diff --git a/your-code/challenge-1.ipynb b/your-code/challenge-1.ipynb
index 2e59d77..37e662a 100644
--- a/your-code/challenge-1.ipynb
+++ b/your-code/challenge-1.ipynb
@@ -15,11 +15,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "tup = (\"I\",)"
    ]
   },
   {
@@ -33,11 +34,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "tuple"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "type(tup)"
    ]
   },
   {
@@ -55,13 +68,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Your code here\n",
     "\n",
-    "# Your explanation here\n"
+    "# Nocode\n",
+    "\n",
+    "# Your explanation here\n",
+    "\n",
+    "# You can't append elements to tuples since they are immutable"
    ]
   },
   {
@@ -79,13 +96,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 20,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('I', 'r', 'o', 'n', 'h', 'a', 'c', 'k')\n"
+     ]
+    }
+   ],
    "source": [
     "# Your code here\n",
     "\n",
-    "# Your explanation here\n"
+    "tup = tup + (\"r\", \"o\", \"n\", \"h\", \"a\", \"c\", \"k\")\n",
+    "print(tup)\n",
+    "\n",
+    "# Your explanation here\n",
+    "## Since tuples are immutable, we can create a new tuple with the previous elements plus the new elements we wish to add."
    ]
   },
   {
@@ -103,11 +132,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('I', 'r', 'o', 'n')\n",
+      "('h', 'a', 'c', 'k')\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "tup1 = tup[:4]\n",
+    "tup2 = tup[-4:]\n",
+    "\n",
+    "print(tup1)\n",
+    "print(tup2)"
    ]
   },
   {
@@ -121,11 +163,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('I', 'r', 'o', 'n', 'h', 'a', 'c', 'k')\n",
+      "tup3 and tup are the same\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "tup3 = tup1 + tup2\n",
+    "print(tup3) # (\"I\", \"r\", \"o\", \"n\", \"h\", \"a\", \"c\", \"k\")\n",
+    "\n",
+    "if tup3 == tup:\n",
+    "    print(\"tup3 and tup are the same\")\n",
+    "else:\n",
+    "    print(\"tup3 and tup are not the same\")"
    ]
   },
   {
@@ -137,11 +195,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 23,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "tup1 has 4 elements, and tup2 has 4\n",
+      "The the result of the sum of tup1 and tup2 is the same as the total letters in tup 3\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "count1 = len(tup1)\n",
+    "count2 = len(tup2)\n",
+    "\n",
+    "print(\"tup1 has\",count1,\"elements, and tup2 has\",count2)\n",
+    "\n",
+    "if count1 + count2 == len(tup3):\n",
+    "    print(\"The the result of the sum of tup1 and tup2 is the same as the total letters in tup 3\")\n",
+    "else:\n",
+    "    print(\"The result of the sum of tup1 and tup2 is not the same as the total letters in tup 3\")"
    ]
   },
   {
@@ -153,11 +229,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 24,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "print(tup3.index(\"h\"))"
    ]
   },
   {
@@ -177,11 +262,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 25,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "a is in tup3: True\n",
+      "b is in tup3: False\n",
+      "c is in tup3: True\n",
+      "d is in tup3: False\n",
+      "e is in tup3: False\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "letters = [\"a\", \"b\", \"c\", \"d\", \"e\"]\n",
+    "for x in letters:\n",
+    "    if x in tup3:\n",
+    "        print(x, \"is in tup3:\", True)\n",
+    "    else:\n",
+    "        print(x, \"is in tup3:\", False)"
    ]
   },
   {
@@ -195,12 +297,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 26,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "a appears 1 time(s) in tup3\n",
+      "b appears 0 time(s) in tup3\n",
+      "c appears 1 time(s) in tup3\n",
+      "d appears 0 time(s) in tup3\n",
+      "e appears 0 time(s) in tup3\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "for letter in letters:\n",
+    "    count = tup3.count(letter)\n",
+    "    print(letter, \"appears\", count, \"time(s) in tup3\")"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -219,7 +343,12 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.2"
+   "version": "3.10.7"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "721db305ef1fd1fc91cdf20e400af694a949fe540ac5f48c160f31c7e384879d"
+   }
   }
  },
  "nbformat": 4,
diff --git a/your-code/challenge-2.ipynb b/your-code/challenge-2.ipynb
index cb3a3e0..dd325a1 100644
--- a/your-code/challenge-2.ipynb
+++ b/your-code/challenge-2.ipynb
@@ -13,7 +13,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 47,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -38,11 +38,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[60, 63, 98, 71, 87, 11, 12, 10, 62, 15, 36, 67, 88, 42, 59, 83, 48, 46, 79, 57, 68, 97, 80, 35, 89, 70, 90, 44, 54, 78, 28, 32, 47, 6, 74, 49, 96, 76, 5, 13, 55, 37, 27, 93, 17, 4, 18, 22, 38, 14, 75, 9, 81, 94, 72, 99, 50, 58, 66, 26, 2, 34, 64, 20, 43, 19, 3, 91, 0, 61, 8, 30, 16, 29, 25, 52, 23, 40, 95, 73]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "sample_list_1 = random.sample(range(100),k=80)\n",
+    "print(sample_list_1)\n",
+    "\n",
+    "##random.sample already provides unique values according to documentations so not test for repeat values"
    ]
   },
   {
@@ -54,11 +66,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 49,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The length of set1 is 80\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "set1 = set(sample_list_1)\n",
+    "print(\"The length of set1 is\", len(set1))"
    ]
   },
   {
@@ -77,11 +99,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[16, 79, 72, 36, 44, 2, 72, 6, 3, 70, 25, 95, 44, 96, 34, 78, 56, 30, 24, 95, 9, 36, 55, 80, 32, 74, 2, 40, 86, 68, 86, 69, 60, 46, 52, 78, 16, 99, 63, 84, 22, 44, 3, 90, 69, 86, 70, 29, 57, 93, 18, 90, 77, 95, 69, 63, 41, 12, 84, 28, 48, 32, 83, 17, 51, 28, 65, 36, 76, 75, 78, 96, 3, 45, 15, 60, 62, 49, 32, 17]\n"
+     ]
+    }
+   ],
+   "source": [
+    "sample_list_2 = []\n",
+    "for i in range(80):\n",
+    "    value = random.randint(0, 100)\n",
+    "    sample_list_2.append(value)\n",
+    "\n",
+    "print(sample_list_2)\n"
    ]
   },
   {
@@ -93,11 +128,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 51,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The length of set2 is 80\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "set2 = set(sample_list_2)\n",
+    "print(\"The length of set2 is\", len(set1))"
    ]
   },
   {
@@ -109,11 +154,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 52,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{0, 4, 5, 8, 10, 11, 13, 14, 19, 20, 23, 26, 27, 35, 37, 38, 42, 43, 47, 50, 54, 58, 59, 61, 64, 66, 67, 71, 73, 81, 87, 88, 89, 91, 94, 97, 98}\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "set3 = set1 - set2\n",
+    "print(set3)\n",
+    "#If we substract the elements from set2 from set1 we will get the set3 elements"
    ]
   },
   {
@@ -125,11 +180,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 53,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{65, 69, 41, 45, 77, 51, 84, 86, 24, 56}\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "set4 = set2 - set1\n",
+    "print(set4)\n",
+    "#Same as above, but the other way around"
    ]
   },
   {
@@ -141,11 +206,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 54,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{2, 3, 6, 9, 12, 15, 16, 17, 18, 22, 25, 28, 29, 30, 32, 34, 36, 40, 44, 46, 48, 49, 52, 55, 57, 60, 62, 63, 68, 70, 72, 74, 75, 76, 78, 79, 80, 83, 90, 93, 95, 96, 99}\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "set5 = set1 & set2\n",
