diff --git a/module2/exo4/exercice.ipynb b/module2/exo4/exercice.ipynb
index a9d5a1ecd05db368e904803313ccf05fb9f58b1c..a79fc88673a6bc67ffc93a839c7f03aedbdeb40f 100644
--- a/module2/exo4/exercice.ipynb
+++ b/module2/exo4/exercice.ipynb
@@ -16,28 +16,457 @@
    "metadata": {
     "scrolled": true
    },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/home/jovyan/work/module2/exo4\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "mypath=os.getcwd()\n",
+    "print(mypath)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "C'est là qu'on est"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "hideOutput": true
+   },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "'/home/jovyan/work/module2/exo4'"
+       "['exercice_python_en.org',\n",
+       " 'exercice_fr.ipynb',\n",
+       " 'exercice.ipynb',\n",
+       " 'exercice_fr.Rmd',\n",
+       " 'exercice_python_fr.org',\n",
+       " 'exercice_R_en.org',\n",
+       " 'exercice_R_fr.org',\n",
+       " 'exercice_en.Rmd',\n",
+       " 'exercice_en.ipynb',\n",
+       " '.ipynb_checkpoints',\n",
+       " 'donnees.csv']"
       ]
      },
-     "execution_count": 1,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "pwd"
+    "os.listdir(mypath)"
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 3,
    "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/home/jovyan/work/module2/exo4/*.csv\n"
+     ]
+    }
+   ],
    "source": [
-    "C'est là qu'on est"
+    "print(mypath + \"/*.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['donnees.csv']\n"
+     ]
+    }
+   ],
+   "source": [
+    "import glob\n",
+    "csvlist = [f for f in glob.glob(\"*.csv\")]\n",
+    "print(csvlist)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "donnees.csv\n"
+     ]
+    }
+   ],
+   "source": [
+    "filename=csvlist[0]\n",
+    "print(filename)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "scrolled": true
+   },
+   "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>date</th>\n",
+       "      <th>sport</th>\n",
+       "      <th>durée</th>\n",
+       "      <th>FC moy</th>\n",
+       "      <th>FC max</th>\n",
+       "      <th>intensité ressentie</th>\n",
+       "      <th>Unnamed: 7</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>-----</td>\n",
+       "      <td>-----</td>\n",
+       "      <td>------</td>\n",
+       "      <td>------</td>\n",
+       "      <td>-------</td>\n",
+       "      <td>-------------------</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>18/03/2020</td>\n",
+       "      <td>vélo</td>\n",
+       "      <td>1:09:16</td>\n",
+       "      <td>128</td>\n",
+       "      <td>176</td>\n",
+       "      <td>facile</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>19/03/2020</td>\n",
+       "      <td>vélo</td>\n",
+       "      <td>2:29:58</td>\n",
+       "      <td>151</td>\n",
+       "      <td>188</td>\n",
+       "      <td>mod+</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>20/03/2020</td>\n",
+       "      <td>vélo</td>\n",
+       "      <td>0:44:05</td>\n",
+       "      <td>144</td>\n",
+       "      <td>176</td>\n",
+       "      <td>facile</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>25/03/2020</td>\n",
+       "      <td>crossfit</td>\n",
+       "      <td>0:51:25</td>\n",
+       "      <td>128</td>\n",
+       "      <td>182</td>\n",
+       "      <td>mod+</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Unnamed: 0         date       sport      durée    FC moy    FC max   \\\n",
+       "0         NaN         -----      -----      ------   ------    -------   \n",
+       "1         NaN   18/03/2020        vélo    1:09:16       128       176    \n",
+       "2         NaN   19/03/2020        vélo    2:29:58       151       188    \n",
+       "3         NaN   20/03/2020        vélo    0:44:05       144       176    \n",
+       "4         NaN   25/03/2020    crossfit    0:51:25       128       182    \n",
+       "\n",
+       "    intensité ressentie   Unnamed: 7  \n",
+       "0   -------------------          NaN  \n",
+       "1                facile          NaN  \n",
+       "2                mod+            NaN  \n",
