diff --git a/module-1/lab-list-comprehensions/your-code/main.ipynb b/module-1/lab-list-comprehensions/your-code/main.ipynb
index c5931c41f..c9ea67ea2 100644
--- a/module-1/lab-list-comprehensions/your-code/main.ipynb
+++ b/module-1/lab-list-comprehensions/your-code/main.ipynb
@@ -11,7 +11,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -29,10 +29,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print([x for x in range (1,51)])"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -43,10 +53,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52, 54, 56, 58, 60, 62, 64, 66, 68, 70, 72, 74, 76, 78, 80, 82, 84, 86, 88, 90, 92, 94, 96, 98, 100, 102, 104, 106, 108, 110, 112, 114, 116, 118, 120, 122, 124, 126, 128, 130, 132, 134, 136, 138, 140, 142, 144, 146, 148, 150, 152, 154, 156, 158, 160, 162, 164, 166, 168, 170, 172, 174, 176, 178, 180, 182, 184, 186, 188, 190, 192, 194, 196, 198, 200]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print([x for x in range (2,201) if x%2==0])"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -57,7 +77,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -75,10 +95,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0.84062117, 0.48006452, 0.7876326, 0.77109654, 0.44409793, 0.09014516, 0.81835917, 0.87645456, 0.7066597, 0.09610873, 0.41247947, 0.57433389, 0.29960807, 0.42315023, 0.34452557, 0.4751035, 0.17003563, 0.46843998, 0.92796258, 0.69814654, 0.41290051, 0.19561071, 0.16284783, 0.97016248, 0.71725408, 0.87702738, 0.31244595, 0.76615487, 0.20754036, 0.57871812, 0.07214068, 0.40356048, 0.12149553, 0.53222417, 0.9976855, 0.12536346, 0.80930099, 0.50962849, 0.94555126, 0.33364763]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print([x[i] for x in a for i in range(len(x))])"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -89,10 +119,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0.84062117, 0.7876326, 0.77109654, 0.81835917, 0.87645456, 0.7066597, 0.57433389, 0.92796258, 0.69814654, 0.97016248, 0.71725408, 0.87702738, 0.76615487, 0.57871812, 0.53222417, 0.9976855, 0.80930099, 0.50962849, 0.94555126]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print([x[i] for x in a for i in range(len(x)) if x[i]>=0.5])"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -103,7 +143,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -125,10 +165,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0.55867166, 0.06210792, 0.08147297, 0.82579068, 0.91512478, 0.06833034, 0.05440634, 0.65857693, 0.30296619, 0.06769833, 0.96031863, 0.51293743, 0.09143215, 0.71893382, 0.45850679, 0.58256464, 0.59005654, 0.56266457, 0.71600294, 0.87392666, 0.11434044, 0.8694668, 0.65669313, 0.10708681, 0.07529684, 0.46470767, 0.47984544, 0.65368638, 0.14901286, 0.23760688]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print([x[i][j] for x in b for i in range(len(x)) for j in range(len(x[i]))])"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -139,10 +189,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0.08147297, 0.06833034, 0.30296619, 0.45850679, 0.11434044, 0.10708681, 0.47984544, 0.23760688]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print([x[i][j] for x in b for i in range(len(x)) for j in range(len(x[i])) if j==(len(x[i])-1) and x[i][j]<=0.5])"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -153,10 +213,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['sample_file_0.csv', 'sample_file_1.csv', 'sample_file_2.csv', 'sample_file_3.csv', 'sample_file_4.csv', 'sample_file_5.csv', 'sample_file_6.csv', 'sample_file_7.csv', 'sample_file_8.csv', 'sample_file_9.csv']\n"
+     ]
+    }
+   ],
+   "source": [
+    "print([x for x in os.listdir('../data') if x.endswith('.csv')])"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -167,13 +237,345 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "df=pd.concat([pd.read_csv('../data/'+x) for x in os.listdir('../data') if x.endswith('.csv')])"
+   ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 14,
+   "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>0</th>\n",
+       "      <th>1</th>\n",
+       "      <th>2</th>\n",
+       "      <th>3</th>\n",
+       "      <th>4</th>\n",
+       "      <th>5</th>\n",
+       "      <th>6</th>\n",
+       "      <th>7</th>\n",
+       "      <th>8</th>\n",
+       "      <th>9</th>\n",
+       "      <th>10</th>\n",
+       "      <th>11</th>\n",
+       "      <th>12</th>\n",
+       "      <th>13</th>\n",
+       "      <th>14</th>\n",
+       "      <th>15</th>\n",
+       "      <th>16</th>\n",
+       "      <th>17</th>\n",
+       "      <th>18</th>\n",
+       "      <th>19</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.734751</td>\n",
+       "      <td>0.195362</td>\n",
+       "      <td>0.734309</td>\n",
+       "      <td>0.598184</td>\n",
+       "      <td>0.763433</td>\n",
+       "      <td>0.263434</td>\n",
+       "      <td>0.868066</td>\n",
+       "      <td>0.058092</td>\n",
+       "      <td>0.753502</td>\n",
+       "      <td>0.587513</td>\n",
+       "      <td>0.311608</td>\n",
+       "      <td>0.178356</td>\n",
+       "      <td>0.182922</td>\n",
+       "      <td>0.147631</td>\n",
+       "      <td>0.391188</td>\n",
+       "      <td>0.816049</td>\n",
+       "      <td>0.749068</td>\n",
+       "      <td>0.293260</td>\n",
+       "      <td>0.937828</td>\n",
+       "      <td>0.880858</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.772607</td>\n",
+       "      <td>0.445391</td>\n",
+       "      <td>0.249642</td>\n",
+       "      <td>0.787922</td>\n",
+       "      <td>0.598583</td>\n",
+       "      <td>0.827238</td>\n",
+       "      <td>0.624126</td>\n",
+       "      <td>0.601524</td>\n",
+       "      <td>0.688753</td>\n",
+       "      <td>0.338870</td>\n",
+       "      <td>0.081595</td>\n",
+       "      <td>0.471474</td>\n",
+       "      <td>0.267443</td>\n",
+       "      <td>0.453351</td>\n",
+       "      <td>0.800716</td>\n",
+       "      <td>0.045749</td>\n",
+       "      <td>0.683793</td>\n",
+       "      <td>0.389789</td>\n",
+       "      <td>0.016787</td>\n",
+       "      <td>0.503695</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.226428</td>\n",
+       "      <td>0.268764</td>\n",
+       "      <td>0.694262</td>\n",
+       "      <td>0.622335</td>\n",
+       "      <td>0.063843</td>\n",
+       "      <td>0.122683</td>\n",
+       "      <td>0.815625</td>\n",
+       "      <td>0.584542</td>\n",
+       "      <td>0.032594</td>\n",
+       "      <td>0.589775</td>\n",
+       "      <td>0.764350</td>\n",
+       "      <td>0.650973</td>\n",
+       "      <td>0.565705</td>\n",
+       "      <td>0.691784</td>\n",
+       "      <td>0.265223</td>\n",
+       "      <td>0.739031</td>\n",
+       "      <td>0.560394</td>\n",
+       "      <td>0.334802</td>\n",
+       "      <td>0.517694</td>\n",
+       "      <td>0.646110</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.362748</td>\n",
+       "      <td>0.495430</td>\n",
+       "      <td>0.113876</td>\n",
+       "      <td>0.594149</td>\n",
+       "      <td>0.612522</td>\n",
+       "      <td>0.625204</td>\n",
+       "      <td>0.864050</td>\n",
+       "      <td>0.260279</td>\n",
+       "      <td>0.528873</td>\n",
+       "      <td>0.168043</td>\n",
+       "      <td>0.715929</td>\n",
+       "      <td>0.677014</td>\n",
+       "      <td>0.175735</td>\n",
+       "      <td>0.632370</td>\n",
+       "      <td>0.926715</td>\n",
+       "      <td>0.085675</td>\n",
+       "      <td>0.120525</td>\n",
+       "      <td>0.141746</td>\n",
+       "      <td>0.771144</td>\n",
