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213 changes: 212 additions & 1 deletion lab-python-functions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -43,6 +43,217 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "60a6c958-9113-4b22-b16f-ea300626bc0a",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"enter a quantity for t-shirt: 2\n",
"enter a quantity for mug: 3\n",
"enter a quantity for hat: 1\n",
"enter a quantity for book: 5\n",
"enter a quantity for keychain: 7\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Initialized inventory: {'t-shirt': 2, 'mug': 3, 'hat': 1, 'book': 5, 'keychain': 7}\n"
]
}
],
"source": [
"1.\n",
"products_list =[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"\n",
"def initialize_inventory (products_list):\n",
" inventory = {}\n",
" for product in products:\n",
" quantity = int(input(f\"enter a quantity for {product}:\"))\n",
" inventory[product] = quantity\n",
" \n",
" return inventory\n",
"\n",
"inventory = initialize_inventory(products_list)\n",
"print(\"Initialized inventory:\", inventory)\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "95940a1f-c61c-4bc7-8a9c-373e3779300d",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the name of a product to order: t-shirt\n",
"Do you want to add another product: Yes ou No? no\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Customer orders are: {'t-shirt'}\n"
]
}
],
"source": [
"2.\n",
"def get_customer_orders ():\n",
" customer_orders = set ()\n",
" while True:\n",
" product = (input(\"Enter the name of a product to order:\"))\n",
" customer_orders.add(product)\n",
" answer = input(\"Do you want to add another product: Yes ou No?\")\n",
" if answer.lower() != \"Yes\":\n",
" break\n",
" print(\"Customer orders are:\", customer_orders) \n",
"get_customer_orders()"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "63d06a11-e2b2-4ea9-ba17-0f020a72b22a",
"metadata": {},
"outputs": [],
"source": [
"3.\n",
"\n",
"def update_inventory (customer_orders , inventory):\n",
" for product in costumer_order:\n",
" if product in inventory:\n",
" inventory [product] -= 1\n",
" return inventory\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "d704c4f8-4283-43d1-8887-e71a57e8fd59",
"metadata": {},
"outputs": [],
"source": [
"4.\n",
"\n",
"import math\n",
"def calculate_order_statistics (ustomer_orders , products):\n",
" total_ordered = len(customer_orders)\n",
" total_product = len (products)\n",
" percentage_unique = (total_ordered/total_product)*100\n",
" return total_ordered, percentage unique"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "26fbe696-7ed0-4304-8038-190ffce07bda",
"metadata": {},
"outputs": [],
"source": [
"5.\n",
"\n",
"def print_order_statistics ( order_statistics ):\n",
" total_ordered, percentage_unique = order_statistique\n",
" print (f\"total products ordered:{total_ordered}\")\n",
" print (f\"percentage of unique products ordered: {percentage_unique}\")"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "f86ce94d-e6f6-4243-90cd-0c4d7861e5da",
"metadata": {},
"outputs": [],
"source": [
"6.\n",
"\n",
"def print_updated_inventory (inventory):\n",
" for product, quantity in inventory.items():\n",
" print(f\"{product}: {quantity}\")"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "c391fb3d-e71d-426d-a695-019504a44bd0",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"enter a quantity for t-shirt: 4\n",
"enter a quantity for mug: 3\n",
"enter a quantity for hat: 8\n",
"Enter the name of a product to order: t-shirt\n",
"Do you want to add another product: Yes ou No? yes\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Customer orders are: {'t-shirt'}\n"
]
},
{
"ename": "TypeError",
"evalue": "object of type 'NoneType' has no len()",
"output_type": "error",
"traceback": [
"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
"\u001b[31mTypeError\u001b[39m Traceback (most recent call last)",
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[27]\u001b[39m\u001b[32m, line 8\u001b[39m\n\u001b[32m 4\u001b[39m inventory = initialize_inventory(products)\n\u001b[32m 6\u001b[39m customer_orders = get_customer_orders()\n\u001b[32m----> \u001b[39m\u001b[32m8\u001b[39m order_statistics = \u001b[43mcalculate_order_statistics\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcustomer_orders\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mproducts\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 10\u001b[39m updated_inventory = update_inventory(customer_orders, inventory)\n\u001b[32m 12\u001b[39m print_order_statistics(order_statistics)\n",
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[20]\u001b[39m\u001b[32m, line 5\u001b[39m, in \u001b[36mcalculate_order_statistics\u001b[39m\u001b[34m(ustomer_orders, products)\u001b[39m\n\u001b[32m 4\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mcalculate_order_statistics\u001b[39m (ustomer_orders , products):\n\u001b[32m----> \u001b[39m\u001b[32m5\u001b[39m total_ordered = \u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mcustomer_orders\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 6\u001b[39m total_product = \u001b[38;5;28mlen\u001b[39m (products)\n\u001b[32m 7\u001b[39m percentage = (total_ordered/total_product)*\u001b[32m100\u001b[39m\n",
"\u001b[31mTypeError\u001b[39m: object of type 'NoneType' has no len()"
]
}
],
"source": [
"7. \n",
"products = [\"t-shirt\", \"mug\", \"hat\"]\n",
"\n",
"inventory = initialize_inventory(products)\n",
"\n",
"customer_orders = get_customer_orders()\n",
"\n",
"order_statistics = calculate_order_statistics(customer_orders, products)\n",
"\n",
"updated_inventory = update_inventory(customer_orders, inventory)\n",
"\n",
"print_order_statistics(order_statistics)\n",
"\n",
"print_updated_inventory(updated_inventory)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ce314f8a-bf37-4773-bd01-9d7bde50705a",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "bb99d277-2dd6-4fe6-9ad9-eb7533a1459b",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -61,7 +272,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.11"
}
},
"nbformat": 4,
Expand Down