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Lab Answers Day 3 #464

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271f091
Solutions of Lab Day 3
cfcuadrac Jul 9, 2025
52d78a2
New Updated Answer
cfcuadrac Jul 9, 2025
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246 changes: 242 additions & 4 deletions lab-python-flow-control.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,7 @@
},
{
"cell_type": "markdown",
"id": "3851fcd1-cf98-4653-9c89-e003b7ec9400",
"id": "5a4b9d59-d3a6-46dd-a714-d6cd466deb5b",
"metadata": {},
"source": [
"## Exercise: Managing Customer Orders Optimized\n",
Expand All @@ -37,13 +37,251 @@
"\n",
"3. Instead of updating the inventory by subtracting 1 from the quantity of each product, only do it for the products that were ordered (those in \"customer_orders\")."
]
},
{
"cell_type": "code",
"execution_count": 139,
"id": "c1d5935f-266a-4c83-8a4f-bc12d27f409c",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Amount of tshirts available: 5\n",
"Amount of mugs available: 5\n",
"Amount of hats available: 5\n",
"Amount of books available: 5\n",
"Amount of keychains available: 5\n"
]
}
],
"source": [
"products = [\"tshirts\", \"mugs\", \"hats\", \"books\", \"keychains\"]\n",
"inventory = {}\n",
"\n",
"for items in products:\n",
" inventory[items] = int(input(f\"Amount of {items} available:\"))"
]
},
{
"cell_type": "code",
"execution_count": 140,
"id": "f4c87915-45ef-4934-8f82-1c52d62139b7",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'tshirts': 5, 'mugs': 5, 'hats': 5, 'books': 5, 'keychains': 5}\n"
]
}
],
"source": [
"type(inventory)\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 141,
"id": "e56fc9b6-00b9-451f-a996-8995323d7f3e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"set"
]
},
"execution_count": 141,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"customer_order = set()\n",
"type(customer_order)"
]
},
{
"cell_type": "code",
"execution_count": 142,
"id": "47f18003-44f8-4f9e-b784-f6d6f8f5f018",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the name of the Product#1 you want: mugs\n",
"Enter the name of the Product#2 you want: hats\n",
"Enter the name of the Product#3 you want: tshirts\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"These are the products you ordered: {'mugs', 'hats', 'tshirts'}\n"
]
}
],
"source": [
"for product in [\"Product#1\", \"Product#2\", \"Product#3\"]:\n",
" new_order = input(f\"Enter the name of the {product} you want: \")\n",
" customer_order.add(new_order)\n",
"print(\"These are the products you ordered:\", customer_order)"
]
},
{
"cell_type": "code",
"execution_count": 143,
"id": "ca794f04-f14e-4ef1-beb5-6891b951e923",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Do you want another product? no\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"You need to add more products to move forward\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Do you want another product? yes\n"
]
}
],
"source": [
"new_products = input(\"Do you want another product?\")\n",
"while new_products == \"no\":\n",
" print(\"You need to add more products to move forward\")\n",
" new_products = input(\"Do you want another product?\")"
]
},
{
"cell_type": "code",
"execution_count": 144,
"id": "9ff67eb2-3c19-48cd-a453-0709bfddbbd7",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total Products Ordered: 3\n"
]
}
],
"source": [
"total_products_ordered = len(customer_order)\n",
"print(\"Total Products Ordered:\", len(customer_order))"
]
},
{
"cell_type": "code",
"execution_count": 145,
"id": "835b0f57-971f-410c-821c-cd30c1d0bf17",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total Available Products: 25\n",
"Total Products Ordered: 3\n",
"Percentage of Products Ordered: 12.0 %\n"
]
}
],
"source": [
"total_available_products = sum(inventory.values())\n",
"print(\"Total Available Products:\",total_available_products)\n",
"print(\"Total Products Ordered: \", total_products_ordered)\n",
"percentage_ordered = (total_products_ordered / total_available_products)*100\n",
"print(\"Percentage of Products Ordered:\", percentage_ordered,\"%\")"
]
},
{
"cell_type": "code",
"execution_count": 146,
"id": "ab8a7738-de70-4a43-be1d-53715d59e1cf",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total Products Ordered:: 3\n",
"Total Available Products: 25\n"
]
}
],
"source": [
"order_status = (total_products_ordered, total_available_products)\n",
"print(\"Total Products Ordered::\", order_status[0])\n",
"print(\"Total Available Products:\", order_status[1])"
]
},
{
"cell_type": "code",
"execution_count": 147,
"id": "4411799f-3fe0-40f6-84c1-fe6b6933ada6",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'tshirts': 5, 'mugs': 5, 'hats': 5, 'books': 5, 'keychains': 5}"
]
},
"execution_count": 147,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"inventory"
]
},
{
"cell_type": "code",
"execution_count": 148,
"id": "c3cb13e9-66e6-4c14-be10-4492e9fa8aa3",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"New Updated Inventory {'tshirts': 4, 'mugs': 4, 'hats': 4, 'books': 5, 'keychains': 5}\n"
]
}
],
"source": [
"for item in customer_order:\n",
" inventory[item] -= 1\n",
"\n",
"print(\"New Updated Inventory\", inventory)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "anaconda-panel-2023.05-py310",
"language": "python",
"name": "python3"
"name": "conda-env-anaconda-panel-2023.05-py310-py"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -55,7 +293,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.11.5"
}
},
"nbformat": 4,
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