+       "      <td>0.489660</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.033415</td>\n",
+       "      <td>0.340433</td>\n",
+       "      <td>0.464971</td>\n",
+       "      <td>0.363737</td>\n",
+       "      <td>0.025815</td>\n",
+       "      <td>0.434129</td>\n",
+       "      <td>0.415163</td>\n",
+       "      <td>0.892210</td>\n",
+       "      <td>0.381701</td>\n",
+       "      <td>0.415264</td>\n",
+       "      <td>0.790801</td>\n",
+       "      <td>0.696930</td>\n",
+       "      <td>0.819751</td>\n",
+       "      <td>0.944029</td>\n",
+       "      <td>0.869965</td>\n",
+       "      <td>0.041723</td>\n",
+       "      <td>0.819140</td>\n",
+       "      <td>0.676051</td>\n",
+       "      <td>0.109349</td>\n",
+       "      <td>0.872947</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.276827</td>\n",
+       "      <td>0.260054</td>\n",
+       "      <td>0.942397</td>\n",
+       "      <td>0.113187</td>\n",
+       "      <td>0.781355</td>\n",
+       "      <td>0.475740</td>\n",
+       "      <td>0.152061</td>\n",
+       "      <td>0.250324</td>\n",
+       "      <td>0.147078</td>\n",
+       "      <td>0.162984</td>\n",
+       "      <td>0.977025</td>\n",
+       "      <td>0.509619</td>\n",
+       "      <td>0.593212</td>\n",
+       "      <td>0.911839</td>\n",
+       "      <td>0.257645</td>\n",
+       "      <td>0.386457</td>\n",
+       "      <td>0.696932</td>\n",
+       "      <td>0.069162</td>\n",
+       "      <td>0.952291</td>\n",
+       "      <td>0.286542</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.995885</td>\n",
+       "      <td>0.158381</td>\n",
+       "      <td>0.244274</td>\n",
+       "      <td>0.962163</td>\n",
+       "      <td>0.651900</td>\n",
+       "      <td>0.930665</td>\n",
+       "      <td>0.577190</td>\n",
+       "      <td>0.087914</td>\n",
+       "      <td>0.960261</td>\n",
+       "      <td>0.580840</td>\n",
+       "      <td>0.194616</td>\n",
+       "      <td>0.661459</td>\n",
+       "      <td>0.674085</td>\n",
+       "      <td>0.049326</td>\n",
+       "      <td>0.785803</td>\n",
+       "      <td>0.315645</td>\n",
+       "      <td>0.495355</td>\n",
+       "      <td>0.232135</td>\n",
+       "      <td>0.549324</td>\n",
+       "      <td>0.572232</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.641917</td>\n",
+       "      <td>0.821055</td>\n",
+       "      <td>0.392437</td>\n",
+       "      <td>0.782617</td>\n",
+       "      <td>0.510762</td>\n",
+       "      <td>0.428320</td>\n",
+       "      <td>0.017324</td>\n",
+       "      <td>0.680720</td>\n",
+       "      <td>0.340412</td>\n",
+       "      <td>0.462513</td>\n",
+       "      <td>0.785776</td>\n",
+       "      <td>0.251949</td>\n",
+       "      <td>0.032847</td>\n",
+       "      <td>0.995700</td>\n",
+       "      <td>0.816563</td>\n",
+       "      <td>0.735692</td>\n",
+       "      <td>0.435998</td>\n",
+       "      <td>0.430411</td>\n",
+       "      <td>0.531757</td>\n",
+       "      <td>0.489528</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.806532</td>\n",
+       "      <td>0.569258</td>\n",
+       "      <td>0.148175</td>\n",
+       "      <td>0.809987</td>\n",
+       "      <td>0.459632</td>\n",
+       "      <td>0.735762</td>\n",
+       "      <td>0.730664</td>\n",
+       "      <td>0.934502</td>\n",
+       "      <td>0.080322</td>\n",
+       "      <td>0.763502</td>\n",
+       "      <td>0.398504</td>\n",
+       "      <td>0.027637</td>\n",
+       "      <td>0.409665</td>\n",
+       "      <td>0.942846</td>\n",
+       "      <td>0.133256</td>\n",
+       "      <td>0.157158</td>\n",
+       "      <td>0.929446</td>\n",
+       "      <td>0.402791</td>\n",
+       "      <td>0.685976</td>\n",
+       "      <td>0.246594</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.311185</td>\n",
+       "      <td>0.501165</td>\n",
+       "      <td>0.365979</td>\n",
+       "      <td>0.782807</td>\n",
+       "      <td>0.776795</td>\n",
+       "      <td>0.797199</td>\n",
+       "      <td>0.791946</td>\n",
+       "      <td>0.847157</td>\n",
+       "      <td>0.771811</td>\n",
+       "      <td>0.233944</td>\n",
+       "      <td>0.522344</td>\n",
+       "      <td>0.053030</td>\n",
+       "      <td>0.208551</td>\n",
+       "      <td>0.824354</td>\n",
+       "      <td>0.588567</td>\n",
+       "      <td>0.604341</td>\n",
+       "      <td>0.232964</td>\n",
+       "      <td>0.229109</td>\n",
+       "      <td>0.022881</td>\n",
+       "      <td>0.479022</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          0         1         2         3         4         5         6  \\\n",
+       "0  0.734751  0.195362  0.734309  0.598184  0.763433  0.263434  0.868066   \n",
+       "1  0.772607  0.445391  0.249642  0.787922  0.598583  0.827238  0.624126   \n",
+       "2  0.226428  0.268764  0.694262  0.622335  0.063843  0.122683  0.815625   \n",
+       "3  0.362748  0.495430  0.113876  0.594149  0.612522  0.625204  0.864050   \n",
+       "4  0.033415  0.340433  0.464971  0.363737  0.025815  0.434129  0.415163   \n",
+       "0  0.276827  0.260054  0.942397  0.113187  0.781355  0.475740  0.152061   \n",
+       "1  0.995885  0.158381  0.244274  0.962163  0.651900  0.930665  0.577190   \n",
+       "2  0.641917  0.821055  0.392437  0.782617  0.510762  0.428320  0.017324   \n",
+       "3  0.806532  0.569258  0.148175  0.809987  0.459632  0.735762  0.730664   \n",
+       "4  0.311185  0.501165  0.365979  0.782807  0.776795  0.797199  0.791946   \n",
+       "\n",
+       "          7         8         9        10        11        12        13  \\\n",
+       "0  0.058092  0.753502  0.587513  0.311608  0.178356  0.182922  0.147631   \n",
+       "1  0.601524  0.688753  0.338870  0.081595  0.471474  0.267443  0.453351   \n",
+       "2  0.584542  0.032594  0.589775  0.764350  0.650973  0.565705  0.691784   \n",
+       "3  0.260279  0.528873  0.168043  0.715929  0.677014  0.175735  0.632370   \n",
+       "4  0.892210  0.381701  0.415264  0.790801  0.696930  0.819751  0.944029   \n",
+       "0  0.250324  0.147078  0.162984  0.977025  0.509619  0.593212  0.911839   \n",
+       "1  0.087914  0.960261  0.580840  0.194616  0.661459  0.674085  0.049326   \n",
+       "2  0.680720  0.340412  0.462513  0.785776  0.251949  0.032847  0.995700   \n",
+       "3  0.934502  0.080322  0.763502  0.398504  0.027637  0.409665  0.942846   \n",
+       "4  0.847157  0.771811  0.233944  0.522344  0.053030  0.208551  0.824354   \n",
+       "\n",
+       "         14        15        16        17        18        19  \n",
+       "0  0.391188  0.816049  0.749068  0.293260  0.937828  0.880858  \n",
+       "1  0.800716  0.045749  0.683793  0.389789  0.016787  0.503695  \n",
+       "2  0.265223  0.739031  0.560394  0.334802  0.517694  0.646110  \n",
+       "3  0.926715  0.085675  0.120525  0.141746  0.771144  0.489660  \n",
+       "4  0.869965  0.041723  0.819140  0.676051  0.109349  0.872947  \n",
+       "0  0.257645  0.386457  0.696932  0.069162  0.952291  0.286542  \n",
+       "1  0.785803  0.315645  0.495355  0.232135  0.549324  0.572232  \n",
+       "2  0.816563  0.735692  0.435998  0.430411  0.531757  0.489528  \n",
+       "3  0.133256  0.157158  0.929446  0.402791  0.685976  0.246594  \n",
+       "4  0.588567  0.604341  0.232964  0.229109  0.022881  0.479022  "
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head(10)"
+   ]
+  },
+  {
+   "cell_type": "raw",
    "metadata": {},
    "source": [
     "### 8. Use a list comprehension to select and print the column numbers for columns from the data set whose median is less than 0.48."
