Week1 Lab3 Done

lab-python-functions.ipynb

@@ -8,6 +8,138 @@
     "# Lab | Functions"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "252b5113",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function 1: Initialize inventory\n",
+    "def initialize_inventory(products):\n",
+    "    inventory = {}\n",
+    "    for product in products:\n",
+    "        quantity = int(input(f\"Enter quantity available for {product}: \"))\n",
+    "        inventory[product] = quantity\n",
+    "    return inventory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "233e98fa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function 2: Get customer orders\n",
+    "def get_customer_orders(products):\n",
+    "    customer_orders = set()\n",
+    "    while True:\n",
+    "        product = input(\"Enter a product to order: \").strip().lower()\n",
+    "        if product in products:\n",
+    "            customer_orders.add(product)\n",
+    "        else:\n",
+    "            print(\"Invalid product. Skipped.\")\n",
+    "        another = input(\"Do you want to add another product? (yes/no): \").strip().lower()\n",
+    "        if another != \"yes\":\n",
+    "            break\n",
+    "    return customer_orders"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "c6326956",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function 3: Update inventory\n",
+    "def update_inventory(customer_orders, inventory):\n",
+    "    for item in customer_orders:\n",
+    "        if item in inventory and inventory[item] > 0:\n",
+    "            inventory[item] -= 1\n",
+    "    return inventory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "92256644",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function 4: Calculate order statistics\n",
+    "def calculate_order_statistics(customer_orders, products):\n",
+    "    total_ordered = len(customer_orders)\n",
+    "    percent_ordered = (total_ordered / len(products)) * 100\n",
+    "    return (total_ordered, f\"{percent_ordered:.2f}%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "7b8f7e9f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function 5: Print order statistics\n",
+    "def print_order_statistics(order_status):\n",
+    "    print(\"Order Statistics:\")\n",
+    "    print(\"Total Products Ordered:\", order_status[0])\n",
+    "    print(\"Percentage of Products Ordered:\", order_status[1])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "ca57dac4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Function 6: Print updated inventory\n",
+    "def print_updated_inventory(inventory):\n",
+    "    print(\"Updated Inventory:\")\n",
+    "    for product, qty in inventory.items():\n",
+    "        print(f\"{product}: {qty}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "42a93596",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics:\n",
+      "Total Products Ordered: 2\n",
+      "Percentage of Products Ordered: 40.00%\n",
+      "Updated Inventory:\n",
+      "t-shirt: 9\n",
+      "mug: 7\n",
+      "hat: 4\n",
+      "book: 6\n",
+      "keychain: 4\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Main function to run all steps\n",
+    "def main():\n",
+    "    products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "    inventory = initialize_inventory(products)\n",
+    "    customer_orders = get_customer_orders(products)\n",
+    "    inventory = update_inventory(customer_orders, inventory)\n",
+    "    order_status = calculate_order_statistics(customer_orders, products)\n",
+    "    print_order_statistics(order_status)\n",
+    "    print_updated_inventory(inventory)\n",
+    "\n",
+    "# Run the full program\n",
+    "main()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "0c581062-8967-4d93-b06e-62833222f930",
@@ -47,7 +179,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -61,7 +193,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,