+    "print(set5)\n",
+    "#We can use & to intersect both, avoiding repeated values"
    ]
   },
   {
@@ -157,11 +232,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 55,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here\n"
+    "set6 = set()"
    ]
   },
   {
@@ -173,11 +248,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 56,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{0, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 25, 26, 27, 28, 29, 30, 32, 34, 35, 36, 37, 38, 40, 42, 43, 44, 46, 47, 48, 49, 50, 52, 54, 55, 57, 58, 59, 60, 61, 62, 63, 64, 66, 67, 68, 70, 71, 72, 73, 74, 75, 76, 78, 79, 80, 81, 83, 87, 88, 89, 90, 91, 93, 94, 95, 96, 97, 98, 99}\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "set6.update(set3)\n",
+    "set6.update(set5)\n",
+    "print(set6)"
    ]
   },
   {
@@ -189,11 +274,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 57,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Equal\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "if set1 == set6:\n",
+    "    print(\"Equal\")\n",
+    "else:\n",
+    "    print(\"Not Equal\")\n"
    ]
   },
   {
@@ -205,11 +301,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Set1 does not contain Set2\n",
+      "Set1 contains Set3\n"
+     ]
+    }
+   ],
+   "source": [
+    "if set2.issubset(set1):\n",
+    "    print(\"Set1 contains Set2\")\n",
+    "else:\n",
+    "    print(\"Set1 does not contain Set2\")\n",
+    "\n",
+    "if set3.issubset(set1):\n",
+    "    print(\"Set1 contains Set3\")\n",
+    "else:\n",
+    "    print(\"Set1 does not contain Set3\")"
    ]
   },
   {
@@ -223,11 +336,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "These two sets are equal\n"
+     ]
+    }
+   ],
+   "source": [
+    "set3_4_5 = set3.union(set4).union(set5)\n",
+    "set1_2 = set1.union(set2)\n",
+    "\n",
+    "if set3_4_5 == set1_2:\n",
+    "    print(\"These two sets are equal\")\n",
+    "else:\n",
+    "    print(\"These two sets are not equal.\")\n"
    ]
   },
   {
@@ -239,11 +366,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 60,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "set1.pop()\n"
    ]
   },
   {
@@ -259,11 +397,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{2, 3, 4, 5, 6, 8, 10, 12, 13, 14, 15, 16, 17, 18, 20, 22, 23, 25, 26, 27, 28, 30, 32, 34, 35, 36, 37, 38, 40, 42, 43, 44, 46, 47, 48, 50, 52, 54, 55, 57, 58, 60, 62, 63, 64, 66, 67, 68, 70, 72, 73, 74, 75, 76, 78, 80, 83, 87, 88, 90, 93, 94, 95, 96, 97, 98}\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "list_to_remove = [1, 9, 11, 19, 21, 29, 31, 39, 41, 49, 51, 59, 61, 69, 71, 79, 81, 89, 91, 99]\n",
+    "\n",
+    "for item in list_to_remove:\n",
+    "    if item in set1:\n",
+    "        set1.remove(item)\n",
+    "\n",
+    "print(set1)\n"
    ]
   },
   {
@@ -278,7 +430,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 62,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -304,11 +456,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'garlic', 'watermelon', 'toilet paper', 'onions', 'yogurt', 'flour', 'cucumber', 'gums'}\n",
+      "set()\n",
+      "{'sugar', 'garlic', 'tomatoes', 'watermelon', 'blueberries', 'juice', 'yogurt', 'onions', 'milk', 'cucumber', 'gums'}\n",
+      "{'garlic', 'cherries', 'tomatoes', 'toilet paper', 'blueberries', 'onions', 'flour', 'water'}\n",
+      "set()\n"
+     ]
+    }
+   ],
+   "source": [
+    "father_set = set(father_list)\n",
+    "print(father_set)\n",
+    "\n",
+    "mother_set = set(mother_list)\n",
+    "print(mother_set)\n",
+    "\n",
