wrokaUxmczoIgCTfBfw+8DNV9VdJHgT+HVBt+evATwGjzvPXReqjjrWLwWkj3vve9852itKS2rj78bEd++R9d4zt2Lq8zOqdQJK3MQiAT1fVZwGq6vWqOl9V3wJ+E9jahk8CG4Z2Xw+cavX1I+pvUVX7qmpLVW1Zs2bNXPqRJM3BbK4OCvAp4KWq+o2h+tqhYT8KvNDWDwI7klyVZBOwGThSVaeBN5Lc2l7zLuCxS9SHJGkeZnM66IPATwBHkzzXar8IfCzJzQxO6ZwEfhqgqo4lOQC8yODKonvblUEA9wAPA1czuCrIK4MkaYxmDIGq+lNGn89/4iL77AX2jqhPADfNZYKSpMXjN4YlqWOGgCR1zBCQpI4ZApLUMUNAkjpmCEhSxwwBSeqYISBJHTMEJKljhoAkdcwQkKSOGQKS1DFDQJI6ZghIUscMAUnqmCEgSR0zBCSpY4aAJHXMEJCkjhkCktQxQ0CSOmYISFLHDAFJ6pghIEkdMwQkqWMzhkCSDUn+OMlLSY4l+USrX5vkUJKX23LV0D57kpxIcjzJ7UP1W5IcbdvuT5LFaUuSNBtXzmLMOeDnqurZJO8CvpLkEPCTwOGqui/JbmA38AtJbgB2ADcC7wH+MMn7quo88CCwC/gS8ASwDXjyUjelpbdx9+PjnoKkeZjxnUBVna6qZ9v6G8BLwDpgO7C/DdsP3NnWtwOPVtXZqnoFOAFsTbIWuKaqnq6qAh4Z2keSNAZz+kwgyUbgA8AzwPVVdRoGQQFc14atA14b2m2y1da19Qvro46zK8lEkompqam5TFGSNAezDoEk3wX8PvAzVfVXFxs6olYXqb+1WLWvqrZU1ZY1a9bMdoqSpDmaVQgkeRuDAPh0VX22lV9vp3hoyzOtPglsGNp9PXCq1dePqEuSxmQ2VwcF+BTwUlX9xtCmg8DOtr4TeGyoviPJVUk2AZuBI+2U0RtJbm2vedfQPpKkMZjN1UEfBH4COJrkuVb7ReA+4ECSu4FXgY8CVNWxJAeAFxlcWXRvuzII4B7gYeBqBlcFeWWQJI3RjCFQVX/K6PP5ALdNs89eYO+I+gRw01wmKElaPH5jWJI6ZghIUscMAUnqmCEgSR0zBCSpY4aAJHXMEJCkjhkCktQxQ0CSOmYISFLHDAFJ6pghIEkdMwQkqWOGgCR1zBCQpI4ZApLUMUNAkjpmCEhSxwwBSeqYISBJHTMEJKljhoAkdcwQkKSOGQKS1LEZQyDJQ0nOJHlhqPYrSb6e5Ln2+OGhbXuSnEhyPMntQ/Vbkhxt2+5PkkvfjiRpLmbzTuBhYNuI+ier6ub2eAIgyQ3ADuDGts8DSa5o4x8EdgGb22PUa0qSltCMIVBVXwS+OcvX2w48WlVnq+oV4ASwNcla4JqqerqqCngEuHO+k5YkXRoL+Uzg40meb6eLVrXaOuC1oTGTrbaurV9YlySN0XxD4EHge4CbgdPAr7f6qPP8dZH6SEl2JZlIMjE1NTXPKUqSZjKvEKiq16vqfFV9C/hNYGvbNAlsGBq6HjjV6utH1Kd7/X1VtaWqtqxZs2Y+U5QkzcK8QqCd43/TjwJvXjl0ENiR5Kokmxh8AHykqk4DbyS5tV0VdBfw2ALmLUm6BK6caUCSzwAfAlYnmQR+GfhQkpsZnNI5Cfw0QFUdS3IAeBE4B9xbVefbS93D4Eqjq4En20OSNEYzhkBVfWxE+VMXGb8X2DuiPgHcNKfZSZIWld8YlqSOGQKS1DFDQJI6ZghIUscMAUnqmCEgSR0zBCSpY4aAJHXMEJCkjhkCktQxQ0CSOmYISFLHDAFJ6pghIEkdMwQkqWOGgCR1zBCQpI4ZApLUMUNAkjpmCEhSxwwBSerYleOegKS527j78bEc9+R9d4zluFo8vhOQpI4ZApLUMUNAkjo2YwgkeSjJmSQvDNWuTXIoycttuWpo254kJ5IcT3L7UP2WJEfbtvuT5NK3I0mai9m8E3gY2HZBbTdwuKo2A4fbc5LcAOwAbmz7PJDkirbPg8AuYHN7XPiakqQlNmMIVNUXgW9eUN4O7G/r+4E7h+qPVtXZqnoFOAFsTbIWuKaqnq6qAh4Z2keSNCbz/Uzg+qo6DdCW17X6OuC1oXGTrbaurV9YlySN0aX+YHjUef66SH30iyS7kkwkmZiamrpkk5Mk/V3zDYHX2yke2vJMq08CG4bGrQdOtfr6EfWRqmpfVW2pqi1r1qyZ5xQlSTOZbwgcBHa29Z3AY0P1HUmuSrKJwQfAR9opozeS3NquCrpraB9J0pjMeNuIJJ8BPgSsTjIJ/DJwH3Agyd3Aq8BHAarqWJIDwIvAOeDeqjrfXuoeBlcaXQ082R6SpDGaMQSq6mPTbLptmvF7gb0j6hPATXOanSRpUfmNYUnqmCEgSR0zBCSpY4aAJHXMEJCkjhkCktQxQ0CSOub/MXyZGdf/PStpZfKdgCR1zBCQpI4ZApLUMUNAkjpmCEhSxwwBSeqYISBJHTMEJKljhoAkdcwQkKSOGQKS1DFDQJI6ZghIUscMAUnqmCEgSR0zBCSpY4aAJHVsQSGQ5GSSo0meSzLRatcmOZTk5bZcNTR+T5ITSY4nuX2hk5ckLcyleCfwA1V1c1Vtac93A4erajNwuD0nyQ3ADuBGYBvwQJIrLsHxJUnztBing7YD+9v6fuDOofqjVXW2ql4BTgBbF+H4kqRZWmgIFPCFJF9JsqvVrq+q0wBteV2rrwNeG9p3stXeIsmuJBNJJqamphY4RUnSdK5c4P4frKpTSa4DDiX52kXGZkStRg2sqn3APoAtW7aMHCNJWrgFvROoqlNteQb4HIPTO68nWQvQlmfa8Elgw9Du64FTCzm+JGlh5h0CSd6Z5F1vrgM/BLwAHAR2tmE7gcfa+kFgR5KrkmwCNgNH5nt8SdLCLeR00PXA55K8+Tr/rar+IMmXgQNJ7gZeBT4KUFXHkhwAXgTOAfdW1fkFzV6StCDzDoGq+nPg/SPq3wBum2afvcDe+R5TknRp+Y1hSeqYISBJHTMEJKljhoAkdcwQkKSOGQKS1DFDQJI6ZghIUscMAUnqmCEgSR1b6K2kJXVk4+7Hx3Lck/fdMZbj9sB3ApLUMUNAkjpmCEhSxwwBSeqYISBJHTMEJKljXiK6CMZ1GZ0kzZXvBCSpY4aAJHXMEJCkjhkCktQxQ0CSOmYISFLHljwEkmxLcjzJiSS7l/r4kqRvW9LvCSS5AvgvwD8HJoEvJzlYVS8u5TwkrSzj/O7N5X4b66V+J7AVOFFVf15VfwM8Cmxf4jlIkpql/sbwOuC1oeeTwD9arIP5zV1JurilDoGMqNVbBiW7gF3t6V8n+QbwvxdzYktsNZdPP/ayfF1O/Yytl/z7RXnZxe5n1q+91CEwCWwYer4eOHXhoKraB+x783mSiarasvjTWxqXUz/2snxdTv1cTr3A8upnqT8T+DKwOcmmJG8HdgAHl3gOkqRmSd8JVNW5JB8HngKuAB6qqmNLOQdJ0rct+a2kq+oJ4Ik57rZv5iEryuXUj70sX5dTP5dTL7CM+knVWz6XlSR1wttGSFLHlmUIJLkiyf9M8vn2/Nokh5K83Jarxj3H2Ury7iS/l+RrSV5K8o9Xaj9JfjbJsSQvJPlMku9cSb0keSjJmSQvDNWmnX+SPe32JseT3D6eWY82TS//sf09ez7J55K8e2jbsu0FRvcztO3nk1SS1UO1ZdvPdL0k+ZdtvseS/Ieh+lh7WZYhAHwCeGno+W7gcFVtBg635yvFfwb+oKr+IfB+Bn2tuH6SrAP+FbClqm5i8MH+DlZWLw8D2y6ojZx/khsY9Hdj2+eBdtuT5eJh3trLIeCmqvpe4H8Be2BF9AKj+yHJBga3mXl1qLbc+3mYC3pJ8gMM7o7wvVV1I/BrrT72XpZdCCRZD9wB/NZQeTuwv63vB+5c6nnNR5JrgH8GfAqgqv6mqv6SFdoPgwsJrk5yJfAOBt/xWDG9VNUXgW9eUJ5u/tuBR6vqbFW9ApxgcNuTZWFUL1X1hao6155+icH3cGCZ9wLT/tkAfBL4N/zdL5Uu636m6eUe4L6qOtvGnGn1sfey7EIA+E8M/tC/NVS7vqpOA7TldeOY2Dz8fWAK+O12euu3kryTFdhPVX2dwW8vrwKngf9TVV9gBfZygenmP+oWJ+uWeG4L8VPAk219RfaS5CPA16vqqxdsWon9vA/4p0meSfInSb6/1cfey7IKgSQ/Apypqq+Mey6XyJXA9wEPVtUHgP/L8j5dMq12rnw7sAl4D/DOJD8+3lktqlnd4mQ5SvJLwDng02+WRgxb1r0keQfwS8C/HbV5RG1Z98PgZ8Eq4FbgXwMHkoRl0MuyCgHgg8BHkpxkcIfRDyf5XeD1JGsB2vLM9C+xrEwCk1X1THv+ewxCYSX284PAK1U1VVV/C3wW+CeszF6GTTf/Wd3iZLlJshP4EeDH6tvXf6/EXr6HwS8cX20/D9YDzyb5blZmP5PAZ2vgCIMzHatZBr0sqxCoqj1Vtb6qNjL4sOSPqurHGdxaYmcbthN4bExTnJOq+gvgtST/oJVuA15kZfbzKnBrkne032BuY/Ah90rsZdh08z8I7EhyVZJNwGbgyBjmN2tJtgG/AHykqv7f0KYV10tVHa2q66pqY/t5MAl8X/s3teL6Af478GGAJO8D3s7gJm/j76WqluUD+BDw+bb+9xhcufFyW1477vnNoY+bgQngeQZ/EVat1H6AXwW+BrwA/A5w1UrqBfgMg88z/pbBD5W7LzZ/Bqcj/gw4DvyLcc9/Fr2cYHB++bn2+K8roZfp+rlg+0lg9UroZ5o/m7cDv9v+7TwLfHi59OI3hiWpY8vqdJAkaWkZApLUMUNAkjpmCEhSxwwBSeqYISBJHTMEJKljhoAkdez/A08lFyyhaiD0AAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%matplotlib inline\n",
+    "plt.hist(x)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/json": {
+       "cell": {
+        "!": "OSMagics",
+        "HTML": "Other",
+        "SVG": "Other",
+        "bash": "Other",
+        "capture": "ExecutionMagics",
+        "debug": "ExecutionMagics",
+        "file": "Other",
+        "html": "DisplayMagics",
+        "javascript": "DisplayMagics",
+        "js": "DisplayMagics",
+        "latex": "DisplayMagics",
+        "markdown": "DisplayMagics",
+        "perl": "Other",
