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151 changes: 148 additions & 3 deletions lab-python-functions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -43,13 +43,158 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "871628ae-e4d6-4db2-938f-dc9860659f33",
"metadata": {},
"outputs": [],
"source": [
"#1.\n",
"def initialize_inventory(products):\n",
" inventory={}\n",
" for product in products:\n",
" inventory[product]=int(input(f\"Enter the number of available {product}\"))\n",
" return inventory\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "279357e0-b2e7-4b5e-a4e2-f35ef7b11a48",
"metadata": {},
"outputs": [],
"source": [
"#2.\n",
"\n",
"def get_customer_orders():\n",
" customer_orders=set() #set\n",
" choice=\"yes\"\n",
" while choice.lower() == \"yes\":\n",
" customer_orders.add(input(f\"Enter a product that you want to order from {products} \"))\n",
" choice= input(\"Do you want to add another product (yes/no)\")\n",
" return customer_orders\n",
" \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "5f78783d-bee6-48a2-a628-767fc886837d",
"metadata": {},
"outputs": [],
"source": [
"#3.\n",
"def update_inventory(customer_orders,inventory):\n",
" for customer_order in customer_orders:\n",
" if customer_order in inventory and inventory[customer_order]>0:\n",
" inventory[customer_order]=inventory[customer_order]-1\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "f9bb5c26-84b6-4501-884a-a11abf8df88d",
"metadata": {},
"outputs": [],
"source": [
"#4.\n",
"def calculate_order_statistics(customer_orders,products):\n",
" total_products_ordered=len(customer_orders)\n",
" percentage_ordered =100*total_products_ordered/len(products)\n",
" order_statistics=(total_products_ordered,percentage_ordered)\n",
" return order_statistics\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "5639cd02-c8ed-468d-85f7-f1f936a7bc3a",
"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",
"\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "19df2eb6-9119-441b-a4a8-d46930f6fa75",
"metadata": {},
"outputs": [],
"source": [
"#6.\n",
"def print_updated_inventory(inventory):\n",
" for key,value in inventory.items():\n",
" print(f\"{key}-{value}\")\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "db12a6b1-fd18-4b70-971f-65af20da227d",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the number of available t-shirt 8\n",
"Enter the number of available mug 5\n",
"Enter the number of available hat 6\n",
"Enter the number of available book 2\n",
"Enter the number of available keychain 1\n",
"Enter a product that you want to order from ['t-shirt', 'mug', 'hat', 'book', 'keychain'] t-shirt\n",
"Do you want to add another product (yes/no) yes\n",
"Enter a product that you want to order from ['t-shirt', 'mug', 'hat', 'book', 'keychain'] mug\n",
"Do you want to add another product (yes/no) yes\n",
"Enter a product that you want to order from ['t-shirt', 'mug', 'hat', 'book', 'keychain'] hat\n",
"Do you want to add another product (yes/no) yes\n",
"Enter a product that you want to order from ['t-shirt', 'mug', 'hat', 'book', 'keychain'] book\n",
"Do you want to add another product (yes/no) no\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics:\n",
"Total Products Ordered: 4\n",
"Percentage of Products Ordered: 80.0% \n",
"t-shirt-7\n",
"mug-4\n",
"hat-5\n",
"book-1\n",
"keychain-1\n"
]
}
],
"source": [
"#7.\n",
"products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"] #products list\n",
"inventory=initialize_inventory(products)\n",
"customer_orders=get_customer_orders() \n",
"update_inventory(customer_orders,inventory)\n",
"order_statistics=calculate_order_statistics(customer_orders,products)\n",
"print_order_statistics(order_statistics)\n",
"print_updated_inventory(inventory)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python [conda env:base] *",
"language": "python",
"name": "python3"
"name": "conda-base-py"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -61,7 +206,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.12.7"
}
},
"nbformat": 4,
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