@@ -181,10 +583,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 81,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['2', '9', '12', '14', '17']\n"
+     ]
+    }
+   ],
+   "source": [
+    "print([x for x in df.columns if df[x].median()<0.48])"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -195,10 +607,356 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 83,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "df['20']=[x-0.1 for x in df['19']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "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>0</th>\n",
+       "      <th>1</th>\n",
+       "      <th>2</th>\n",
+       "      <th>3</th>\n",
+       "      <th>4</th>\n",
+       "      <th>5</th>\n",
+       "      <th>6</th>\n",
+       "      <th>7</th>\n",
+       "      <th>8</th>\n",
+       "      <th>9</th>\n",
+       "      <th>...</th>\n",
+       "      <th>11</th>\n",
+       "      <th>12</th>\n",
+       "      <th>13</th>\n",
+       "      <th>14</th>\n",
+       "      <th>15</th>\n",
+       "      <th>16</th>\n",
+       "      <th>17</th>\n",
+       "      <th>18</th>\n",
+       "      <th>19</th>\n",
+       "      <th>20</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.734751</td>\n",
+       "      <td>0.195362</td>\n",
+       "      <td>0.734309</td>\n",
+       "      <td>0.598184</td>\n",
+       "      <td>0.763433</td>\n",
+       "      <td>0.263434</td>\n",
+       "      <td>0.868066</td>\n",
+       "      <td>0.058092</td>\n",
+       "      <td>0.753502</td>\n",
+       "      <td>0.587513</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.178356</td>\n",
+       "      <td>0.182922</td>\n",
+       "      <td>0.147631</td>\n",
+       "      <td>0.391188</td>\n",
+       "      <td>0.816049</td>\n",
+       "      <td>0.749068</td>\n",
+       "      <td>0.293260</td>\n",
+       "      <td>0.937828</td>\n",
+       "      <td>0.880858</td>\n",
+       "      <td>0.780858</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.772607</td>\n",
+       "      <td>0.445391</td>\n",
+       "      <td>0.249642</td>\n",
+       "      <td>0.787922</td>\n",
+       "      <td>0.598583</td>\n",
+       "      <td>0.827238</td>\n",
+       "      <td>0.624126</td>\n",
+       "      <td>0.601524</td>\n",
+       "      <td>0.688753</td>\n",
+       "      <td>0.338870</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.471474</td>\n",
+       "      <td>0.267443</td>\n",
+       "      <td>0.453351</td>\n",
+       "      <td>0.800716</td>\n",
+       "      <td>0.045749</td>\n",
+       "      <td>0.683793</td>\n",
+       "      <td>0.389789</td>\n",
+       "      <td>0.016787</td>\n",
+       "      <td>0.503695</td>\n",
+       "      <td>0.403695</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.226428</td>\n",
+       "      <td>0.268764</td>\n",
+       "      <td>0.694262</td>\n",
+       "      <td>0.622335</td>\n",
+       "      <td>0.063843</td>\n",
+       "      <td>0.122683</td>\n",
+       "      <td>0.815625</td>\n",
+       "      <td>0.584542</td>\n",
+       "      <td>0.032594</td>\n",
+       "      <td>0.589775</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.650973</td>\n",
+       "      <td>0.565705</td>\n",
+       "      <td>0.691784</td>\n",
+       "      <td>0.265223</td>\n",
+       "      <td>0.739031</td>\n",
+       "      <td>0.560394</td>\n",
+       "      <td>0.334802</td>\n",
+       "      <td>0.517694</td>\n",
+       "      <td>0.646110</td>\n",
+       "      <td>0.546110</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.362748</td>\n",
+       "      <td>0.495430</td>\n",
+       "      <td>0.113876</td>\n",
+       "      <td>0.594149</td>\n",
+       "      <td>0.612522</td>\n",
+       "      <td>0.625204</td>\n",
+       "      <td>0.864050</td>\n",
+       "      <td>0.260279</td>\n",
+       "      <td>0.528873</td>\n",
+       "      <td>0.168043</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.677014</td>\n",
+       "      <td>0.175735</td>\n",
+       "      <td>0.632370</td>\n",
+       "      <td>0.926715</td>\n",
+       "      <td>0.085675</td>\n",
+       "      <td>0.120525</td>\n",
+       "      <td>0.141746</td>\n",
+       "      <td>0.771144</td>\n",
+       "      <td>0.489660</td>\n",
+       "      <td>0.389660</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.033415</td>\n",
+       "      <td>0.340433</td>\n",
+       "      <td>0.464971</td>\n",
+       "      <td>0.363737</td>\n",
+       "      <td>0.025815</td>\n",
+       "      <td>0.434129</td>\n",
+       "      <td>0.415163</td>\n",
+       "      <td>0.892210</td>\n",
+       "      <td>0.381701</td>\n",
+       "      <td>0.415264</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.696930</td>\n",
+       "      <td>0.819751</td>\n",
+       "      <td>0.944029</td>\n",
+       "      <td>0.869965</td>\n",
+       "      <td>0.041723</td>\n",
+       "      <td>0.819140</td>\n",
+       "      <td>0.676051</td>\n",
+       "      <td>0.109349</td>\n",
+       "      <td>0.872947</td>\n",
+       "      <td>0.772947</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.276827</td>\n",
+       "      <td>0.260054</td>\n",
+       "      <td>0.942397</td>\n",
+       "      <td>0.113187</td>\n",
+       "      <td>0.781355</td>\n",
+       "      <td>0.475740</td>\n",
+       "      <td>0.152061</td>\n",
+       "      <td>0.250324</td>\n",
+       "      <td>0.147078</td>\n",
+       "      <td>0.162984</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.509619</td>\n",
+       "      <td>0.593212</td>\n",
+       "      <td>0.911839</td>\n",
+       "      <td>0.257645</td>\n",
+       "      <td>0.386457</td>\n",
+       "      <td>0.696932</td>\n",
+       "      <td>0.069162</td>\n",
+       "      <td>0.952291</td>\n",
+       "      <td>0.286542</td>\n",
+       "      <td>0.186542</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.995885</td>\n",
+       "      <td>0.158381</td>\n",
+       "      <td>0.244274</td>\n",
+       "      <td>0.962163</td>\n",
+       "      <td>0.651900</td>\n",
+       "      <td>0.930665</td>\n",
+       "      <td>0.577190</td>\n",