+    "Jo_set = set(Jo_list)\n",
+    "print(Jo_set)\n",
+    "\n",
+    "Carlos_set = set(Carlos_list)\n",
+    "print(Carlos_set)\n",
+    "\n",
+    "Mattia_set = set(Mattia_list)\n",
+    "print(Mattia_set)"
    ]
   },
   {
@@ -322,11 +499,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 64,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'sugar', 'cherries', 'watermelon', 'toilet paper', 'juice', 'yogurt', 'flour', 'water', 'milk', 'cucumber', 'gums'}\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "new_set = Carlos_set.symmetric_difference(Jo_set)\n",
+    "Mattia_set = new_set.difference(Carlos_set.intersection(Jo_set))\n",
+    "print(Mattia_set)"
    ]
   },
   {
@@ -338,9 +525,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['deodorant', 'yogurt', 'shampoo', 'milk', 'juice', 'juice', 'milk', 'mushrooms', 'yogurt', 'tomatoes']\n"
+     ]
+    }
+   ],
    "source": [
     "import random\n",
     "items = ['milk', 'water', 'chocolate', 'blueberries', 'shampoo', 'flour', 'bread', 'sugar', 'watermelon', 'vinegar', 'tomatoes', 'yogurt', 'juice', 'gums', 'onions', 'garlic', 'cucumber', 'mushrooms', 'toilet paper', 'oranges', 'deodorant', 'cherries']\n",
@@ -352,11 +547,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'tomatoes', 'juice', 'yogurt', 'milk', 'deodorant', 'shampoo', 'mushrooms'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "mother_set = set(mother_list)\n",
+    "\n",
+    "print(mother_set)"
    ]
   },
   {
@@ -373,11 +578,42 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 76,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here\n"
+    "# Collect sets into a list\n",
+    "sets_list = [father_set, mother_set, Jo_set, Carlos_set, Mattia_set]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'garlic', 'watermelon', 'onions', 'yogurt', 'flour', 'cucumber', 'gums'}\n",
+      "{'tomatoes', 'juice', 'yogurt', 'milk', 'deodorant', 'shampoo', 'mushrooms'}\n",
+      "{'sugar', 'garlic', 'tomatoes', 'watermelon', 'blueberries', 'juice', 'yogurt', 'onions', 'milk', 'cucumber', 'gums'}\n",
+      "{'garlic', 'cherries', 'tomatoes', 'blueberries', 'onions', 'flour', 'water'}\n",
+      "{'sugar', 'cherries', 'watermelon', 'juice', 'yogurt', 'flour', 'water', 'milk', 'cucumber', 'gums'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Remove 'toilet paper' from each set\n",
+    "for my_set in sets_list:\n",
+    "    my_set.discard('toilet paper')\n",
+    "\n",
+    "# Print the updated sets\n",
+    "print(father_set)\n",
+    "print(mother_set)\n",
+    "print(Jo_set)\n",
+    "print(Carlos_set)\n",
+    "print(Mattia_set)"
    ]
   },
   {
@@ -389,11 +625,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 79,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'tomatoes', 'deodorant', 'shampoo', 'sugar', 'garlic', 'cherries', 'watermelon', 'onions', 'juice', 'yogurt', 'blueberries', 'flour', 'water', 'milk', 'cucumber', 'gums', 'mushrooms'}\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "groceries = father_set.union(mother_set, Jo_set, Carlos_set, Mattia_set)\n",
+    "print(groceries)"
    ]
   },
   {
@@ -405,14 +650,34 @@
     "##### Hint: use the `.pop()` method."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'sugar', 'garlic', 'tomatoes', 'deodorant', 'shampoo'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "five_items = set()\n",
+    "for i in range(5):\n",
+    "    item = groceries.pop()\n",
+    "    five_items.add(item)\n",
+    "\n",
+    "print(five_items)\n"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": [
-    "# Your code here\n"
-   ]
+   "source": []
   }
  ],
  "metadata": {
@@ -431,7 +696,12 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.10.7"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "721db305ef1fd1fc91cdf20e400af694a949fe540ac5f48c160f31c7e384879d"
