Skip to content

Ricardo Santos - lab done: data structures #659

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
RVazSantos wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Ricardo Santos - lab done: data structures #659

Changes from all commits
Commits
Show all changes
1 commit
Select commit
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
82 changes: 80 additions & 2 deletions lab-python-data-structures.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -50,11 +50,89 @@
"\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": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'hat', 'mug', 'book'}\n",
"{'t-shirt': 10, 'mug': 19, 'hat': 29, 'book': 39, 'keychain': 50}\n",
"Order Statistics:\n",
"Total Products Ordered:3\n",
"Percentage of Products Ordered:60.00%\n",
"Quantity of t-shirt is 10\n",
"Quantity of mug is 19\n",
"Quantity of hat is 29\n",
"Quantity of book is 39\n",
"Quantity of keychain is 50\n"
]
}
],
"source": [
"#step 1\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"#step 2\n",
"inventory = {}\n",
"#step 3\n",
"for product in products:\n",
" while True:\n",
" n = input(f\"Please provide the amount of {product}\")\n",
" if n.isdigit() == True:\n",
" inventory[product]= int(n)\n",
" break\n",
" else:\n",
" print(\"Please provide an acceptable number of pieces\")\n",
"\n",
"#step 4\n",
"customer_orders = set()\n",
"#print(customer_orders)\n",
"\n",
"#step 5\n",
"i = 0\n",
"while i < 3:\n",
" prod = input(\"Please provide a product to order:\")\n",
" if prod not in products:\n",
" prod = input(\"That product is not available!\")\n",
" elif prod in customer_orders:\n",
" print(\"Warning: This product is already in your order!Please repeat your order.\")\n",
" else:\n",
" customer_orders.add(prod)\n",
" i += 1\n",
"#step 9\n",
" inventory[prod] -= 1\n",
"\n",
"#step 6\n",
"print(customer_orders)\n",
"#print(inventory)\n",
"\n",
"#step 7\n",
"total_prod = len(customer_orders)\n",
"perc_prod = (len(customer_orders) / len(products)) * 100\n",
"\n",
"#print(total_prod)\n",
"#print(perc_prod)\n",
"\n",
"order_status = (total_prod, perc_prod)\n",
"#type(order_status)\n",
"\n",
"#step 8\n",
"print(\"Order Statistics:\")\n",
"print(f\"Total Products Ordered:{total_prod}\")\n",
"print(f\"Percentage of Products Ordered:{perc_prod:.2f}%\")\n",
"#step 10\n",
"for product in inventory:\n",
" print(f\"Quantity of {product} is {inventory[product]}\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -68,7 +146,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.9"
}
},
"nbformat": 4,
Expand Down