+       "      <td>0.087914</td>\n",
+       "      <td>0.960261</td>\n",
+       "      <td>0.580840</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.661459</td>\n",
+       "      <td>0.674085</td>\n",
+       "      <td>0.049326</td>\n",
+       "      <td>0.785803</td>\n",
+       "      <td>0.315645</td>\n",
+       "      <td>0.495355</td>\n",
+       "      <td>0.232135</td>\n",
+       "      <td>0.549324</td>\n",
+       "      <td>0.572232</td>\n",
+       "      <td>0.472232</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.641917</td>\n",
+       "      <td>0.821055</td>\n",
+       "      <td>0.392437</td>\n",
+       "      <td>0.782617</td>\n",
+       "      <td>0.510762</td>\n",
+       "      <td>0.428320</td>\n",
+       "      <td>0.017324</td>\n",
+       "      <td>0.680720</td>\n",
+       "      <td>0.340412</td>\n",
+       "      <td>0.462513</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.251949</td>\n",
+       "      <td>0.032847</td>\n",
+       "      <td>0.995700</td>\n",
+       "      <td>0.816563</td>\n",
+       "      <td>0.735692</td>\n",
+       "      <td>0.435998</td>\n",
+       "      <td>0.430411</td>\n",
+       "      <td>0.531757</td>\n",
+       "      <td>0.489528</td>\n",
+       "      <td>0.389528</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.806532</td>\n",
+       "      <td>0.569258</td>\n",
+       "      <td>0.148175</td>\n",
+       "      <td>0.809987</td>\n",
+       "      <td>0.459632</td>\n",
+       "      <td>0.735762</td>\n",
+       "      <td>0.730664</td>\n",
+       "      <td>0.934502</td>\n",
+       "      <td>0.080322</td>\n",
+       "      <td>0.763502</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.027637</td>\n",
+       "      <td>0.409665</td>\n",
+       "      <td>0.942846</td>\n",
+       "      <td>0.133256</td>\n",
+       "      <td>0.157158</td>\n",
+       "      <td>0.929446</td>\n",
+       "      <td>0.402791</td>\n",
+       "      <td>0.685976</td>\n",
+       "      <td>0.246594</td>\n",
+       "      <td>0.146594</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.311185</td>\n",
+       "      <td>0.501165</td>\n",
+       "      <td>0.365979</td>\n",
+       "      <td>0.782807</td>\n",
+       "      <td>0.776795</td>\n",
+       "      <td>0.797199</td>\n",
+       "      <td>0.791946</td>\n",
+       "      <td>0.847157</td>\n",
+       "      <td>0.771811</td>\n",
+       "      <td>0.233944</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.053030</td>\n",
+       "      <td>0.208551</td>\n",
+       "      <td>0.824354</td>\n",
+       "      <td>0.588567</td>\n",
+       "      <td>0.604341</td>\n",
+       "      <td>0.232964</td>\n",
+       "      <td>0.229109</td>\n",
+       "      <td>0.022881</td>\n",
+       "      <td>0.479022</td>\n",
+       "      <td>0.379022</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>10 rows × 21 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          0         1         2         3         4         5         6  \\\n",
+       "0  0.734751  0.195362  0.734309  0.598184  0.763433  0.263434  0.868066   \n",
+       "1  0.772607  0.445391  0.249642  0.787922  0.598583  0.827238  0.624126   \n",
+       "2  0.226428  0.268764  0.694262  0.622335  0.063843  0.122683  0.815625   \n",
+       "3  0.362748  0.495430  0.113876  0.594149  0.612522  0.625204  0.864050   \n",
+       "4  0.033415  0.340433  0.464971  0.363737  0.025815  0.434129  0.415163   \n",
+       "0  0.276827  0.260054  0.942397  0.113187  0.781355  0.475740  0.152061   \n",
+       "1  0.995885  0.158381  0.244274  0.962163  0.651900  0.930665  0.577190   \n",
+       "2  0.641917  0.821055  0.392437  0.782617  0.510762  0.428320  0.017324   \n",
+       "3  0.806532  0.569258  0.148175  0.809987  0.459632  0.735762  0.730664   \n",
+       "4  0.311185  0.501165  0.365979  0.782807  0.776795  0.797199  0.791946   \n",
+       "\n",
+       "          7         8         9  ...        11        12        13        14  \\\n",
+       "0  0.058092  0.753502  0.587513  ...  0.178356  0.182922  0.147631  0.391188   \n",
+       "1  0.601524  0.688753  0.338870  ...  0.471474  0.267443  0.453351  0.800716   \n",
+       "2  0.584542  0.032594  0.589775  ...  0.650973  0.565705  0.691784  0.265223   \n",
+       "3  0.260279  0.528873  0.168043  ...  0.677014  0.175735  0.632370  0.926715   \n",
+       "4  0.892210  0.381701  0.415264  ...  0.696930  0.819751  0.944029  0.869965   \n",
+       "0  0.250324  0.147078  0.162984  ...  0.509619  0.593212  0.911839  0.257645   \n",
+       "1  0.087914  0.960261  0.580840  ...  0.661459  0.674085  0.049326  0.785803   \n",
+       "2  0.680720  0.340412  0.462513  ...  0.251949  0.032847  0.995700  0.816563   \n",
+       "3  0.934502  0.080322  0.763502  ...  0.027637  0.409665  0.942846  0.133256   \n",
+       "4  0.847157  0.771811  0.233944  ...  0.053030  0.208551  0.824354  0.588567   \n",
+       "\n",
+       "         15        16        17        18        19        20  \n",
+       "0  0.816049  0.749068  0.293260  0.937828  0.880858  0.780858  \n",
+       "1  0.045749  0.683793  0.389789  0.016787  0.503695  0.403695  \n",
+       "2  0.739031  0.560394  0.334802  0.517694  0.646110  0.546110  \n",
+       "3  0.085675  0.120525  0.141746  0.771144  0.489660  0.389660  \n",
+       "4  0.041723  0.819140  0.676051  0.109349  0.872947  0.772947  \n",
+       "0  0.386457  0.696932  0.069162  0.952291  0.286542  0.186542  \n",
+       "1  0.315645  0.495355  0.232135  0.549324  0.572232  0.472232  \n",
+       "2  0.735692  0.435998  0.430411  0.531757  0.489528  0.389528  \n",
+       "3  0.157158  0.929446  0.402791  0.685976  0.246594  0.146594  \n",
+       "4  0.604341  0.232964  0.229109  0.022881  0.479022  0.379022  \n",
+       "\n",
+       "[10 rows x 21 columns]"
+      ]
+     },
+     "execution_count": 84,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head(10)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -209,10 +967,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 178,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "values_between=[df.iloc[i][x] for x in df for i in range(len(df[x])) if 0.7<df.iloc[i][x]<0.75]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 179,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0.7347510852128797, 0.7025657075988269, 0.7132714209987683, 0.7280006345208285, 0.7258310816144985, 0.736029494090402, 0.7472962776291713, 0.7343092314001137, 0.7088042362916818, 0.7358941798147411, 0.7365416322783028, 0.7329024831531535, 0.7023481768180954, 0.7133695725698419, 0.7476323136755818, 0.7008930873050235, 0.7357618655811269, 0.7013619954419494, 0.7268545088531969, 0.7032248108904495, 0.7150799992177622, 0.7173964318670598, 0.7306642125209889, 0.7383982036983279, 0.7124169515124726, 0.71223975981198, 0.7298115760258881, 0.7051334608870933, 0.7321333453970806, 0.7178166705957928, 0.7374449181749492, 0.7159290265157912, 0.7294980584878026, 0.7215147068185102, 0.7045750112959754, 0.7111584953876777, 0.7209375615129192, 0.7396561066717461, 0.7303553716733908, 0.7133690799930356, 0.7390312927111312, 0.7356923324968598, 0.7078738356977186, 0.7321533684342264, 0.7490680818183477, 0.7130781095091867, 0.7085098152301276, 0.7264121114538001, 0.7196096371031628, 0.7393833032570581, 0.7244863338885654, 0.7033930409580709, 0.7274869207330491, 0.7376946446827494]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(values_between)"
+   ]
   }
  ],
  "metadata": {
@@ -231,9 +1008,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.0"
+   "version": "3.7.3"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/module-1/lab-resolving-git-conflicts/your-code/about-me.md b/module-1/lab-resolving-git-conflicts/your-code/about-me.md
index 30a999d50..0ad92d2d3 100644
--- a/module-1/lab-resolving-git-conflicts/your-code/about-me.md
+++ b/module-1/lab-resolving-git-conflicts/your-code/about-me.md
@@ -1,7 +1,8 @@
-Lorem ipsum dolor sit amet, consectetur adipiscing elit. Quisque viverra laoreet lorem et dapibus. Integer auctor dignissim egestas. Ut id purus neque. Pellentesque imperdiet lacus in libero laoreet, at tempus felis tristique. Cras fermentum erat a dui vulputate gravida. Nulla aliquet nisi interdum nulla pretium, ac vestibulum diam congue. Class aptent taciti sociosqu ad litora torquent per conubia nostra, per inceptos himenaeos. Phasellus lacus risus, sodales vitae viverra quis, maximus ac ipsum. Sed consequat viverra mattis. Curabitur iaculis varius mollis.
+# Who am I?
+My name is Zahid Sánchez, I'm from Mexico City and I'm a full-time student at UNAM. Last semester I took a basic data course and learned about some of the tools that python offers.
 
-Ut porttitor iaculis tellus bibendum euismod. Morbi porta, ante nec tempus porta, felis mi faucibus lacus, sed tristique purus nunc sed est. Aenean pulvinar urna ut lacus interdum aliquam. Pellentesque sit amet magna accumsan, sagittis metus a, volutpat velit. Mauris vitae ex vehicula, posuere nisi sed, sagittis nunc. Ut scelerisque, mi non tristique tristique, mi enim luctus nunc, eu mattis sem quam auctor nunc. Donec lobortis tellus eget blandit ultricies. Vivamus euismod metus eget leo blandit, at malesuada magna efficitur. Praesent sodales faucibus mi, ullamcorper ultrices orci. Vivamus maximus malesuada massa, nec placerat leo feugiat vel. Nam vitae eleifend enim. Nullam interdum ipsum velit, vitae faucibus lectus blandit euismod.
+# Why am I here?
+When I was about to take the data course last semester a friend of mine mentioned Ironhack was a better option, so I looked it up and decided to apply. I'm looking forward to learning more about machine learning.
 
-Suspendisse ut malesuada ex. Nulla ultricies nisl et nisi rhoncus sollicitudin. Vestibulum maximus iaculis ligula, nec commodo nunc ullamcorper nec. Duis quis condimentum sapien. Cras vestibulum interdum felis eu auctor. Quisque semper, magna at dapibus faucibus, felis risus semper ligula, id aliquam lectus ligula vel nisi. In hac habitasse platea dictumst. Donec arcu sapien, suscipit ac dictum et, imperdiet id tortor. Maecenas ornare sodales interdum. Mauris dictum felis eu eros vestibulum cursus. Phasellus accumsan, turpis ut malesuada sollicitudin, augue leo venenatis ante, vel convallis tellus diam sit amet lacus. Aenean eu mauris eros. Praesent ante lacus, gravida sit amet tellus nec, laoreet ultrices lacus. Integer commodo semper vestibulum. Fusce felis massa, consectetur facilisis rutrum nec, pulvinar et nisi.
-
-Morbi fermentum ultricies tortor, vehicula ultrices eros elementum a. Duis ornare aliquam facilisis. Proin aliquam tincidunt odio vitae dignissim. Sed malesuada lacinia massa, nec blandit urna auctor elementum. Duis auctor non tortor in consequat. Mauris id vestibulum risus. In eget erat sed lacus efficitur viverra sed eu est. Aliquam interdum consequat molestie. Aliquam metus nisi, blandit non semper ut, blandit vel leo. Cras dictum turpis erat, sed iaculis ligula facilisis dapibus. Aliquam posuere dignissim fermentum. Praesent at neque sit amet lectus ornare iaculis. Curabitur id urna quis lorem varius ultrices eu sit amet sapien. Curabitur maximus volutpat suscipit. Proin imperdiet elementum lacus a eleifend. Sed tempor lacus posuere diam vehicula iaculis.
+# What will I do after the bootcamp?
+I don't have anything concrete about the job I'm looking for after the bootcamp as long as I use what I learned. My goal for the future to get a job in Silicon Valley. 
diff --git a/module-1/lab-string-operations/your-code/challenge-1.ipynb b/module-1/lab-string-operations/your-code/challenge-1.ipynb
index 43020841b..7654608c0 100644
--- a/module-1/lab-string-operations/your-code/challenge-1.ipynb
+++ b/module-1/lab-string-operations/your-code/challenge-1.ipynb
@@ -15,7 +15,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 148,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -33,12 +33,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 149,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Durante un tiempo no estuvo segura de si su marido era su marido.\n"
+     ]
+    }
+   ],
    "source": [
     "str_list = ['Durante', 'un', 'tiempo', 'no', 'estuvo', 'segura', 'de', 'si', 'su', 'marido', 'era', 'su', 'marido']\n",
-    "# Your code here:\n"
+    "print(' '.join(str_list)+'.')"
    ]
   },
   {
@@ -50,12 +58,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 150,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Grocery list: Bananas, bread, Brownie Mix, broccoli.\n"
+     ]
+    }
+   ],
    "source": [
     "food_list = ['Bananas', 'Chocolate', 'bread', 'diapers', 'Ice Cream', 'Brownie Mix', 'broccoli']\n",
-    "# Your code here:\n"
+    "print('Grocery list: '+', '.join([x for x in food_list if x.startswith('b') or x.startswith('B')])+'.')"
    ]
   },
   {
@@ -69,9 +85,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 151,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The area of the circle with radius: 4.50 is: 63.62\n"
+     ]
+    }
+   ],
    "source": [
     "import math\n",
     "\n",
@@ -87,10 +111,10 @@
     "    # Sample input: 5.0\n",
     "    # Sample Output: 78.53981633\n",
     "    \n",
-    "    # Your code here:\n",
-    "    \n",
-    "    \n",
-    "# Your output string here:"
+    "    return pi*x**2\n",
+    "\n",
+    "# Your output string here:\n",
+    "print(string1, '{:.2f}'.format(radius), string2, '{:.2f}'.format(area(radius)))"
    ]
   },
   {
@@ -106,7 +130,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 192,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -119,8 +143,30 @@
     "To say that for destruction ice\n",
     "Is also great\n",
     "And would suffice.\"\"\"\n",
-    "\n",
-    "# Your code here:\n"
+    "# We use replace if we want to count I’ve as two words(Erase # next line)\n",
+    "#poem=poem.replace('I’ve', 'I have')\n",
+    "poem_words=[x.strip('.'',''\\n').lower() for x in poem.split()]\n",
+    "# We used .lower to prevent 'To' and 'to' from generating 2 different keys since it is the same word\n",
+    "freq={}\n",
+    "for word in poem_words:\n",
+    "    freq[word]=poem_words.count(word)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 193,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'some': 2, 'say': 3, 'the': 1, 'world': 1, 'will': 1, 'end': 1, 'in': 2, 'fire': 2, 'ice': 2, 'from': 1, 'what': 1, 'i’ve': 1, 'tasted': 1, 'of': 2, 'desire': 1, 'i': 3, 'hold': 1, 'with': 1, 'those': 1, 'who': 1, 'favor': 1, 'but': 1, 'if': 1, 'it': 1, 'had': 1, 'to': 2, 'perish': 1, 'twice': 1, 'think': 1, 'know': 1, 'enough': 1, 'hate': 1, 'that': 1, 'for': 1, 'destruction': 1, 'is': 1, 'also': 1, 'great': 1, 'and': 1, 'would': 1, 'suffice': 1}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(freq)"
    ]
   },
   {
@@ -132,7 +178,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 194,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -158,7 +204,24 @@
     "In the morning glad I see; \n",
     "My foe outstretched beneath the tree.\"\"\"\n",
     "\n",
-    "# Your code here:\n"
+    "poem_whitelist=list(set([x.strip('.'',''\\n'';').lower() for x in poem.split() if x not in blacklist]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 195,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['wiles', 'had', 'grow', 'with', 'friend', 'waterd', 'that', 'not', 'smiles', 'both', 'when', 'i', 'he', 'foe:', 'wrath', 'sunned', 'grew', 'outstretched', 'fears', 'garden', 'pole', 'till', 'shine', 'did', 'veild', 'beneath', 'stole', 'tree', 'angry', 'mine', 'told', 'bore', 'into', 'day', 'foe', 'tears:', 'was', 'glad', 'in', 'see', 'beheld', 'morning', 'my', 'bright', 'and', '&', 'end', 'soft', 'knew', 'deceitful', 'apple', 'night']\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(poem_whitelist)"
    ]
   },
   {
@@ -172,14 +235,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 196,
    "metadata": {},
    "outputs": [],
    "source": [
     "poem = \"\"\"The apparition of these faces in the crowd;\n",
     "Petals on a wet, black bough.\"\"\"\n",
     "\n",
-    "# Your code here:\n"
+    "upper_char=[x for x in poem if x.isupper()]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 197,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['T', 'P']\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(upper_char)"
    ]
   },
   {
@@ -191,13 +271,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 198,
    "metadata": {},
    "outputs": [],
    "source": [
     "data = ['123abc', 'abc123', 'JohnSmith1', 'ABBY4', 'JANE']\n",
     "\n",
-    "# Your code here:\n"
+    "number_string=[x for x in data if re.search('\\d',x)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 199,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['123abc', 'abc123', 'JohnSmith1', 'ABBY4']\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(number_string)"
    ]
   },
   {
@@ -213,12 +310,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 200,
    "metadata": {},
    "outputs": [],
    "source": [
     "data = ['123abc', 'abc123', 'JohnSmith1', 'ABBY4', 'JANE']\n",
-    "# Your code here:\n"
+    "\n",
+    "low_number_string=[x for x in data if re.search('\\d'and'[a-z]',x)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 201,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['123abc', 'abc123', 'JohnSmith1']"
+      ]
+     },
+     "execution_count": 201,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "low_number_string"
    ]
   }
  ],
@@ -238,9 +356,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.2"
+   "version": "3.7.3"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/module-1/lab-string-operations/your-code/challenge-2.ipynb b/module-1/lab-string-operations/your-code/challenge-2.ipynb
index 87c5656ef..d84bc0fba 100644
--- a/module-1/lab-string-operations/your-code/challenge-2.ipynb
+++ b/module-1/lab-string-operations/your-code/challenge-2.ipynb
@@ -72,7 +72,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -88,13 +88,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
-    "corpus = []\n",
-    "\n",
-    "# Write your code here\n"
+    "corpus=[]\n",
+    "for text in docs:\n",
+    "    with open(text, \"r\") as f:\n",
+    "        corpus.extend(f.readlines())"
    ]
   },
   {
@@ -106,9 +107,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['Ironhack is cool.', 'I love Ironhack.', 'I am a student at Ironhack.']\n"
+     ]
+    }
+   ],
    "source": [
     "print(corpus)"
    ]
@@ -136,11 +145,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Write your code here"
+    "corpus=[x.strip('.').lower() for x in corpus]"
    ]
   },
   {
@@ -152,7 +161,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -172,11 +181,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Write your code here"
+    "for string in corpus:\n",
+    "    for word in string.split():\n",
+    "        if word not in bag_of_words:\n",
+    "            bag_of_words.append(word)"
    ]
   },
   {
@@ -192,9 +204,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['ironhack', 'is', 'cool', 'i', 'love', 'am', 'a', 'student', 'at']\n"
+     ]
+    }
+   ],
    "source": [
     "print(bag_of_words)"
    ]
@@ -208,13 +228,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
     "term_freq = []\n",
     "\n",
-    "# Write your code here"
+    "for string in corpus:\n",
+    "    term_freq.append([string.split().count(word) for word in bag_of_words])"
    ]
   },
   {
@@ -228,9 +249,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[1, 1, 1, 0, 0, 0, 0, 0, 0], [1, 0, 0, 1, 1, 0, 0, 0, 0], [1, 0, 0, 1, 0, 1, 1, 1, 1]]\n"
+     ]
+    }
+   ],
    "source": [
     "print(term_freq)"
    ]
@@ -278,13 +307,96 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stop_words = ['all', 'six', 'less', 'being', 'indeed', 'over', 'move', 'anyway', 'fifty', 'four', 'not', 'own', 'through', 'yourselves', 'go', 'where', 'mill', 'only', 'find', 'before', 'one', 'whose', 'system', 'how', 'somewhere', 'with', 'thick', 'show', 'had', 'enough', 'should', 'to', 'must', 'whom', 'seeming', 'under', 'ours', 'has', 'might', 'thereafter', 'latterly', 'do', 'them', 'his', 'around', 'than', 'get', 'very', 'de', 'none', 'cannot', 'every', 'whether', 'they', 'front', 'during', 'thus', 'now', 'him', 'nor', 'name', 'several', 'hereafter', 'always', 'who', 'cry', 'whither', 'this', 'someone', 'either', 'each', 'become', 'thereupon', 'sometime', 'side', 'two', 'therein', 'twelve', 'because', 'often', 'ten', 'our', 'eg', 'some', 'back', 'up', 'namely', 'towards', 'are', 'further', 'beyond', 'ourselves', 'yet', 'out', 'even', 'will', 'what', 'still', 'for', 'bottom', 'mine', 'since', 'please', 'forty', 'per', 'its', 'everything', 'behind', 'un', 'above', 'between', 'it', 'neither', 'seemed', 'ever', 'across', 'she', 'somehow', 'be', 'we', 'full', 'never', 'sixty', 'however', 'here', 'otherwise', 'were', 'whereupon', 'nowhere', 'although', 'found', 'alone', 're', 'along', 'fifteen', 'by', 'both', 'about', 'last', 'would', 'anything', 'via', 'many', 'could', 'thence', 'put', 'against', 'keep', 'etc', 'amount', 'became', 'ltd', 'hence', 'onto', 'or', 'con', 'among', 'already', 'co', 'afterwards', 'formerly', 'within', 'seems', 'into', 'others', 'while', 'whatever', 'except', 'down', 'hers', 'everyone', 'done', 'least', 'another', 'whoever', 'moreover', 'couldnt', 'throughout', 'anyhow', 'yourself', 'three', 'from', 'her', 'few', 'together', 'top', 'there', 'due', 'been', 'next', 'anyone', 'eleven', 'much', 'call', 'therefore', 'interest', 'then', 'thru', 'themselves', 'hundred', 'was', 'sincere', 'empty', 'more', 'himself', 'elsewhere', 'mostly', 'on', 'fire', 'am', 'becoming', 'hereby', 'amongst', 'else', 'part', 'everywhere', 'too', 'herself', 'former', 'those', 'he', 'me', 'myself', 'made', 'twenty', 'these', 'bill', 'cant', 'us', 'until', 'besides', 'nevertheless', 'below', 'anywhere', 'nine', 'can', 'of', 'your', 'toward', 'my', 'something', 'and', 'whereafter', 'whenever', 'give', 'almost', 'wherever', 'is', 'describe', 'beforehand', 'herein', 'an', 'as', 'itself', 'at', 'have', 'in', 'seem', 'whence', 'ie', 'any', 'fill', 'again', 'hasnt', 'inc', 'thereby', 'thin', 'no', 'perhaps', 'latter', 'meanwhile', 'when', 'detail', 'same', 'wherein', 'beside', 'also', 'that', 'other', 'take', 'which', 'becomes', 'you', 'if', 'nobody', 'see', 'though', 'may', 'after', 'upon', 'most', 'hereupon', 'eight', 'but', 'serious', 'nothing', 'such', 'why', 'a', 'off', 'whereby', 'third', 'i', 'whole', 'noone', 'sometimes', 'well', 'amoungst', 'yours', 'their', 'rather', 'without', 'so', 'five', 'the', 'first', 'whereas', 'once']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bag_of_words=[x for x in bag_of_words if x not in stop_words]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
-    "stop_words = ['all', 'six', 'less', 'being', 'indeed', 'over', 'move', 'anyway', 'fifty', 'four', 'not', 'own', 'through', 'yourselves', 'go', 'where', 'mill', 'only', 'find', 'before', 'one', 'whose', 'system', 'how', 'somewhere', 'with', 'thick', 'show', 'had', 'enough', 'should', 'to', 'must', 'whom', 'seeming', 'under', 'ours', 'has', 'might', 'thereafter', 'latterly', 'do', 'them', 'his', 'around', 'than', 'get', 'very', 'de', 'none', 'cannot', 'every', 'whether', 'they', 'front', 'during', 'thus', 'now', 'him', 'nor', 'name', 'several', 'hereafter', 'always', 'who', 'cry', 'whither', 'this', 'someone', 'either', 'each', 'become', 'thereupon', 'sometime', 'side', 'two', 'therein', 'twelve', 'because', 'often', 'ten', 'our', 'eg', 'some', 'back', 'up', 'namely', 'towards', 'are', 'further', 'beyond', 'ourselves', 'yet', 'out', 'even', 'will', 'what', 'still', 'for', 'bottom', 'mine', 'since', 'please', 'forty', 'per', 'its', 'everything', 'behind', 'un', 'above', 'between', 'it', 'neither', 'seemed', 'ever', 'across', 'she', 'somehow', 'be', 'we', 'full', 'never', 'sixty', 'however', 'here', 'otherwise', 'were', 'whereupon', 'nowhere', 'although', 'found', 'alone', 're', 'along', 'fifteen', 'by', 'both', 'about', 'last', 'would', 'anything', 'via', 'many', 'could', 'thence', 'put', 'against', 'keep', 'etc', 'amount', 'became', 'ltd', 'hence', 'onto', 'or', 'con', 'among', 'already', 'co', 'afterwards', 'formerly', 'within', 'seems', 'into', 'others', 'while', 'whatever', 'except', 'down', 'hers', 'everyone', 'done', 'least', 'another', 'whoever', 'moreover', 'couldnt', 'throughout', 'anyhow', 'yourself', 'three', 'from', 'her', 'few', 'together', 'top', 'there', 'due', 'been', 'next', 'anyone', 'eleven', 'much', 'call', 'therefore', 'interest', 'then', 'thru', 'themselves', 'hundred', 'was', 'sincere', 'empty', 'more', 'himself', 'elsewhere', 'mostly', 'on', 'fire', 'am', 'becoming', 'hereby', 'amongst', 'else', 'part', 'everywhere', 'too', 'herself', 'former', 'those', 'he', 'me', 'myself', 'made', 'twenty', 'these', 'bill', 'cant', 'us', 'until', 'besides', 'nevertheless', 'below', 'anywhere', 'nine', 'can', 'of', 'your', 'toward', 'my', 'something', 'and', 'whereafter', 'whenever', 'give', 'almost', 'wherever', 'is', 'describe', 'beforehand', 'herein', 'an', 'as', 'itself', 'at', 'have', 'in', 'seem', 'whence', 'ie', 'any', 'fill', 'again', 'hasnt', 'inc', 'thereby', 'thin', 'no', 'perhaps', 'latter', 'meanwhile', 'when', 'detail', 'same', 'wherein', 'beside', 'also', 'that', 'other', 'take', 'which', 'becomes', 'you', 'if', 'nobody', 'see', 'though', 'may', 'after', 'upon', 'most', 'hereupon', 'eight', 'but', 'serious', 'nothing', 'such', 'why', 'a', 'off', 'whereby', 'third', 'i', 'whole', 'noone', 'sometimes', 'well', 'amoungst', 'yours', 'their', 'rather', 'without', 'so', 'five', 'the', 'first', 'whereas', 'once']\n",