+   }
   }
  },
  "nbformat": 4,
diff --git a/your-code/challenge-3.ipynb b/your-code/challenge-3.ipynb
index 7ab8ea5..95f0b40 100644
--- a/your-code/challenge-3.ipynb
+++ b/your-code/challenge-3.ipynb
@@ -15,7 +15,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -49,11 +49,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'a': 8, 'about': 1, 'all': 1, 'although': 3, 'and': 23, 'are': 1, 'at': 1, 'baby': 14, 'backseat': 1, 'bag': 1, 'bar': 1, 'be': 16, 'bedsheets': 3, 'begin': 1, 'best': 1, 'body': 17, 'boy': 2, 'brand': 6, 'can': 1, 'chance': 1, 'club': 1, 'come': 37, 'conversation': 1, 'crazy': 2, 'dance': 1, 'date': 1, 'day': 6, 'discovering': 6, 'do': 3, 'doing': 2, \"don't\": 2, 'drinking': 1, 'driver': 1, 'eat': 1, 'every': 6, 'falling': 3, 'family': 1, 'fast': 1, 'fill': 2, 'find': 1, 'first': 1, 'follow': 6, 'for': 3, 'friends': 1, 'get': 1, 'girl': 2, 'give': 1, 'go': 2, 'going': 1, 'grab': 2, 'hand': 1, 'handmade': 2, 'heart': 3, 'hours': 2, 'how': 1, 'i': 6, \"i'll\": 1, \"i'm\": 23, 'in': 27, 'is': 5, \"isn't\": 1, 'it': 1, 'jukebox': 1, 'just': 1, 'kiss': 1, 'know': 2, 'last': 3, 'lead': 6, 'leave': 1, 'let': 1, \"let's\": 2, 'like': 10, 'love': 25, 'lover': 1, 'magnet': 3, 'make': 1, 'man': 1, 'may': 2, 'me': 10, 'mind': 2, 'much': 2, 'my': 33, 'new': 6, 'night': 3, 'not': 2, 'now': 11, 'of': 6, 'okay': 1, 'on': 40, 'one': 1, 'our': 1, 'out': 1, 'over': 1, 'place': 1, 'plate': 1, 'play': 1, 'pull': 3, 'push': 3, 'put': 3, 'radio': 1, 'room': 3, 'say': 2, 'shape': 6, 'shots': 1, 'singing': 2, 'slow': 1, 'smell': 3, 'so': 2, 'somebody': 2, 'something': 6, 'sour': 1, 'start': 2, 'stop': 1, 'story': 1, 'sweet': 1, 'table': 1, 'take': 1, 'talk': 4, 'taxi': 1, 'tell': 1, 'that': 2, 'the': 18, 'then': 3, 'thrifty': 1, 'to': 2, 'too': 5, 'trust': 1, 'up': 3, 'van': 1, 'waist': 2, 'want': 2, 'was': 2, 'we': 7, \"we're\": 1, 'week': 1, 'were': 3, 'where': 1, 'with': 22, 'you': 16, 'your': 21}\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "keys = list(word_freq.keys())\n",
+    "keys.sort()\n",
+    "word_freq2 = {}\n",
+    "for key in keys:\n",
+    "    word_freq2[key] = word_freq[key]\n",
+    "print(word_freq2)\n"
    ]
   },
   {
@@ -90,11 +103,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'conversation': 1, \"we're\": 1, 'plate': 1, 'sour': 1, 'jukebox': 1, 'taxi': 1, 'fast': 1, 'bag': 1, 'man': 1, 'going': 1, 'one': 1, 'backseat': 1, 'friends': 1, 'take': 1, 'play': 1, 'okay': 1, 'begin': 1, 'over': 1, 'just': 1, 'are': 1, 'tell': 1, 'drinking': 1, 'our': 1, 'where': 1, \"i'll\": 1, 'all': 1, \"isn't\": 1, 'make': 1, 'lover': 1, 'get': 1, 'radio': 1, 'give': 1, 'can': 1, 'club': 1, 'it': 1, 'out': 1, 'chance': 1, 'first': 1, 'table': 1, 'thrifty': 1, 'driver': 1, 'slow': 1, 'dance': 1, 'trust': 1, 'family': 1, 'week': 1, 'date': 1, 'leave': 1, 'at': 1, 'hand': 1, 'how': 1, 'eat': 1, 'about': 1, 'story': 1, 'sweet': 1, 'best': 1, 'let': 1, 'van': 1, 'shots': 1, 'place': 1, 'find': 1, 'kiss': 1, 'stop': 1, 'bar': 1, \"don't\": 2, 'mind': 2, 'know': 2, 'so': 2, 'start': 2, 'boy': 2, 'girl': 2, 'singing': 2, 'doing': 2, 'somebody': 2, 'handmade': 2, 'may': 2, 'that': 2, 'much': 2, 'grab': 2, 'was': 2, 'say': 2, 'waist': 2, 'want': 2, \"let's\": 2, 'not': 2, 'crazy': 2, 'go': 2, 'to': 2, 'fill': 2, 'hours': 2, 'push': 3, 'then': 3, 'put': 3, 'room': 3, 'magnet': 3, 'up': 3, 'pull': 3, 'last': 3, 'do': 3, 'smell': 3, 'although': 3, 'falling': 3, 'were': 3, 'night': 3, 'heart': 3, 'for': 3, 'bedsheets': 3, 'talk': 4, 'too': 5, 'is': 5, 'every': 6, 'new': 6, 'follow': 6, 'brand': 6, 'of': 6, 'i': 6, 'day': 6, 'lead': 6, 'shape': 6, 'discovering': 6, 'something': 6, 'we': 7, 'a': 8, 'like': 10, 'me': 10, 'now': 11, 'baby': 14, 'you': 16, 'be': 16, 'body': 17, 'the': 18, 'your': 21, 'with': 22, \"i'm\": 23, 'and': 23, 'love': 25, 'in': 27, 'my': 33, 'come': 37, 'on': 40}\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "import operator\n",
