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Lab solved_Day1 #623

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d8d9358
Lab solved
chiaralanzi93-create Nov 19, 2025
779ed66
Lab solved
chiaralanzi93-create Nov 20, 2025
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264 changes: 261 additions & 3 deletions lab-python-data-structures.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -50,13 +50,271 @@
"\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": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['t-shirt', 'mug', 'hat', 'book', 'keychain']\n"
]
}
],
"source": [
"# 1\n",
"products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"print(products)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"#2\n",
"inventory={ }"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"enter the qty of each ['t-shirt', 'mug', 'hat', 'book', 'keychain'] 4\n",
"enter the qty of each ['t-shirt', 'mug', 'hat', 'book', 'keychain'] 5\n",
"enter the qty of each ['t-shirt', 'mug', 'hat', 'book', 'keychain'] 6\n",
"enter the qty of each ['t-shirt', 'mug', 'hat', 'book', 'keychain'] 7\n",
"enter the qty of each ['t-shirt', 'mug', 'hat', 'book', 'keychain'] 3\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"current inventory is: 3\n"
]
}
],
"source": [
"#3 option 1\n",
"products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory={ }\n",
"for product in products: #iteration - loop\n",
" qty = int(input(f\"enter the qty of each {products}\"))\n",
"print('current inventory is:',qty)\n",
"\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"t-shirt:4\n",
"mug:5\n",
"hat:6\n",
"book:7\n",
"keychain:3\n"
]
}
],
"source": [
"#3 option 2\n",
"products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory={\"t-shirt\":4, \"mug\":5, \"hat\":6, \"book\":7, \"keychain\":3}\n",
"for product, qty in inventory.items(): \n",
" print(f\"{product}:{qty}\")\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"#4\n",
"customer_orders = ()\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"enter 3 products from ['t-shirt', 'mug', 'hat', 'book', 'keychain'] hat\n",
"enter 3 products from ['t-shirt', 'mug', 'hat', 'book', 'keychain'] book\n",
"enter 3 products from ['t-shirt', 'mug', 'hat', 'book', 'keychain'] mug\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"the customer orders are:,{'mug', 'book', 'hat'}\n",
"{'mug', 'book', 'hat'}\n"
]
}
],
"source": [
"#5\n",
"products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"customer_orders = set() #empty set to be populated\n",
"for i in range(3): \n",
" product_to_order = input(f'enter 3 products from {products}')\n",
" if product_to_order in products:\n",
" customer_orders.add(product_to_order)\n",
" else:\n",
" print(f'invalid')\n",
"print(f\"the customer orders are:,{customer_orders}\")\n",
"print(customer_orders)\n",
" \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'mug', 'book', 'hat'}\n"
]
}
],
"source": [
"#6\n",
"print(customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3\n",
"60.0\n",
"order_status is: (60.0, 3)\n"
]
}
],
"source": [
"#7\n",
"customer_order = {'mug', 'book', 'hat'}\n",
"total_products_order = len(customer_order)\n",
"print(total_products_order)\n",
"percentage_of_products_ordered= len(customer_order) /len(products)*100\n",
"print(percentage_of_products_ordered)\n",
"order_status = (percentage_of_products_ordered, total_products_order)\n",
"print('order_status is:', order_status)\n",
"\n",
"\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3\n",
"60.0\n"
]
}
],
"source": [
"#8\n",
"print(total_products_order)\n",
"print(percentage_of_products_ordered)"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"the updated inventory is: {'t-shirt': 3, 'mug': 4, 'hat': 5, 'book': 6, 'keychain': 2}\n"
]
}
],
"source": [
"#9\n",
"inventory={\"t-shirt\":4, \"mug\":5, \"hat\":6, \"book\":7, \"keychain\":3}\n",
"for product in inventory:\n",
" inventory[product] -=1\n",
"print(f'the updated inventory is:',inventory)\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"t-shirt:3\n",
"mug:4\n",
"hat:5\n",
"book:6\n",
"keychain:2\n"
]
}
],
"source": [
"#10\n",
"for product, qty in inventory.items():\n",
" print(f\"{product}:{qty}\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"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 @@ -68,7 +326,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
Expand Down