+        "prun": "ExecutionMagics",
+        "pypy": "Other",
+        "python": "Other",
+        "python2": "Other",
+        "python3": "Other",
+        "ruby": "Other",
+        "script": "ScriptMagics",
+        "sh": "Other",
+        "svg": "DisplayMagics",
+        "sx": "OSMagics",
+        "system": "OSMagics",
+        "time": "ExecutionMagics",
+        "timeit": "ExecutionMagics",
+        "writefile": "OSMagics"
+       },
+       "line": {
+        "alias": "OSMagics",
+        "alias_magic": "BasicMagics",
+        "autoawait": "AsyncMagics",
+        "autocall": "AutoMagics",
+        "automagic": "AutoMagics",
+        "autosave": "KernelMagics",
+        "bookmark": "OSMagics",
+        "cat": "Other",
+        "cd": "OSMagics",
+        "clear": "KernelMagics",
+        "colors": "BasicMagics",
+        "conda": "PackagingMagics",
+        "config": "ConfigMagics",
+        "connect_info": "KernelMagics",
+        "cp": "Other",
+        "debug": "ExecutionMagics",
+        "dhist": "OSMagics",
+        "dirs": "OSMagics",
+        "doctest_mode": "BasicMagics",
+        "ed": "Other",
+        "edit": "KernelMagics",
+        "env": "OSMagics",
+        "gui": "BasicMagics",
+        "hist": "Other",
+        "history": "HistoryMagics",
+        "killbgscripts": "ScriptMagics",
+        "ldir": "Other",
+        "less": "KernelMagics",
+        "lf": "Other",
+        "lk": "Other",
+        "ll": "Other",
+        "load": "CodeMagics",
+        "load_ext": "ExtensionMagics",
+        "loadpy": "CodeMagics",
+        "logoff": "LoggingMagics",
+        "logon": "LoggingMagics",
+        "logstart": "LoggingMagics",
+        "logstate": "LoggingMagics",
+        "logstop": "LoggingMagics",
+        "ls": "Other",
+        "lsmagic": "BasicMagics",
+        "lx": "Other",
+        "macro": "ExecutionMagics",
+        "magic": "BasicMagics",
+        "man": "KernelMagics",
+        "matplotlib": "PylabMagics",
+        "mkdir": "Other",
+        "more": "KernelMagics",
+        "mv": "Other",
+        "notebook": "BasicMagics",
+        "page": "BasicMagics",
+        "pastebin": "CodeMagics",
+        "pdb": "ExecutionMagics",
+        "pdef": "NamespaceMagics",
+        "pdoc": "NamespaceMagics",
+        "pfile": "NamespaceMagics",
+        "pinfo": "NamespaceMagics",
+        "pinfo2": "NamespaceMagics",
+        "pip": "PackagingMagics",
+        "popd": "OSMagics",
+        "pprint": "BasicMagics",
+        "precision": "BasicMagics",
+        "prun": "ExecutionMagics",
+        "psearch": "NamespaceMagics",
+        "psource": "NamespaceMagics",
+        "pushd": "OSMagics",
+        "pwd": "OSMagics",
+        "pycat": "OSMagics",
+        "pylab": "PylabMagics",
+        "qtconsole": "KernelMagics",
+        "quickref": "BasicMagics",
+        "recall": "HistoryMagics",
+        "rehashx": "OSMagics",
+        "reload_ext": "ExtensionMagics",
+        "rep": "Other",
+        "rerun": "HistoryMagics",
+        "reset": "NamespaceMagics",
+        "reset_selective": "NamespaceMagics",
+        "rm": "Other",
+        "rmdir": "Other",
+        "run": "ExecutionMagics",
+        "save": "CodeMagics",
+        "sc": "OSMagics",
+        "set_env": "OSMagics",
+        "store": "StoreMagics",
+        "sx": "OSMagics",
+        "system": "OSMagics",
+        "tb": "ExecutionMagics",
+        "time": "ExecutionMagics",
+        "timeit": "ExecutionMagics",
+        "unalias": "OSMagics",
+        "unload_ext": "ExtensionMagics",
+        "who": "NamespaceMagics",
+        "who_ls": "NamespaceMagics",
+        "whos": "NamespaceMagics",
+        "xdel": "NamespaceMagics",
+        "xmode": "BasicMagics"
+       }
+      },
+      "text/plain": [
+       "Available line magics:\n",
+       "%alias  %alias_magic  %autoawait  %autocall  %automagic  %autosave  %bookmark  %cat  %cd  %clear  %colors  %conda  %config  %connect_info  %cp  %debug  %dhist  %dirs  %doctest_mode  %ed  %edit  %env  %gui  %hist  %history  %killbgscripts  %ldir  %less  %lf  %lk  %ll  %load  %load_ext  %loadpy  %logoff  %logon  %logstart  %logstate  %logstop  %ls  %lsmagic  %lx  %macro  %magic  %man  %matplotlib  %mkdir  %more  %mv  %notebook  %page  %pastebin  %pdb  %pdef  %pdoc  %pfile  %pinfo  %pinfo2  %pip  %popd  %pprint  %precision  %prun  %psearch  %psource  %pushd  %pwd  %pycat  %pylab  %qtconsole  %quickref  %recall  %rehashx  %reload_ext  %rep  %rerun  %reset  %reset_selective  %rm  %rmdir  %run  %save  %sc  %set_env  %store  %sx  %system  %tb  %time  %timeit  %unalias  %unload_ext  %who  %who_ls  %whos  %xdel  %xmode\n",
+       "\n",
+       "Available cell magics:\n",
+       "%%!  %%HTML  %%SVG  %%bash  %%capture  %%debug  %%file  %%html  %%javascript  %%js  %%latex  %%markdown  %%perl  %%prun  %%pypy  %%python  %%python2  %%python3  %%ruby  %%script  %%sh  %%svg  %%sx  %%system  %%time  %%timeit  %%writefile\n",
+       "\n",
+       "Automagic is ON, % prefix IS NOT needed for line magics."
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%lsmagic"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Utilisation d'autre langages"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load_ext rpy2.ipython"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%R\n",
+    "plot(cars)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
  "metadata": {
   "kernelspec": {
    "display_name": "Python 3",
@@ -16,10 +338,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 2
 }
-