BC_lab

Lab Python Functions.ipynb

@@ -0,0 +1,228 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "e14eafed",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def initialize_inventory(products):\n",
+    "    inventory = {}\n",
+    "    for product in products:\n",
+    "        while True:\n",
+    "            try:\n",
+    "                quantity = input(f\"Enter the quantity for {product}: \").strip()\n",
+    "                if not quantity:  \n",
+    "                    raise ValueError(\"Input cannot be empty.\")\n",
+    "                quantity = int(quantity)  \n",
+    "                if quantity < 0:  \n",
+    "                    raise ValueError(\"Quantity cannot be negative.\")\n",
+    "                inventory[product] = quantity\n",
+    "                break\n",
+    "            except ValueError as e:\n",
+    "                print(f\"Invalid input: {e}. Please enter a valid number.\")\n",
+    "    return inventory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "689be0c7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_customer_orders():\n",
+    "    customer_orders = {}\n",
+    "    print(\"Enter customer orders. Type 'done' to finish.\")\n",
+    "    while True:\n",
+    "        product = input(\"Enter product name (or 'done' to finish): \").strip()\n",
+    "        if product.lower() == 'done':\n",
+    "            break\n",
+    "        try:\n",
+    "            quantity = input(f\"Enter quantity for {product}: \").strip()\n",
+    "            if not quantity:  \n",
+    "                raise ValueError(\"Input cannot be empty.\")\n",
+    "            quantity = int(quantity) \n",
+    "            if quantity < 0:  \n",
+    "                raise ValueError(\"Quantity cannot be negative.\")\n",
+    "            customer_orders[product] = customer_orders.get(product, 0) + quantity\n",
+    "        except ValueError as e:\n",
+    "            print(f\"Invalid input: {e}. Please enter a valid number.\")\n",
+    "    return customer_orders\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "a1a7a39d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def update_inventory(customer_orders, inventory):\n",
+    "    for product, quantity in customer_orders.items():\n",
+    "        if product in inventory:\n",
+    "            inventory[product] -= quantity\n",
+    "            if inventory[product] < 0:\n",
+    "                print(f\"Warning: Not enough {product} in stock. Setting to 0.\")\n",
+    "                inventory[product] = 0\n",
+    "        else:\n",
+    "            print(f\"Warning: {product} is not in inventory.\")\n",
+    "    return inventory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "ada60701",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def calculate_order_statistics(customer_orders, products):\n",
+    "    total_products_ordered = sum(customer_orders.values())\n",
+    "    unique_products_ordered = len([product for product in customer_orders if product in products])\n",
+    "    total_products = len(products)\n",
+    "    percentage_unique_ordered = (unique_products_ordered / total_products) * 100 if total_products > 0 else 0\n",
+    "    return total_products_ordered, percentage_unique_ordered"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "3958f74c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def print_order_statistics(order_statistics):\n",
+    "    total_products_ordered, percentage_unique_ordered = order_statistics\n",
+    "    print(f\"Total Products Ordered: {total_products_ordered}\")\n",
+    "    print(f\"Percentage of Unique Products Ordered: {percentage_unique_ordered:.2f}%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "0d962c75",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def print_updated_inventory(inventory):\n",
+    "    print(\"Updated Inventory:\")\n",
+    "    for product, quantity in inventory.items():\n",
+    "        print(f\"{product}: {quantity}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f80e484a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if __name__ == \"__main__\":\n",
+    "    products_list = [\"Apple\", \"Banana\", \"Orange\"]  \n",
+    "    inventory = initialize_inventory(products_list)\n",
+    "    print(\"Initialized Inventory:\", inventory)\n",
+    "\n",
+    "    customer_orders = get_customer_orders()\n",
+    "    print(\"Customer Orders:\", customer_orders)\n",
+    "\n",
+    "    inventory = update_inventory(customer_orders, inventory)\n",
+    "    order_statistics = calculate_order_statistics(customer_orders, products_list)\n",
+    "    \n",
+    "    print_order_statistics(order_statistics)\n",
+    "    print_updated_inventory(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "29ddb4c6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_orders = {\"Apple\": 5, \"Banana\": 2, \"Orange\": 7}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "0f4a1686",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products_list.sort() \n",
+    "filtered_products = [p for p in products_list if p.startswith(\"A\")]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "ec9dfa10",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total Revenue: 25.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "prices = {\"Apple\": 2.5, \"Banana\": 1.0, \"Orange\": 1.5}\n",
+    "total_revenue = sum(customer_orders[product] * prices.get(product, 0) for product in customer_orders)\n",
+    "print(\"Total Revenue:\", total_revenue)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "2847f2b7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[{'product': 'Apple', 'quantity': 3}, {'product': 'Banana', 'quantity': 10}, {'product': 'Orange', 'quantity': 4}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "bulk_orders = [\n",
+    "    {\"product\": \"Apple\", \"quantity\": 3},\n",
+    "    {\"product\": \"Banana\", \"quantity\": 10},\n",
+    "    {\"product\": \"Orange\", \"quantity\": 4},\n",
+    "]\n",
+    "\n",
+    "for order in bulk_orders:\n",
+    "    product, quantity = order[\"product\"], order[\"quantity\"]\n",
+    "    customer_orders[product] = customer_orders.get(product, 0) + quantity\n",
+    "\n",
+    "print(bulk_orders)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}