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Solved lab unit1 - Data structures #799

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167 changes: 165 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 +50,174 @@
"\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": 42,
"metadata": {},
"outputs": [],
"source": [
"# 1. Define list\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [],
"source": [
"# 2. Empty dictionary\n",
"inventory = {}"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 894, 'mug': 428, 'hat': 22, 'book': 478, 'keychain': 22}\n"
]
}
],
"source": [
"# 3. Input quantity of each product available in the inventory\n",
"for i in products:\n",
" quantity = int(input(f\"Quantity of {i}: \"))\n",
" inventory[i] = quantity # In the inventory dict, at key, store this quantity!!!\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [],
"source": [
"# 4. Create empty set\n",
"customer_orders = set()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'hat', 'mug', 't-shirt'}\n"
]
}
],
"source": [
"# 5. Input name of 3 products that customer wants to order from products list\n",
"for i in range(0, 3):\n",
" product_choice = input(\n",
" f\"What product do you want to order from these products: {products}?\"\n",
" )\n",
" # Add each product name to customer_orders set\n",
" customer_orders.add(product_choice)\n",
"\n",
"\n",
"# 6. Print products in customer_orders set\n",
"print(customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The total number of products in the set: 3\n",
"The total percentage ordered is: 60.0\n",
"(3, 60.0)\n"
]
}
],
"source": [
"# 7. Tot num of products in customer_orders set\n",
"total_products_ordered = len(customer_orders)\n",
"print(f\"The total number of products in the set: {total_products_ordered}\")\n",
"\n",
"# 8. Percentage of products ordred compared to tot available products\n",
"percentage_ordered = (total_products_ordered) / (len(products)) * 100\n",
"print(f\"The total percentage ordered is: {percentage_ordered}\")\n",
"\n",
"# Create tuple to add data together\n",
"order_status = (total_products_ordered, percentage_ordered)\n",
"print(order_status)"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics:\n",
"Total Products Ordered: 3\n",
"Percentage of products Ordered: 60.0%\n"
]
}
],
"source": [
"# 8. Print order statistics\n",
"print(\"Order Statistics:\")\n",
"print(f\"Total Products Ordered: {order_status[0]}\")\n",
"print(f\"Percentage of products Ordered: {order_status[1]}%\")"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [],
"source": [
"# 9. Update inventory subtracting 1 from quantity of each product\n",
"for i in customer_orders:\n",
" inventory[i] -= 1"
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"t-shirt: 890\n",
"mug: 424\n",
"hat: 18\n",
"book: 478\n",
"keychain: 22\n"
]
}
],
"source": [
"# 10. Print updated inventory\n",
"for i in inventory:\n",
" print(f\"{i}: {inventory[i]}\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -68,7 +231,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.14.6"
}
},
"nbformat": 4,
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