+    "\n",
+    "sorted_word_freq = sorted(word_freq.items(), key=operator.itemgetter(1))\n",
+    "\n",
+    "word_freq2 = {}\n",
+    "for k, v in sorted_word_freq:\n",
+    "    word_freq2[k] = v\n",
+    "\n",
+    "print(word_freq2)\n"
    ]
   },
   {
@@ -110,7 +139,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -132,11 +161,81 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
+   "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>word</th>\n",
+       "      <th>freq</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>love</td>\n",
+       "      <td>25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>conversation</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>every</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>we're</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>plate</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           word  freq\n",
+       "0          love    25\n",
+       "1  conversation     1\n",
+       "2         every     6\n",
+       "3         we're     1\n",
+       "4         plate     1"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "df = pd.DataFrame(list(word_freq.items()), columns=['word', 'freq'])\n",
+    "df.head()"
    ]
   },
   {
@@ -150,11 +249,81 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
+   "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>word</th>\n",
+       "      <th>freq</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>120</th>\n",
+       "      <td>a</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>109</th>\n",
+       "      <td>about</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>43</th>\n",
+       "      <td>all</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>96</th>\n",
+       "      <td>although</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>72</th>\n",
+       "      <td>and</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         word  freq\n",
+       "120         a     8\n",
+       "109     about     1\n",
+       "43        all     1\n",
+       "96   although     3\n",
+       "72        and    23"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "df = df.sort_values('word', ascending=True)\n",
+    "df.head()"
    ]
   },
   {
@@ -166,12 +335,89 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
-   "outputs": [],
+   "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>word</th>\n",
+       "      <th>freq</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>114</th>\n",
+       "      <td>let</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>87</th>\n",
+       "      <td>trust</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>man</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>45</th>\n",
+       "      <td>make</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>46</th>\n",
+       "      <td>lover</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      word  freq\n",
+       "114    let     1\n",
+       "87   trust     1\n",
+       "11     man     1\n",
+       "45    make     1\n",
+       "46   lover     1"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "df = df.sort_values('freq', ascending=True)\n",
+    "df.head()\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -190,7 +436,12 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.2"
+   "version": "3.10.7"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "721db305ef1fd1fc91cdf20e400af694a949fe540ac5f48c160f31c7e384879d"
+   }
   }
  },
  "nbformat": 4,