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CAMBIOS 2 #655

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carmamenriosrodriguez Jan 12, 2026
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Update lab-python-data-structures.ipynb
carmamenriosrodriguez Jan 12, 2026
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carmamenriosrodriguez Jan 12, 2026
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149 changes: 147 additions & 2 deletions lab-python-data-structures.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,13 @@
"# Lab | Data Structures "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
Expand Down Expand Up @@ -50,11 +57,149 @@
"\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": 48,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 64, 'mug': 5, 'hat': 44, 'book': 553, 'keychain': 22}\n"
]
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = {}\n",
"inventory[\"t-shirt\"] = int(input(\"Write a quantity of t-shirt\"))\n",
"inventory[\"mug\"] = int(input(\"Write a quantity of mug\"))\n",
"inventory[\"hat\"] = int(input(\"Write a quantity of hat\"))\n",
"inventory[\"book\"] = int(input(\"Write a quantity of book\"))\n",
"inventory[\"keychain\"] = int(input(\"Write a quantity of keychain\"))\n",
"print(inventory)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'hat', 'book', 'mug'}\n"
]
}
],
"source": [
"costumer_orders = set()\n",
"costumer_orders.add(input(\"Write a product to order\"))\n",
"costumer_orders.add(input(\"Write a product to order\"))\n",
"costumer_orders.add(input(\"Write a product to order\"))\n",
"print(costumer_orders)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(costumer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [],
"source": [
"total_products_ordered = len(customer_orders)\n",
"percentage_ordered = total_products_ordered / len(products) * 100\n",
"order_status = (total_products_ordered, percentage_ordered)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics:\n",
"Total Products Ordered: 5\n",
"Percentage of Products Ordered: 0.6%\n"
]
}
],
"source": [
"order_status = (total_inventory, percentage_ordered)\n",
"print(\"Order Statistics:\")\n",
"print(f\"Total Products Ordered: {order_status[0]}\")\n",
"print(f\"Percentage of Products Ordered: {order_status[1]}%\")\n"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [],
"source": [
"inventory[\"t-shirt\"] = inventory[\"t-shirt\"] - 1\n",
"inventory[\"mug\"] = inventory[\"mug\"] - 1\n",
"inventory[\"hat\"] = inventory[\"hat\"] - 1\n",
"inventory[\"book\"] = inventory[\"book\"] - 1\n",
"inventory[\"keychain\"] = inventory[\"keychain\"] - 1\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"t-shirts: 42\n",
"mugs: 0\n",
"hats: -1\n",
"books: 41\n",
"keychains: 0\n"
]
}
],
"source": [
"print(\"t-shirts:\", inventory[\"t-shirts\"])\n",
"print(\"mugs:\", inventory[\"mugs\"])\n",
"print(\"hats:\", inventory[\"hats\"])\n",
"print(\"books:\", inventory[\"books\"])\n",
"print(\"keychains:\", inventory[\"keychains\"])"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "ds",
"language": "python",
"name": "python3"
},
Expand All @@ -68,7 +213,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.12.12"
}
},
"nbformat": 4,
Expand Down