diff --git a/your-code/main.ipynb b/your-code/main.ipynb
index e66d6ce..839540e 100644
--- a/your-code/main.ipynb
+++ b/your-code/main.ipynb
@@ -12,11 +12,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "\n",
+    "import numpy as np"
    ]
   },
   {
@@ -28,11 +30,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# your code here"
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "NumPy Version :  1.24.2\n"
+     ]
+    }
+   ],
+   "source": [
+    "# your code here\n",
+    "\n",
+    "print(\"NumPy Version : \",np.__version__)"
    ]
   },
   {
@@ -45,29 +57,89 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Method 1"
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[[0.49394801, 0.41606977, 0.99594286, 0.16336667],\n",
+       "        [0.40480256, 0.42771307, 0.61766931, 0.38438541],\n",
+       "        [0.02539472, 0.51858253, 0.32983082, 0.45802613]],\n",
+       "\n",
+       "       [[0.82307997, 0.59724382, 0.17152116, 0.41463204],\n",
+       "        [0.24915744, 0.59025771, 0.58242819, 0.29615499],\n",
+       "        [0.02870235, 0.87646794, 0.29586079, 0.11474045]]])"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Method 1\n",
+    "\n",
+    "a = np.random.random(size = (2,3,4))\n",
+    "a"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Method 2"
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[[0.68792027, 0.91506177, 0.17069798, 0.91554771, 0.66658621],\n",
+       "        [0.50636034, 0.20579295, 0.77528482, 0.10918329, 0.44881792],\n",
+       "        [0.1614752 , 0.95593983, 0.72585752, 0.94133837, 0.27115026]],\n",
+       "\n",
+       "       [[0.67429144, 0.98566251, 0.50494178, 0.34624013, 0.21878849],\n",
+       "        [0.13481798, 0.78977384, 0.05629741, 0.09793456, 0.67794858],\n",
+       "        [0.30028245, 0.44141246, 0.6870931 , 0.6099192 , 0.2525572 ]]])"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Method 2\n",
+    "\n",
+    "a = np.random.random_sample((2, 3, 5))\n",
+    "a"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Method 3"
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[[8, 6, 0, 3, 0],\n",
+       "        [8, 0, 2, 5, 7],\n",
+       "        [5, 1, 6, 4, 7]],\n",
+       "\n",
+       "       [[1, 8, 9, 4, 7],\n",
+       "        [1, 5, 8, 5, 9],\n",
+       "        [5, 3, 2, 2, 9]]])"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Method 3\n",
+    "\n",
+    "a = np.random.randint(0, 10, size=(2, 3, 5))\n",
+    "a"
    ]
   },
   {
@@ -79,11 +151,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# your code here"
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[[8, 6, 0, 3, 0],\n",
+       "        [8, 0, 2, 5, 7],\n",
+       "        [5, 1, 6, 4, 7]],\n",
+       "\n",
+       "       [[1, 8, 9, 4, 7],\n",
+       "        [1, 5, 8, 5, 9],\n",
+       "        [5, 3, 2, 2, 9]]])"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# your code here\n",
+    "a"
    ]
   },
   {
@@ -95,11 +185,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# your code here"
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[[1., 1., 1.],\n",
+       "        [1., 1., 1.]],\n",
+       "\n",
+       "       [[1., 1., 1.],\n",
+       "        [1., 1., 1.]],\n",
+       "\n",
+       "       [[1., 1., 1.],\n",
+       "        [1., 1., 1.]],\n",
+       "\n",
+       "       [[1., 1., 1.],\n",
+       "        [1., 1., 1.]],\n",
+       "\n",
+       "       [[1., 1., 1.],\n",
+       "        [1., 1., 1.]]])"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# your code here\n",
+    "\n",
+    "b = np.ones((5, 2, 3))\n",
+    "b"
    ]
   },
   {
@@ -111,11 +228,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# your code here"
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[[1., 1., 1.],\n",
+       "        [1., 1., 1.]],\n",
+       "\n",
+       "       [[1., 1., 1.],\n",
+       "        [1., 1., 1.]],\n",
+       "\n",
+       "       [[1., 1., 1.],\n",
+       "        [1., 1., 1.]],\n",
+       "\n",
+       "       [[1., 1., 1.],\n",
+       "        [1., 1., 1.]],\n",
+       "\n",
+       "       [[1., 1., 1.],\n",
+       "        [1., 1., 1.]]])"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# your code here\n",
+    "\n",
+    "b"
    ]
   },
   {
@@ -127,11 +270,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# your code here"
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The arrays have the same size.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# your code here\n",
+    "\n",
+    "if a.size == b.size:\n",
+    "    print(\"The arrays have the same size.\")\n",
+    "else:\n",
+    "    print(\"The arrays do not have the same size.\")"
    ]
   },
   {
@@ -143,14 +299,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# your answer here"
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The arrays cannot be added.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# your answer here\n",
+    "\n",
+    "if a.shape == b.shape:\n",
+    "    print(\"The arrays can be added.\")\n",
+    "else:\n",
+    "    print(\"The arrays cannot be added.\")\n",
+    "\n",
+    "    # arrays can only be added if they share the same shape"
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -159,11 +331,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# your code here"
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[[1., 1., 1., 1., 1.],\n",
+       "        [1., 1., 1., 1., 1.],\n",
+       "        [1., 1., 1., 1., 1.]],\n",
+       "\n",
+       "       [[1., 1., 1., 1., 1.],\n",
+       "        [1., 1., 1., 1., 1.],\n",
+       "        [1., 1., 1., 1., 1.]]])"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# your code here\n",
+    "\n",
+    "c = b.transpose((1, 2, 0))\n",
+    "\n",
+    "c"
    ]
   },
   {
@@ -175,11 +368,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# your code/answer here"
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[[ 9.,  7.,  1.,  4.,  1.],\n",
+       "        [ 9.,  1.,  3.,  6.,  8.],\n",
+       "        [ 6.,  2.,  7.,  5.,  8.]],\n",
+       "\n",
+       "       [[ 2.,  9., 10.,  5.,  8.],\n",
+       "        [ 2.,  6.,  9.,  6., 10.],\n",
+       "        [ 6.,  4.,  3.,  3., 10.]]])"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# your code/answer here\n",
+    "\n",
+    "d = a + c\n",
+    "\n",
+    "d\n",
+    "\n",
+    "# Because both a and c share the same shape (2x3x5)"
    ]
   },
   {
@@ -191,11 +407,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# your code/answer here"
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[[8 6 0 3 0]\n",
+      "  [8 0 2 5 7]\n",
+      "  [5 1 6 4 7]]\n",
+      "\n",
+      " [[1 8 9 4 7]\n",
+      "  [1 5 8 5 9]\n",
+      "  [5 3 2 2 9]]]\n",
+      "[[[ 9.  7.  1.  4.  1.]\n",
+      "  [ 9.  1.  3.  6.  8.]\n",
+      "  [ 6.  2.  7.  5.  8.]]\n",
+      "\n",
+      " [[ 2.  9. 10.  5.  8.]\n",
+      "  [ 2.  6.  9.  6. 10.]\n",
+      "  [ 6.  4.  3.  3. 10.]]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# your code/answer here\n",
+    "\n",
+    "print(a)\n",
+    "\n",
+    "print(d)\n",
+    "\n",
+    "# because d is the sum between a and c, d has then the same values as a but icremented by one"
    ]
   },
   {
@@ -207,11 +450,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# your code here"
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[[8., 6., 0., 3., 0.],\n",
+       "        [8., 0., 2., 5., 7.],\n",
+       "        [5., 1., 6., 4., 7.]],\n",
+       "\n",
+       "       [[1., 8., 9., 4., 7.],\n",
+       "        [1., 5., 8., 5., 9.],\n",
+       "        [5., 3., 2., 2., 9.]]])"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# your code here\n",
+    "\n",
+    "e = a * c\n",
+    "\n",
+    "e"
    ]
   },
   {
@@ -223,11 +487,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# your code/answer here"
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "e is equal to a\n"
+     ]
+    }
+   ],
+   "source": [
+    "# your code/answer here\n",
+    "\n",
+    "if np.array_equal(e, a):\n",
+    "    print(\"e is equal to a\")\n",
+    "else:\n",
+    "    print(\"e is not equal to a\")\n",
+    "\n",
+    "    # because a is just an array of random numbers and e is a multiplication between a and c, they cant be equal"
    ]
   },
   {
@@ -239,11 +518,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# your code here"
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Maximum value in d: 10.0\n",
+      "Minimum value in d: 1.0\n",
+      "Mean value of d: 5.666666666666667\n"
+     ]
+    }
+   ],
+   "source": [
+    "# your code here\n",
+    "\n",
+    "d_max = np.max(d)\n",
+    "print(\"Maximum value in d:\", d_max)\n",
+    "\n",
+    "d_min = np.min(d)\n",
+    "print(\"Minimum value in d:\", d_min)\n",
+    "\n",
+    "d_mean = np.mean(d)\n",
+    "print(\"Mean value of d:\", d_mean)"
    ]
   },
   {
@@ -255,11 +553,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 56,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "\n",
+    "f = np.empty((2, 3, 5))"
    ]
   },
   {
@@ -275,11 +575,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 67,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "\n",
+    "for i in range(2):\n",
+    "    for j in range(3):\n",
+    "        for k in range(5):\n",
+    "            if d[i, j, k] == d_min:\n",
+    "                f[i, j, k] = 0\n",
+    "            elif d_min < d[i, j, k] < d_mean:\n",
+    "                f[i, j, k] = 25\n",
+    "            elif d[i, j, k] == d_mean:\n",
+    "                f[i, j, k] = 50\n",
+    "            elif d_mean < d[i, j, k] < d_max:\n",
+    "                f[i, j, k] = 75\n",
+    "            else:\n",
+    "                f[i, j, k] = 100\n"
    ]
   },
   {
@@ -309,11 +623,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# your code here"
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[[ 9.  7.  1.  4.  1.]\n",
+      "  [ 9.  1.  3.  6.  8.]\n",
+      "  [ 6.  2.  7.  5.  8.]]\n",
+      "\n",
+      " [[ 2.  9. 10.  5.  8.]\n",
+      "  [ 2.  6.  9.  6. 10.]\n",
+      "  [ 6.  4.  3.  3. 10.]]]\n",
+      "[[[ 75.  75.   0.  25.   0.]\n",
+      "  [ 75.   0.  25.  75.  75.]\n",
+      "  [ 75.  25.  75.  25.  75.]]\n",
+      "\n",
+      " [[ 25.  75. 100.  25.  75.]\n",
+      "  [ 25.  75.  75.  75. 100.]\n",
+      "  [ 75.  25.  25.  25. 100.]]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# your code here\n",
+    "\n",
+    "print(d)\n",
+    "\n",
+    "print(f)"
    ]
   },
   {
@@ -335,12 +674,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 71,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "\n",
+    "# I guess the previous is already wrong"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -359,7 +707,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.2"
+   "version": "3.11.2"
   }
  },
  "nbformat": 4,