diff --git a/Week 4/8 Eigenvalues and Eigenvectors.ipynb b/Week 4/8 Eigenvalues and Eigenvectors.ipynb
index c3a2616..05c2149 100644
--- a/Week 4/8 Eigenvalues and Eigenvectors.ipynb	
+++ b/Week 4/8 Eigenvalues and Eigenvectors.ipynb	
@@ -66,7 +66,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {
     "deletable": false,
     "nbgrader": {
@@ -137,7 +137,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {
     "deletable": false,
     "nbgrader": {
@@ -201,7 +201,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {
     "deletable": false,
     "nbgrader": {
@@ -216,7 +216,30 @@
      "task": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "For sigma = 0.03\n",
+      "b = [ 0.45440139 -0.76618454  0.45440139]\n",
+      "lam = [0.62771919 0.62771831 0.62771919]\n",
+      "\n",
+      "\n",
+      "For sigma = 6.0\n",
+      "b = [0.54177432 0.64262054 0.54177432]\n",
+      "lam = [6.37228128 6.37228139 6.37228128]\n",
+      "\n",
+      "\n",
+      "For sigma = 1.99999989999999\n",
+      "b = [-7.07106781e-01 -4.21799612e-14  7.07106781e-01]\n",
+      "lam = [ 2. -0.  2.]\n",
+      "\n",
+      "\n",
+      "[6.37228132 2.         0.62771868]\n"
+     ]
+    }
+   ],
    "source": [
     "# Use this cell for your own testing ...\n",
     "\n",
@@ -239,7 +262,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {
     "deletable": false,
     "nbgrader": {
@@ -305,7 +328,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {
     "deletable": false,
     "nbgrader": {
@@ -347,7 +370,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {
     "deletable": false,
     "nbgrader": {
@@ -362,7 +385,28 @@
      "task": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(3,) (3, 3) () (1, 3)\n",
+      "(3,) (3, 3) () (0, 3)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "array([[ 3.        , -2.23606798,  0.        ],\n",
+       "       [-2.23606798,  4.6       ,  1.2       ],\n",
+       "       [ 0.        ,  1.2       ,  1.4       ]])"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "B = np.array([[3,2,1],[2,3,2],[1,2,3]])\n",
     "\n",
@@ -405,7 +449,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {
     "deletable": false,
     "nbgrader": {
@@ -443,7 +487,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {
     "deletable": false,
     "nbgrader": {
@@ -458,7 +502,19 @@
      "task": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(3,) (3, 3) () (1, 3)\n",
+      "(3,) (3, 3) () (0, 3)\n",
+      "[[ 3.         -2.23606798  0.        ]\n",
+      " [-2.23606798  4.6         1.2       ]\n",
+      " [ 0.          1.2         1.4       ]]\n"
+     ]
+    }
+   ],
    "source": [
     "A_tridiag = tridiagonalize(A)\n",
     "print(A_tridiag)"
@@ -466,7 +522,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {
     "deletable": false,
     "nbgrader": {
@@ -481,7 +537,15 @@
      "task": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[6.37228126 2.00000006 0.62771869]\n"
+     ]
+    }
+   ],
    "source": [
     "def test_QREig():\n",
     "    \"\"\"\n",
@@ -520,7 +584,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {
     "deletable": false,
     "nbgrader": {
@@ -535,7 +599,17 @@
      "task": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(array([ 0.54177424, -0.81706617, -0.1971891 ]), 3)\n",
+      "(array([0.70710833, 0.31623112, 0.63245212]), 2)\n",
+      "(array([ 0.45440144,  0.48208191, -0.749077  ]), 3)\n"
+     ]
+    }
+   ],
    "source": [
     "\"\"\"\n",
     "Eigenvalues and -vectors calculated numerically for matrix A using functions from previous tasks.\n",
@@ -587,7 +661,18 @@
      "task": false
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(5,) (5, 5) () (3, 5)\n",
+      "(5,) (5, 5) () (2, 5)\n",
+      "(5,) (5, 5) () (1, 5)\n",
+      "(5,) (5, 5) () (0, 5)\n"
+     ]
+    }
+   ],
    "source": [
     "\"\"\"\n",
     "Completely 'random' and totally not self-made matrices C and D are being tridiagonalized and its eigenvalues and -vectors are\n",
@@ -623,7 +708,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },