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250 changes: 249 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 +43,254 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "ab63b15e-b917-4ac1-bcac-debf233ee5ba",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['t-shirt', 'mug', 'hat', 'book', 'keychain']"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"products"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "72cd0621-a051-47a1-ad73-01924a7ce63f",
"metadata": {},
"outputs": [],
"source": [
"# 1.\n",
"def initialize_inventory(products):\n",
" inventory = {}\n",
" for product in products:\n",
" value = int(input(f\"Number of {product}:\"))\n",
" inventory[product] = value\n",
" return inventory\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "4f678249-6797-4c16-a3b2-5d71279746a0",
"metadata": {},
"outputs": [],
"source": [
"# 2.\n",
"def get_customer_orders():\n",
" customer_orders = set()\n",
" continue_adding = \"yes\"\n",
"\n",
" while continue_adding == \"yes\":\n",
" product = input(\"Enter the name of a product: \")\n",
" product = product.lower()\n",
"\n",
" if product in products: \n",
" customer_orders.add(product) \n",
" else:\n",
" print(\"This product is not available\")\n",
" continue_adding = input(\"Do you want to continue adding products? yes/no: \").lower() \n",
" \n",
" return customer_orders"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "978093db-0e85-4a90-aaa2-388eccd49635",
"metadata": {},
"outputs": [],
"source": [
"# 3.\n",
"def update_inventory(customer_orders,inventory):\n",
" for product in customer_orders: \n",
" inventory[product] = inventory[product]-1\n",
" return inventory "
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "3aa06beb-e5d3-4e5e-a79a-ff5a7d886ec4",
"metadata": {},
"outputs": [],
"source": [
"# 4.\n",
"def calculate_order_statistics(customer_orders, products):\n",
" total = (len(customer_orders))\n",
" percentage = len(customer_orders)/len(products)*100\n",
" order_status = (total, percentage)\n",
" return order_status\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "f1d59ae8-88ac-4bb9-a4c9-2968595dbae7",
"metadata": {},
"outputs": [],
"source": [
"# 5.\n",
"def print_order_statistics(order_statistics):\n",
" print(\"Order Statistics:\")\n",
" print(f\"Total products ordered: {order_statistics[0]}\")\n",
" print(f\"Percentage of products ordered: {order_statistics[1]}%\")\n"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "f9fc6b12-680f-4ed2-85a5-7832feeb3586",
"metadata": {},
"outputs": [],
"source": [
"# 6.\n",
"def print_updated_inventory(inventory):\n",
" print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "2034ce46-aa75-42cd-b78f-f0d8d798900f",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Number of t-shirt: 10\n",
"Number of mug: 10\n",
"Number of hat: 10\n",
"Number of book: 10\n",
"Number of keychain: 10\n"
]
}
],
"source": [
"inventory = initialize_inventory(products)"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "3161c44f-fd7a-4a51-a855-99060f8f6220",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the name of a product: Mug\n",
"Do you want to continue adding products? yes/no: yes\n",
"Enter the name of a product: banana\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"This product is not available\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Do you want to continue adding products? yes/no: Yes\n",
"Enter the name of a product: Hat\n",
"Do you want to continue adding products? yes/no: yes\n",
"Enter the name of a product: mug\n",
"Do you want to continue adding products? yes/no: yes\n",
"Enter the name of a product: Book\n",
"Do you want to continue adding products? yes/no: No\n"
]
}
],
"source": [
"customer_orders = get_customer_orders()"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "30874f15-ed48-499f-bc84-b4634333c749",
"metadata": {},
"outputs": [],
"source": [
"inventory = update_inventory(customer_orders, inventory)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "e07bd44d-2c32-4560-a4a9-233663865f57",
"metadata": {},
"outputs": [],
"source": [
"order_statistics = calculate_order_statistics(customer_orders, products)"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "f5685b28-2cd8-4679-96cb-ae2b4d149c23",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics:\n",
"Total products ordered: 3\n",
"Percentage of products ordered: 60.0%\n"
]
}
],
"source": [
"print_order_statistics(order_statistics)"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "b6406f7a-c63d-4faa-b4e3-df4778b186f5",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 10, 'mug': 8, 'hat': 8, 'book': 8, 'keychain': 10}\n"
]
}
],
"source": [
"print_updated_inventory(inventory)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ac190a99-2b36-4acc-a1ec-eebb2268936d",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -61,7 +309,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
Expand Down