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fixed pull request #533

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bbfd300
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medilin-njoki Jul 27, 2025
4a67fb1
fixed lab
medilin-njoki Jul 27, 2025
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107 changes: 105 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 +9,11 @@
"# Lab | Data Structures "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
Expand Down Expand Up @@ -50,11 +55,109 @@
"\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": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 10}\n",
"{'t-shirt': 10, 'mug': 20}\n",
"{'t-shirt': 10, 'mug': 20, 'hat': 30}\n",
"{'t-shirt': 10, 'mug': 20, 'hat': 30, 'book': 40}\n",
"{'t-shirt': 10, 'mug': 20, 'hat': 30, 'book': 40, 'keychain': 50}\n",
"products in customer orders: {'hat', 'mug', 'book'}\n",
"order statistics:\n",
"total products ordered: 3\n",
"percentage of unique products ordered : 60.0%\n"
]
}
],
"source": [
"#1.\n",
"\n",
"products = [\"t-shirt\",\"mug\",\"hat\",\"book\",\"keychain\"]\n",
"\n",
"#2.\n",
"\n",
"inventory = {}\n",
"\n",
"#3.\n",
"for product in products:\n",
" quantity = int(input(f\"how many {product} available?\"))\n",
" inventory[product] = quantity\n",
" print(inventory)\n",
"\n",
"customer_orders = set()\n",
"\n",
"product_name = input(\"Enter the name of a product that a customer wants:\")\n",
"customer_orders.add(product_name)\n",
"\n",
"product_name = input(\"Enter the name of a product that a customer wants:\")\n",
"customer_orders.add(product_name)\n",
"\n",
"product_name = input(\"Enter the name of a product that a customer wants:\")\n",
"customer_orders.add(product_name)\n",
"\n",
"#6\n",
"print(f\"products in customer orders: {customer_orders}\")\n",
"\n",
"#7\n",
"total_products_ordered = len(customer_orders)\n",
"percentage_ordered = (total_products_ordered/len(products))* 100\n",
"order_stats= (total_products_ordered, percentage_ordered)\n",
"\n",
"#8.\n",
"\n",
"print(\"order statistics:\")\n",
"print(\"total products ordered: \", order_stats[0])\n",
"print(f\"percentage of unique products ordered : {order_stats[1]}%\")"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"#9\n",
"\n",
"for product in products:\n",
" inventory[product] -= 1"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"t-shirt: 6\n",
"mug: 16\n",
"hat: 26\n",
"book: 36\n",
"keychain: 46\n"
]
}
],
"source": [
"#10\n",
"\n",
"for product, quantity in inventory.items():\n",
" print(f\"{product}: {quantity}\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -68,7 +171,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
Expand Down