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Solution for Lab Day 2 #518

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Solution for Lab Day 2 #518

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f7d965a
Data Structure Solution
cfcuadrac Jul 8, 2025
ecf20be
First Lab Solutions Day 2
cfcuadrac Jul 8, 2025
b3626a7
lab day 2 solutions
cfcuadrac Jul 8, 2025
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293 changes: 290 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 +50,300 @@
"\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": 27,
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"5"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(products)"
]
},
{
"cell_type": "code",
"execution_count": 124,
"metadata": {},
"outputs": [],
"source": [
"inventory = {}"
]
},
{
"cell_type": "code",
"execution_count": 125,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the amount of product available: 5\n",
"Enter the amount of product available: 10\n",
"Enter the amount of product available: 15\n",
"Enter the amount of product available: 20\n",
"Enter the amount of product available: 25\n"
]
}
],
"source": [
"inventory[\"tshirt\"] = int(input(\"Enter the amount of product available:\"))\n",
"inventory[\"mug\"] = int(input(\"Enter the amount of product available:\"))\n",
"inventory[\"hat\"] = int(input(\"Enter the amount of product available:\"))\n",
"inventory[\"book\"] = int(input(\"Enter the amount of product available:\"))\n",
"inventory[\"keychain\"] = int(input(\"Enter the amount of product available:\"))"
]
},
{
"cell_type": "code",
"execution_count": 126,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'tshirt': 5, 'mug': 10, 'hat': 15, 'book': 20, 'keychain': 25}"
]
},
"execution_count": 126,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"inventory"
]
},
{
"cell_type": "code",
"execution_count": 102,
"metadata": {},
"outputs": [],
"source": [
"customer_order = set()"
]
},
{
"cell_type": "code",
"execution_count": 103,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"set"
]
},
"execution_count": 103,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(customer_order)"
]
},
{
"cell_type": "code",
"execution_count": 122,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3"
]
},
"execution_count": 122,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"total_products_ordered"
]
},
{
"cell_type": "code",
"execution_count": 106,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the name of the first product you want mug\n",
"Enter the name of the second product you want hat\n",
"Enter the name of the third product you want tshirt\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'mug', 'hat', 'tshirt'}\n"
]
}
],
"source": [
"product1 = input(\"Enter the name of the first product you want\")\n",
"product2 = input(\"Enter the name of the second product you want\")\n",
"product3 = input(\"Enter the name of the third product you want\")\n",
"\n",
"customer_order.add(product1)\n",
"customer_order.add(product2)\n",
"customer_order.add(product3)\n",
"\n",
"print(customer_order)"
]
},
{
"cell_type": "code",
"execution_count": 108,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3\n"
]
}
],
"source": [
"total_products_ordered = len(customer_order)\n",
"print(len(customer_order))"
]
},
{
"cell_type": "code",
"execution_count": 109,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total Available Products: 75\n",
"Total Products Ordered: 3\n",
"Percentage of Products Ordered: 0.04\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)\n",
"print(\"Percentage of Products Ordered:\", percentage_ordered)"
]
},
{
"cell_type": "code",
"execution_count": 111,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total Products Ordered:: 3\n",
"Total Available Products: 75\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": 121,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"New Updated Inventory for Hat: 12\n",
"New Updated Inventory for Tshirt: 2\n",
"New Updated Inventory for Mug: 7\n"
]
}
],
"source": [
"inventory[\"hat\"] = inventory[\"hat\"] - 1\n",
"print(\"New Updated Inventory for Hat: \", inventory[\"hat\"])\n",
"inventory[\"tshirt\"] = inventory[\"tshirt\"] - 1\n",
"print(\"New Updated Inventory for Tshirt: \", inventory[\"tshirt\"])\n",
"inventory[\"mug\"] = inventory[\"mug\"] - 1\n",
"print(\"New Updated Inventory for Mug: \", inventory[\"mug\"])"
]
},
{
"cell_type": "code",
"execution_count": 119,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total Updated Inventory: \n",
"T-shirt Inventory: 25\n",
"Mug Inventory: 9\n",
"Hat Inventory: 14\n",
"Book Inventory: 20\n",
"Keychain Inventory: 25\n"
]
}
],
"source": [
"print(\"Total Updated Inventory: \")\n",
"print(\"T-shirt Inventory:\", inventory[\"keychain\"])\n",
"print(\"Mug Inventory:\", inventory[\"mug\"])\n",
"print(\"Hat Inventory:\", inventory[\"hat\"])\n",
"print(\"Book Inventory:\", inventory[\"book\"])\n",
"print(\"Keychain Inventory:\", inventory[\"keychain\"])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"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 @@ -68,7 +355,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.11.5"
}
},
"nbformat": 4,
Expand Down