+       "3                facile          NaN  \n",
+       "4                  mod+          NaN  "
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "variable = pd.read_csv(r\"/home/jovyan/work/module2/exo4/donnees.csv\",sep=';')\n",
+    "variable.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "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>date</th>\n",
+       "      <th>sport</th>\n",
+       "      <th>durée</th>\n",
+       "      <th>FC moy</th>\n",
+       "      <th>FC max</th>\n",
+       "      <th>intensité ressentie</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>18/03/2020</td>\n",
+       "      <td>vélo</td>\n",
+       "      <td>1:09:16</td>\n",
+       "      <td>128</td>\n",
+       "      <td>176</td>\n",
+       "      <td>facile</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>19/03/2020</td>\n",
+       "      <td>vélo</td>\n",
+       "      <td>2:29:58</td>\n",
+       "      <td>151</td>\n",
+       "      <td>188</td>\n",
+       "      <td>mod+</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>20/03/2020</td>\n",
+       "      <td>vélo</td>\n",
+       "      <td>0:44:05</td>\n",
+       "      <td>144</td>\n",
+       "      <td>176</td>\n",
+       "      <td>facile</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>25/03/2020</td>\n",
+       "      <td>crossfit</td>\n",
+       "      <td>0:51:25</td>\n",
+       "      <td>128</td>\n",
+       "      <td>182</td>\n",
+       "      <td>mod+</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>26/03/2020</td>\n",
+       "      <td>vélo</td>\n",
+       "      <td>0:45:29</td>\n",
+       "      <td>162</td>\n",
+       "      <td>193</td>\n",
+       "      <td>mod++</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         date      sport     durée   FC moy   FC max  intensité ressentie \n",
+       "0  18/03/2020       vélo   1:09:16       128      176              facile \n",
+       "1  19/03/2020       vélo   2:29:58       151      188              mod+   \n",
+       "2  20/03/2020       vélo   0:44:05       144      176              facile \n",
+       "3  25/03/2020   crossfit   0:51:25       128      182                mod+ \n",
+       "4  26/03/2020       vélo   0:45:29       162      193               mod++ "
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "variable = pd.read_csv(r\"/home/jovyan/work/module2/exo4/donnees.csv\",sep=';',header=0,usecols=[1,2,3,4,5,6],skiprows=[1],skipinitialspace=1)\n",
+    "variable.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "hideOutput": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[['18/03/2020 ' 'vélo ' '1:09:16 ' 128 176 'facile ']\n",
+      " ['19/03/2020 ' 'vélo ' '2:29:58 ' 151 188 'mod+   ']\n",
+      " ['20/03/2020 ' 'vélo ' '0:44:05 ' 144 176 'facile ']\n",
+      " ['25/03/2020 ' 'crossfit ' '0:51:25 ' 128 182 'mod+ ']\n",
+      " ['26/03/2020 ' 'vélo ' '0:45:29 ' 162 193 'mod++ ']\n",
+      " ['30/03/2020 ' 'cap ' '0:39:04 ' 158 189 'mod++ ']\n",
+      " ['30/03/2020 ' 'crossfit ' '0:29:14 ' 130 169 'mod+ ']\n",
+      " ['31/03/2020 ' 'vélo ' '0:41:52 ' 156 181 'mod+ ']\n",
+      " ['01/04/2020 ' 'vélo ' '0:39:06 ' 168 190 'mod++ ']]\n"
+     ]
+    }
+   ],
+   "source": [
+    "mat=variable.values\n",
+    "print(mat)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "9\n"
+     ]
+    }
+   ],
+   "source": [
+    "[nrows,ncols]=mat.shape\n",
+    "print(nrows)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['18/03/2020 ', '19/03/2020 ', '20/03/2020 ', '25/03/2020 ',\n",
+       "       '26/03/2020 ', '30/03/2020 ', '30/03/2020 ', '31/03/2020 ',\n",
+       "       '01/04/2020 '], dtype=object)"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mat[:,0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'18/03/2020 '"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mat[0,0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "datetime.datetime(2020, 3, 18, 0, 0)"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from datetime import datetime, date, time, timezone\n",
+    "datetime.strptime(mat[0,0],\"%d/%m/%Y \")"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {