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Update lab-python-data-structures.ipynb #571

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Update lab-python-data-structures.ipynb
Moretur Oct 6, 2025
eab023a
Update lab-python-data-structures.ipynb
Moretur Oct 10, 2025
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181 changes: 179 additions & 2 deletions lab-python-data-structures.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -50,11 +50,188 @@
"\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": [],
"source": [
"# PUNTO 1\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"# PUNTO 2\n",
"inventory = {}"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 2, 'mug': 2, 'hat': 2, 'book': 2, 'keychain': 2}\n"
]
}
],
"source": [
"# PUNTO 3\n",
"numero_camisetas = int(input(\"Introduzca el número de camisetas:\"))\n",
"inventory [\"t-shirt\"] = numero_camisetas\n",
"numero_tazas = int(input(\"Introduzca el número de tazas:\"))\n",
"inventory [\"mug\"] = numero_tazas\n",
"numero_sombreros = int(input(\"Introduzca el número de sombreros:\"))\n",
"inventory [\"hat\"] = numero_sombreros\n",
"numero_libros = int(input(\"Introduzca el número de libros:\"))\n",
"inventory [\"book\"] = numero_libros\n",
"numero_llaveros = int(input(\"Introduzca el número de llaveros:\"))\n",
"inventory [\"keychain\"] = numero_llaveros\n",
"print (inventory)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"#PUNTO 4\n",
"customer_orders = set()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Artículos elegidos: {'mug', 'hat', 'keychain'}\n"
]
}
],
"source": [
"#PUNTO 5\n",
"item1 = input(\"Por favor, escoja tres: t-shirt, mug, hat, book o keychain: \")\n",
"item2 = input(\"Segunda elección: \")\n",
"item3 = input(\"Tercera elección: \")\n",
"customer_orders.add(item1)\n",
"customer_orders.add(item2)\n",
"customer_orders.add(item3)\n",
"print(\"Artículos elegidos:\", customer_orders)\n"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"#PUNTO 6\n",
"total_products_ordered=len(customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"60.0\n",
"(3, 60.0)\n"
]
}
],
"source": [
"#PUNTO 7\n",
"customer_percentage = len(customer_orders)/len(products) * 100\n",
"print (customer_percentage)\n",
"order_status= (len(customer_orders), customer_percentage )\n",
"print (order_status)\n"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics:\n",
"Total Products Ordered: 3\n",
"Percentage of Products Ordered: 60.0%\n"
]
}
],
"source": [
"#PUNTO 8\n",
"print(\"Order Statistics:\")\n",
"print(f\"Total Products Ordered: {total_products_ordered}\")\n",
"print(f\"Percentage of Products Ordered: {customer_percentage}%\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 1, 'mug': 1, 'hat': 1, 'book': 1, 'keychain': 1}\n"
]
}
],
"source": [
"#punto 9\n",
"inventory [\"t-shirt\"] += -1\n",
"inventory [\"mug\"] += -1\n",
"inventory [\"hat\"] += -1\n",
"inventory [\"book\"] += -1\n",
"inventory [\"keychain\"] += -1\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"t-shirt: 1\n",
"mug: 1\n",
"hat: 1\n",
"book: 1\n",
"keychain: 1\n"
]
}
],
"source": [
"#PUNTO 10\n",
"print(f\"t-shirt: {inventory[\"t-shirt\"]}\")\n",
"print(f\"mug: {inventory[\"mug\"]}\")\n",
"print(f\"hat: {inventory[\"hat\"]}\")\n",
"print(f\"book: {inventory[\"book\"]}\")\n",
"print(f\"keychain: {inventory[\"keychain\"]}\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -68,7 +245,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
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