diff --git a/module2/exo1/cars.csv b/module2/exo1/cars.csv
new file mode 100644
index 0000000000000000000000000000000000000000..34b3d46d117b536242806051d43130e558437b7c
--- /dev/null
+++ b/module2/exo1/cars.csv
@@ -0,0 +1,51 @@
+"","speed","dist"
+"1",4,2
+"2",4,10
+"3",7,4
+"4",7,22
+"5",8,16
+"6",9,10
+"7",10,18
+"8",10,26
+"9",10,34
+"10",11,17
+"11",11,28
+"12",12,14
+"13",12,20
+"14",12,24
+"15",12,28
+"16",13,26
+"17",13,34
+"18",13,34
+"19",13,46
+"20",14,26
+"21",14,36
+"22",14,60
+"23",14,80
+"24",15,20
+"25",15,26
+"26",15,54
+"27",16,32
+"28",16,40
+"29",17,32
+"30",17,40
+"31",17,50
+"32",18,42
+"33",18,56
+"34",18,76
+"35",18,84
+"36",19,36
+"37",19,46
+"38",19,68
+"39",20,32
+"40",20,48
+"41",20,52
+"42",20,56
+"43",20,64
+"44",22,66
+"45",23,54
+"46",24,70
+"47",24,92
+"48",24,93
+"49",24,120
+"50",25,85
diff --git a/module2/exo1/documents_notebooks_notebook_Jupyter_Python_R.ipynb b/module2/exo1/documents_notebooks_notebook_Jupyter_Python_R.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..59e591ce8b9a38ada1789875bdf8ae4ba183c17b
--- /dev/null
+++ b/module2/exo1/documents_notebooks_notebook_Jupyter_Python_R.ipynb
@@ -0,0 +1,389 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Notebook Python R\n",
+    "\n",
+    "## Import des données dans Python"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Unnamed: 0</th>\n",
+       "      <th>speed</th>\n",
+       "      <th>dist</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>4</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>7</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>8</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Unnamed: 0  speed  dist\n",
+       "0           1      4     2\n",
+       "1           2      4    10\n",
+       "2           3      7     4\n",
+       "3           4      7    22\n",
+       "4           5      8    16"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "# data_url = \"https://forge.scilab.org/index.php/p/rdataset/source/file/master/csv/datasets/cars.csv\"\n",
+    "data_url = \"cars.csv\"\n",
+    "df_python = pd.read_csv(data_url)\n",
+    "df_python.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Supression de la première colonne"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>speed</th>\n",
+       "      <th>dist</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>4</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>7</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>8</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   speed  dist\n",
+       "0      4     2\n",
+       "1      4    10\n",
+       "2      7     4\n",
+       "3      7    22\n",
+       "4      8    16"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_python.drop(df_python.columns[[0]], axis=1, inplace=True)\n",
+    "df_python.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Summary avec Python"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>speed</th>\n",
+       "      <th>dist</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>50.000000</td>\n",
+       "      <td>50.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>15.400000</td>\n",
+       "      <td>42.980000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>5.287644</td>\n",
+       "      <td>25.769377</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>12.000000</td>\n",
+       "      <td>26.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>15.000000</td>\n",
+       "      <td>36.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>19.000000</td>\n",
+       "      <td>56.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>25.000000</td>\n",
+       "      <td>120.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           speed        dist\n",
+       "count  50.000000   50.000000\n",
+       "mean   15.400000   42.980000\n",
+       "std     5.287644   25.769377\n",
+       "min     4.000000    2.000000\n",
+       "25%    12.000000   26.000000\n",
+       "50%    15.000000   36.000000\n",
+       "75%    19.000000   56.000000\n",
+       "max    25.000000  120.000000"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_python.describe()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Summary avec R"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from rpy2.robjects import pandas2ri\n",
+    "pandas2ri.activate()\n",
+    "from rpy2.robjects.packages import importr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "     speed           dist       \n",
+      " Min.   : 4.0   Min.   :  2.00  \n",
+      " 1st Qu.:12.0   1st Qu.: 26.00  \n",
+      " Median :15.0   Median : 36.00  \n",
+      " Mean   :15.4   Mean   : 42.98  \n",
+      " 3rd Qu.:19.0   3rd Qu.: 56.00  \n",
+      " Max.   :25.0   Max.   :120.00  \n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "base = importr('base')\n",
+    "print(base.summary(df_python))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "RRuntimeError",
+     "evalue": "Error in loadNamespace(name) : there is no package called ‘prettyR’\n",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mRRuntimeError\u001b[0m                             Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-9-d7480842a7ea>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mprettyR\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mimportr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'prettyR'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprettyR\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdescribe\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf_python\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/rpy2/robjects/packages.py\u001b[0m in \u001b[0;36mimportr\u001b[0;34m(name, lib_loc, robject_translations, signature_translation, suppress_messages, on_conflict, symbol_r2python, symbol_check_after, data)\u001b[0m\n\u001b[1;32m    451\u001b[0m     if _package_has_namespace(rname, \n\u001b[1;32m    452\u001b[0m                               _system_file(package = rname)):\n\u001b[0;32m--> 453\u001b[0;31m         \u001b[0menv\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_get_namespace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    454\u001b[0m         \u001b[0mversion\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_get_namespace_version\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    455\u001b[0m         \u001b[0mexported_names\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_get_namespace_exports\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mRRuntimeError\u001b[0m: Error in loadNamespace(name) : there is no package called ‘prettyR’\n"
+     ]
+    }
+   ],
+   "source": [
+    "prettyR = importr('prettyR')\n",
+    "print(prettyR.describe(df_python))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Liens utiles\n",
+    "\n",
+    "- http://rpy.sourceforge.net/rpy2/doc-2.4/html/introduction.html\n",
+    "- https://rpy2.readthedocs.io/en/version_2.8.x/"
+   ]
+  }
+ ],
+ "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": "3.6.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/module2/exo1/toy_notebook_en.ipynb b/module2/exo1/toy_notebook_en.ipynb
deleted file mode 100644
index 0bbbe371b01e359e381e43239412d77bf53fb1fb..0000000000000000000000000000000000000000
--- a/module2/exo1/toy_notebook_en.ipynb
+++ /dev/null
@@ -1,25 +0,0 @@
-{
- "cells": [],
- "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": "3.6.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
-
diff --git a/module2/exo1/toy_notebook_fr.ipynb b/module2/exo1/toy_notebook_fr.ipynb
index f34037be5142789cf81b3d3628cc2f9d4835122d..960879b63ce196787de71d97439d16f523e7cb10 100644
--- a/module2/exo1/toy_notebook_fr.ipynb
+++ b/module2/exo1/toy_notebook_fr.ipynb
@@ -96,21 +96,17 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
+   "display_name": "R",
+   "language": "R",
+   "name": "ir"
   },
   "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "codemirror_mode": "r",
+   "file_extension": ".r",
+   "mimetype": "text/x-r-source",
+   "name": "R",
+   "pygments_lexer": "r",
+   "version": "3.4.1"
   }
  },
  "nbformat": 4,