Skip to content

Rodrigo Quintiliano Lab Day 2 #605

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 2 commits into
base: main
Choose a base branch
from
Open

Rodrigo Quintiliano Lab Day 2 #605

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
ebdf36a
Rodrigo Quintiliano Lab Day 2
RodrigoQuintiliano Oct 21, 2025
35a537e
Delete .ipynb_checkpoints directory
RodrigoQuintiliano Oct 21, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
204 changes: 203 additions & 1 deletion lab-python-data-structures.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -50,6 +50,208 @@
"\n",
"Solve the exercise by implementing the steps using the Python concepts of lists, dictionaries, sets, and basic input/output operations. "
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n"
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {},
"outputs": [],
"source": [
"inventory = {}"
]
},
{
"cell_type": "code",
"execution_count": 96,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"select quantity of available product: \n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"t-shirt: 10\n",
"mug: 10\n",
"hat: 10\n",
"book: 10\n",
"keychain: 10\n"
]
}
],
"source": [
"print(\"select quantity of available product: \")\n",
"for product in products:\n",
" quantity = int(input(f\"{product}: \"))\n",
" inventory[product] = quantity"
]
},
{
"cell_type": "code",
"execution_count": 97,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 10, 'mug': 10, 'hat': 10, 'book': 10, 'keychain': 10}\n"
]
}
],
"source": [
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 98,
"metadata": {},
"outputs": [],
"source": [
"customer_orders = set()"
]
},
{
"cell_type": "code",
"execution_count": 99,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"select 3 products that the client wants to order: \n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Product: t-shirt\n",
"Product: mug\n",
"Product: book\n"
]
}
],
"source": [
"print(\"select 3 products that the client wants to order: \")\n",
"for i in range(3):\n",
" order = input(f\"Product: \")\n",
" if order in products:\n",
" customer_orders.add(order)\n"
]
},
{
"cell_type": "code",
"execution_count": 104,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"customer_orders:\n",
"{'mug', 'book', 't-shirt'}\n"
]
}
],
"source": [
"print(\"\\ncustomer_orders:\")\n",
"print(customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 136,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 9, 'mug': 9, 'hat': 10, 'book': 9, 'keychain': 10}\n"
]
}
],
"source": [
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 138,
"metadata": {},
"outputs": [],
"source": [
"total_products_available = sum(inventory.values())\n",
"total_products_ordered = len(customer_orders)\n",
"percentage_ordered = (total_products_ordered / total_products_available) * 100"
]
},
{
"cell_type": "code",
"execution_count": 140,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics:\n",
"Total Products Ordered: 3\n",
"Percentage of Products Ordered: 6%\n"
]
}
],
"source": [
"print(\"Order Statistics:\")\n",
"print(f\"Total Products Ordered: {total_products_ordered}\")\n",
"print(f\"Percentage of Products Ordered: {percentage_ordered:.0f}%\")"
]
},
{
"cell_type": "code",
"execution_count": 123,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Updated Inventory:\n",
"t-shirt: 9\n",
"mug: 9\n",
"hat: 10\n",
"book: 9\n",
"keychain: 10\n"
]
}
],
"source": [
"for product in customer_orders:\n",
" if product in inventory and inventory[product] > 0:\n",
" inventory[product] -= 1\n",
"print(\"\\nUpdated Inventory:\")\n",
"for item, quantity in inventory.items():\n",
" print(f\"{item}: {quantity}\")"
]
}
],
"metadata": {
Expand All @@ -68,7 +270,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
Expand Down