+    "term_freq = []\n",
     "\n",
-    "# Write your code below\n"
+    "for string in corpus:\n",
+    "    term_freq.append([string.split().count(word) for word in bag_of_words])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['ironhack', 'cool', 'love', 'student']\n",
+      "[[1, 1, 0, 0], [1, 0, 1, 0], [1, 0, 0, 1]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(bag_of_words)\n",
+    "print(term_freq)\n",
+    "# It is different from expected because is,am,at are in stop_words list"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Output described before requirements (sorted)\n",
+    "#bag_of_words=[]\n",
+    "#for string in corpus:\n",
+    "#    for word in string.split():\n",
+    "#        if word not in bag_of_words:\n",
+    "#            bag_of_words.append(word)\n",
+    "#fake_stop_words=['i','a']\n",
+    "#bag_of_words=sorted([x for x in bag_of_words if x not in fake_stop_words])\n",
+    "#term_freq = []\n",
+    "#\n",
+    "#for string in corpus:\n",
+    "#    term_freq.append([string.split().count(word) for word in bag_of_words])\n",
+    "#print(bag_of_words)\n",
+    "#print(term_freq)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Output described after requirements\n",
+    "#bag_of_words=[]\n",
+    "#for string in corpus:\n",
+    "#    for word in string.split():\n",
+    "#        if word not in bag_of_words:\n",
+    "#            bag_of_words.append(word)\n",
+    "#fake_stop_words=['i','a']\n",
+    "#bag_of_words=[x for x in bag_of_words if x not in fake_stop_words]\n",
+    "#term_freq = []\n",
+    "#\n",
+    "#for string in corpus:\n",
+    "#    term_freq.append([string.split().count(word) for word in bag_of_words])\n",
+    "#print(bag_of_words)\n",
+    "#print(term_freq)"
    ]
   },
   {
@@ -315,6 +427,39 @@
     " [1 1 0 1 0 0 1]]\n",
     " ```"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    "vectorizer = CountVectorizer()\n",
+    "X = vectorizer.fit_transform(corpus)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'ironhack': 3, 'is': 4, 'cool': 2, 'love': 5, 'am': 0, 'student': 6, 'at': 1}\n",
+      "[[0 0 1 1 1 0 0]\n",
+      " [0 0 0 1 0 1 0]\n",
+      " [1 1 0 1 0 0 1]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# It's the same as the one obtained with fake_stop_words list (sorted)\n",
+    "print(vectorizer.vocabulary_)\n",
+    "print(X.toarray())"
+   ]
   }
  ],
  "metadata": {
@@ -333,9 +478,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.2"
+   "version": "3.7.3"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/module-1/lab-tuple-set-dict/your-code/challenge-3.ipynb b/module-1/lab-tuple-set-dict/your-code/challenge-3.ipynb
index 7ab8ea5d6..8f256c5ef 100644
--- a/module-1/lab-tuple-set-dict/your-code/challenge-3.ipynb
+++ b/module-1/lab-tuple-set-dict/your-code/challenge-3.ipynb
@@ -15,7 +15,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -49,11 +49,180 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "keys=word_freq.keys()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "word_freq=(sorted(word_freq.keys()),word_freq)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['a',\n",
+       " 'about',\n",
+       " 'all',\n",
+       " 'although',\n",
+       " 'and',\n",
+       " 'are',\n",
+       " 'at',\n",
+       " 'baby',\n",
+       " 'backseat',\n",
+       " 'bag',\n",
+       " 'bar',\n",
+       " 'be',\n",
+       " 'bedsheets',\n",
+       " 'begin',\n",
+       " 'best',\n",
+       " 'body',\n",
+       " 'boy',\n",
+       " 'brand',\n",
+       " 'can',\n",
+       " 'chance',\n",
+       " 'club',\n",
+       " 'come',\n",
+       " 'conversation',\n",
+       " 'crazy',\n",
+       " 'dance',\n",
+       " 'date',\n",
+       " 'day',\n",
+       " 'discovering',\n",
+       " 'do',\n",
+       " 'doing',\n",
+       " \"don't\",\n",
+       " 'drinking',\n",
+       " 'driver',\n",
+       " 'eat',\n",
+       " 'every',\n",
+       " 'falling',\n",
+       " 'family',\n",
+       " 'fast',\n",
+       " 'fill',\n",
+       " 'find',\n",
+       " 'first',\n",
+       " 'follow',\n",
+       " 'for',\n",
+       " 'friends',\n",
+       " 'get',\n",
+       " 'girl',\n",
+       " 'give',\n",
+       " 'go',\n",
+       " 'going',\n",
+       " 'grab',\n",
+       " 'hand',\n",
+       " 'handmade',\n",
+       " 'heart',\n",
+       " 'hours',\n",
+       " 'how',\n",
+       " 'i',\n",
+       " \"i'll\",\n",
+       " \"i'm\",\n",
+       " 'in',\n",
+       " 'is',\n",
+       " \"isn't\",\n",
+       " 'it',\n",
+       " 'jukebox',\n",
+       " 'just',\n",
+       " 'kiss',\n",
+       " 'know',\n",
+       " 'last',\n",
+       " 'lead',\n",
+       " 'leave',\n",
+       " 'let',\n",
+       " \"let's\",\n",
+       " 'like',\n",
+       " 'love',\n",
+       " 'lover',\n",
+       " 'magnet',\n",
+       " 'make',\n",
+       " 'man',\n",
+       " 'may',\n",
+       " 'me',\n",
+       " 'mind',\n",
+       " 'much',\n",
+       " 'my',\n",
+       " 'new',\n",
+       " 'night',\n",
+       " 'not',\n",
+       " 'now',\n",
+       " 'of',\n",
+       " 'okay',\n",
+       " 'on',\n",
+       " 'one',\n",
+       " 'our',\n",
+       " 'out',\n",
+       " 'over',\n",
+       " 'place',\n",
+       " 'plate',\n",
+       " 'play',\n",
+       " 'pull',\n",
+       " 'push',\n",
+       " 'put',\n",
+       " 'radio',\n",
+       " 'room',\n",
+       " 'say',\n",
+       " 'shape',\n",
+       " 'shots',\n",
+       " 'singing',\n",
+       " 'slow',\n",
+       " 'smell',\n",
+       " 'so',\n",
+       " 'somebody',\n",
+       " 'something',\n",
+       " 'sour',\n",
+       " 'start',\n",
+       " 'stop',\n",
+       " 'story',\n",
+       " 'sweet',\n",
+       " 'table',\n",
+       " 'take',\n",
+       " 'talk',\n",
+       " 'taxi',\n",
+       " 'tell',\n",
+       " 'that',\n",
+       " 'the',\n",
+       " 'then',\n",
+       " 'thrifty',\n",
+       " 'to',\n",
+       " 'too',\n",
+       " 'trust',\n",
+       " 'up',\n",
+       " 'van',\n",
+       " 'waist',\n",
+       " 'want',\n",
+       " 'was',\n",
+       " 'we',\n",
+       " \"we're\",\n",
+       " 'week',\n",
+       " 'were',\n",
+       " 'where',\n",
+       " 'with',\n",
+       " 'you',\n",
+       " 'your']"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "word_freq"
    ]
   },
   {
@@ -190,9 +359,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.2"
+   "version": "3.7.3"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }