Solved lab

lab-python-data-structures.ipynb

@@ -50,11 +50,76 @@
     "\n",
     "Solve the exercise by implementing the steps using the Python concepts of lists, dictionaries, sets, and basic input/output operations. "
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 20, 'mug': 40, 'hat': 3, 'book': 2, 'keychain': 10}\n",
+      "{'hat', 'book', 'keychain'}\n",
+      "3\n",
+      "0.04\n",
+      "(3, 0.04)\n",
+      "{'t-shirt': 19, 'mug': 39, 'hat': 2, 'book': 1, 'keychain': 9}\n"
+     ]
+    }
+   ],
+   "source": [
+    "products=[\"t-shirt\",\"mug\",\"hat\", \"book\", \"keychain\"] #. Define a list called `products` that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n",
+    "inventory= {} # Create an empty dictionary called `inventory`.\n",
+    "tshiqty = int(input(\"Enter t-shirt quantity : \"))\n",
+    "mugqty = int(input(\"Enter mug quantity : \"))\n",
+    "hatqty = int(input(\"Enter hat quantity : \"))\n",
+    "booqty = int(input(\"Enter book quantity : \"))\n",
+    "chaqty = int(input(\"Enter keychain quantity : \")) #. Ask the user to input the quantity of each product available in the inventory. \n",
+    "inventory= {products[0]:tshiqty,products[1]:mugqty,products[2]:hatqty,products[3]:booqty,products[4]:chaqty} #Use the product names from the `products` list as keys in the `inventory` dictionary and assign the respective quantities as values.\n",
+    "\n",
+    "customer_orders=set() #4. Create an empty set called `customer_orders`.\n",
+    "\n",
+    "pro_1 = input(\"Enter one of these: t-shirt, mug, hat, book, keychain: \")\n",
+    "pro_2 = input(\"Enter one of these: t-shirt, mug, hat, book, keychain: \")\n",
+    "pro_3 = input(\"Enter one of these: t-shirt, mug, hat, book, keychain: \") #5. Ask the user to input the name of three products that a customer wants to order (from those in the products list, meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\".\n",
+    "customer_orders.add(pro_1)\n",
+    "customer_orders.add(pro_2)\n",
+    "customer_orders.add(pro_3) #Add each product name to the `customer_orders` set.\n",
+    "\n",
+    "print(inventory)\n",
+    "print(customer_orders) #Print the products in the `customer_orders` set.\n",
+    "\n",
+    "totalorders= len(customer_orders)\n",
+    "#totalavailable=len(inventory) (not working cos is always 5)\n",
+    "totalavailable=sum(inventory.values())\n",
+    "percentageordered=totalorders/totalavailable\n",
+    "order_status = (totalorders, percentageordered)#Calculate the order statistics\n",
+    "\n",
+    "\n",
+    "print(totalorders)\n",
+    "print(percentageordered)\n",
+    "print(order_status) # Print the order statistics \n",
+    "\n",
+    "\n",
+    "for product in inventory:           \n",
+    "        inventory[product] -= 1 #9. Update the inventory by subtracting 1 from the quantity of each product. Modify the `inventory` dictionary accordingly.\n",
+    "\n",
+    "print(inventory) #10. Print the updated inventory\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +133,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.7"
   }
  },
  "nbformat": 4,