diff --git a/your-code/main.ipynb b/your-code/main.ipynb
index 46f5aa1..0c22282 100644
--- a/your-code/main.ipynb
+++ b/your-code/main.ipynb
@@ -16,11 +16,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 1128,
    "metadata": {},
    "outputs": [],
    "source": [
-    "### [your code here]\n"
+    "import numpy as np"
    ]
   },
   {
@@ -34,11 +34,94 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "### [your code here]\n"
+   "execution_count": 1129,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\n",
+      "  \"Compilers\": {\n",
+      "    \"c\": {\n",
+      "      \"name\": \"clang\",\n",
+      "      \"linker\": \"ld64\",\n",
+      "      \"version\": \"15.0.0\",\n",
+      "      \"commands\": \"cc\"\n",
+      "    },\n",
+      "    \"cython\": {\n",
+      "      \"name\": \"cython\",\n",
+      "      \"linker\": \"cython\",\n",
+      "      \"version\": \"3.0.11\",\n",
+      "      \"commands\": \"cython\"\n",
+      "    },\n",
+      "    \"c++\": {\n",
+      "      \"name\": \"clang\",\n",
+      "      \"linker\": \"ld64\",\n",
+      "      \"version\": \"15.0.0\",\n",
+      "      \"commands\": \"c++\"\n",
+      "    }\n",
+      "  },\n",
+      "  \"Machine Information\": {\n",
+      "    \"host\": {\n",
+      "      \"cpu\": \"aarch64\",\n",
+      "      \"family\": \"aarch64\",\n",
+      "      \"endian\": \"little\",\n",
+      "      \"system\": \"darwin\"\n",
+      "    },\n",
+      "    \"build\": {\n",
+      "      \"cpu\": \"aarch64\",\n",
+      "      \"family\": \"aarch64\",\n",
+      "      \"endian\": \"little\",\n",
+      "      \"system\": \"darwin\"\n",
+      "    }\n",
+      "  },\n",
+      "  \"Build Dependencies\": {\n",
+      "    \"blas\": {\n",
+      "      \"name\": \"accelerate\",\n",
+      "      \"found\": true,\n",
+      "      \"version\": \"unknown\",\n",
+      "      \"detection method\": \"system\",\n",
+      "      \"include directory\": \"unknown\",\n",
+      "      \"lib directory\": \"unknown\",\n",
+      "      \"openblas configuration\": \"unknown\",\n",
+      "      \"pc file directory\": \"unknown\"\n",
+      "    },\n",
+      "    \"lapack\": {\n",
+      "      \"name\": \"accelerate\",\n",
+      "      \"found\": true,\n",
+      "      \"version\": \"unknown\",\n",
+      "      \"detection method\": \"system\",\n",
+      "      \"include directory\": \"unknown\",\n",
+      "      \"lib directory\": \"unknown\",\n",
+      "      \"openblas configuration\": \"unknown\",\n",
+      "      \"pc file directory\": \"unknown\"\n",
+      "    }\n",
+      "  },\n",
+      "  \"Python Information\": {\n",
+      "    \"path\": \"/private/var/folders/4d/0gnh84wj53j7wyk695q0tc_80000gn/T/build-env-kq4kuj35/bin/python\",\n",
+      "    \"version\": \"3.9\"\n",
+      "  },\n",
+      "  \"SIMD Extensions\": {\n",
+      "    \"baseline\": [\n",
+      "      \"NEON\",\n",
+      "      \"NEON_FP16\",\n",
+      "      \"NEON_VFPV4\",\n",
+      "      \"ASIMD\"\n",
+      "    ],\n",
+      "    \"found\": [\n",
+      "      \"ASIMDHP\"\n",
+      "    ],\n",
+      "    \"not found\": [\n",
+      "      \"ASIMDFHM\"\n",
+      "    ]\n",
+      "  }\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "np.show_config()"
    ]
   },
   {
@@ -51,11 +134,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 1130,
    "metadata": {},
    "outputs": [],
    "source": [
-    "### [your code here]\n"
+    "a = np.random.rand(2,3,5)\n",
+    "\n",
+    "\n"
    ]
   },
   {
@@ -68,11 +153,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 1131,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[[0.39656116 0.790648   0.88905418 0.40370293 0.00508151]\n",
+      "  [0.11687306 0.64943981 0.9902077  0.67380398 0.07750517]\n",
+      "  [0.95268089 0.27353551 0.45487337 0.16912848 0.38396048]]\n",
+      "\n",
+      " [[0.01002389 0.77195412 0.56544474 0.93345561 0.84118967]\n",
+      "  [0.15204888 0.61848739 0.84714758 0.83790896 0.96659749]\n",
+      "  [0.93322108 0.57602183 0.17063978 0.36075462 0.25446445]]]\n"
+     ]
+    }
+   ],
    "source": [
-    "### [your code here]\n"
+    "print(a)\n"
    ]
   },
   {
@@ -85,11 +184,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 1132,
    "metadata": {},
    "outputs": [],
    "source": [
-    "### [your code here]\n"
+    "b = np.ones((5, 2, 3))\n"
    ]
   },
   {
@@ -102,11 +201,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "### [your code here]\n"
+   "execution_count": 1133,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[[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.]]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(b)"
    ]
   },
   {
@@ -119,11 +239,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 1134,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "They same\n"
+     ]
+    }
+   ],
    "source": [
-    "### [your code here]\n"
+    "if a.size == b.size:\n",
+    "    print('They same')\n",
+    "else:\n",
+    "    print('they are not same')"
    ]
   },
   {
@@ -136,11 +267,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 1135,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Not possible as a and b are not having same shape\n"
+     ]
+    }
+   ],
    "source": [
-    "### [your code here]\n"
+    "if a.shape == b.shape:\n",
+    "    print('Adding is possible as they have same shape')\n",
+    "else:\n",
+    "    print('Not possible as a and b are not having same shape')\n",
+    "    \n"
    ]
   },
   {
@@ -154,11 +297,39 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "### [your code here]\n"
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[[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.]]]\n",
+      "[[[0.39656116 0.790648   0.88905418 0.40370293 0.00508151]\n",
+      "  [0.11687306 0.64943981 0.9902077  0.67380398 0.07750517]\n",
+      "  [0.95268089 0.27353551 0.45487337 0.16912848 0.38396048]]\n",
+      "\n",
+      " [[0.01002389 0.77195412 0.56544474 0.93345561 0.84118967]\n",
+      "  [0.15204888 0.61848739 0.84714758 0.83790896 0.96659749]\n",
+      "  [0.93322108 0.57602183 0.17063978 0.36075462 0.25446445]]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "#result should be: a = 2, 3, 5, so let's re-arrange axes:\n",
+    "#which original axis needs to move where?\n",
+    "# b = 5, 2, 3, so:\n",
+    "# 5 -> 1, 2 -> 2, 3 -> 0\n",
+    "c = np.transpose(b, (1, 2, 0))\n",
+    "\n",
+    "print(c)\n",
+    "print(a)"
    ]
   },
   {
@@ -171,11 +342,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 1137,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Adding is possible as they have same shape\n"
+     ]
+    }
+   ],
    "source": [
-    "### [your code here]\n"
+    "#checking:\n",
+    "if a.shape == c.shape:\n",
+    "    d = a + c\n",
+    "    print('Adding is possible as they have same shape')\n",
+    "else:\n",
+    "    print('Not possible as a and b are not having same shape')"
    ]
   },
   {
@@ -188,12 +372,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "### [your code here]\n",
-    "\n"
+   "execution_count": 1138,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "array a: [[[0.39656116 0.790648   0.88905418 0.40370293 0.00508151]\n",
+      "  [0.11687306 0.64943981 0.9902077  0.67380398 0.07750517]\n",
+      "  [0.95268089 0.27353551 0.45487337 0.16912848 0.38396048]]\n",
+      "\n",
+      " [[0.01002389 0.77195412 0.56544474 0.93345561 0.84118967]\n",
+      "  [0.15204888 0.61848739 0.84714758 0.83790896 0.96659749]\n",
+      "  [0.93322108 0.57602183 0.17063978 0.36075462 0.25446445]]]\n",
+      "array d is a sum of a + d: [[[1.39656116 1.790648   1.88905418 1.40370293 1.00508151]\n",
+      "  [1.11687306 1.64943981 1.9902077  1.67380398 1.07750517]\n",
+      "  [1.95268089 1.27353551 1.45487337 1.16912848 1.38396048]]\n",
+      "\n",
+      " [[1.01002389 1.77195412 1.56544474 1.93345561 1.84118967]\n",
+      "  [1.15204888 1.61848739 1.84714758 1.83790896 1.96659749]\n",
+      "  [1.93322108 1.57602183 1.17063978 1.36075462 1.25446445]]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('array a:', a)\n",
+    "print('array d is a sum of a + d:', d)\n",
+    "#d is a sum of a + c"
    ]
   },
   {
@@ -206,11 +412,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 1139,
    "metadata": {},
    "outputs": [],
    "source": [
-    "### [your code here]\n"
+    "e = a * c\n"
    ]
   },
   {
@@ -224,12 +430,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "### [your code here]\n",
-    "\n"
+   "execution_count": 1140,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Adding is possible as they have same shape\n",
+      "array a: [[[0.39656116 0.790648   0.88905418 0.40370293 0.00508151]\n",
+      "  [0.11687306 0.64943981 0.9902077  0.67380398 0.07750517]\n",
+      "  [0.95268089 0.27353551 0.45487337 0.16912848 0.38396048]]\n",
+      "\n",
+      " [[0.01002389 0.77195412 0.56544474 0.93345561 0.84118967]\n",
+      "  [0.15204888 0.61848739 0.84714758 0.83790896 0.96659749]\n",
+      "  [0.93322108 0.57602183 0.17063978 0.36075462 0.25446445]]]\n",
+      "array e is a multiply of a * c, so 1 * 2 = 2: [[[1.39656116 1.790648   1.88905418 1.40370293 1.00508151]\n",
+      "  [1.11687306 1.64943981 1.9902077  1.67380398 1.07750517]\n",
+      "  [1.95268089 1.27353551 1.45487337 1.16912848 1.38396048]]\n",
+      "\n",
+      " [[1.01002389 1.77195412 1.56544474 1.93345561 1.84118967]\n",
+      "  [1.15204888 1.61848739 1.84714758 1.83790896 1.96659749]\n",
+      "  [1.93322108 1.57602183 1.17063978 1.36075462 1.25446445]]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "#checking:\n",
+    "if a.shape == e.shape:\n",
+    "    result = a + e\n",
+    "    print('Adding is possible as they have same shape')\n",
+    "else:\n",
+    "    print('Not possible as a and b are not having same shape')\n",
+    "    \n",
+    "print('array a:', a)\n",
+    "print('array e is a multiply of a * c, so 1 * 2 = 2:', d)"
    ]
   },
   {
@@ -243,12 +478,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "### [your code here]\n",
-    "\n"
+   "execution_count": 1141,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Max: 1.9902076999034497\n",
+      "Min: 1.0050815069240406\n",
+      "Mean: 1.5355472105084078\n"
+     ]
+    }
+   ],
+   "source": [
+    "d_max = d.max()\n",
+    "d_min = d.min()\n",
+    "d_mean = d.mean()\n",
+    "\n",
+    "\n",
+    "print(\"Max:\", d_max)\n",
+    "print(\"Min:\", d_min)\n",
+    "print(\"Mean:\", d_mean)"
    ]
   },
   {
@@ -261,11 +512,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 1142,
    "metadata": {},
    "outputs": [],
    "source": [
-    "### [your code here]\n"
+    "f = np.empty((2, 3, 5))\n",
+    "#or:\n",
+    "f = np.empty(d.shape)\n"
    ]
   },
   {
@@ -287,11 +540,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "### [your code here]\n"
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[[ 25.  75.  75.  25.   0.]\n",
+      "  [ 25.  75. 100.  75.  25.]\n",
+      "  [ 75.  25.  25.  25.  25.]]\n",
+      "\n",
+      " [[ 25.  75.  75.  75.  75.]\n",
+      "  [ 25.  75.  75.  75.  75.]\n",
+      "  [ 75.  75.  25.  25.  25.]]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "for x in range(d.shape[0]): #go trough every layer\n",
+    "    for z in range(d.shape[1]): #go trough every row\n",
+    "        for y in range(d.shape[2]): #go trough every column\n",
+    "            \n",
+    "            value = d[x][z][y] #pull out the number that lives on layer x, row z, column y\n",
+    "            \n",
+    "            if value == d_min:\n",
+    "                f[x][z][y] = 0\n",
+    "            elif value == d_max:\n",
+    "                f[x][z][y] = 100\n",
+    "            elif value == d_mean:\n",
+    "                f[x][z][y] = 50\n",
+    "            elif d_min < value < d_mean:\n",
+    "                f[x][z][y] = 25\n",
+    "            elif d_mean < value < d_max:\n",
+    "                f[x][z][y] = 75\n",
+    "print(f)"
    ]
   },
   {
@@ -325,11 +608,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 1144,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "here is d: [[[1.39656116 1.790648   1.88905418 1.40370293 1.00508151]\n",
+      "  [1.11687306 1.64943981 1.9902077  1.67380398 1.07750517]\n",
+      "  [1.95268089 1.27353551 1.45487337 1.16912848 1.38396048]]\n",
+      "\n",
+      " [[1.01002389 1.77195412 1.56544474 1.93345561 1.84118967]\n",
+      "  [1.15204888 1.61848739 1.84714758 1.83790896 1.96659749]\n",
+      "  [1.93322108 1.57602183 1.17063978 1.36075462 1.25446445]]]\n",
+      "here is f: [[[ 25.  75.  75.  25.   0.]\n",
+      "  [ 25.  75. 100.  75.  25.]\n",
+      "  [ 75.  25.  25.  25.  25.]]\n",
+      "\n",
+      " [[ 25.  75.  75.  75.  75.]\n",
+      "  [ 25.  75.  75.  75.  75.]\n",
+      "  [ 75.  75.  25.  25.  25.]]]\n"
+     ]
+    }
+   ],
    "source": [
-    "### [your code here]\n"
+    "### [your code here]\n",
+    "print('here is d:', d)\n",
+    "print('here is f:', f)"
    ]
   },
   {
@@ -350,7 +656,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 1145,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -360,7 +666,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": ".venv",
    "language": "python",
    "name": "python3"
   },
@@ -374,7 +680,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.0"
+   "version": "3.9.6"
   }
  },
  "nbformat": 4,