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138 changes: 136 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 +50,145 @@
"\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": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 10, 'mug': 10, 'hat': 10, 'book': 10, 'keychain': 10}\n"
]
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = {}\n",
"\n",
"for product in products:\n",
" quantity = int(input(f\"Enter quantity of {[product]}: \"))\n",
" inventory[product] = quantity\n",
"\n",
"print(inventory)\n",
"customer_orders = set()\n",
"product_orders = input(\"Enter 3 products you want to order (separated by commas): \")\n",
"for product_name in product_orders.split(\",\"):\n",
" product_name = product_name.strip()\n",
" customer_orders.add(product_name)\n",
"print(customer_orders)\n",
"total_product_ordered = len(customer_orders)\n",
"print(f\"You have ordered {total_product_ordered} products.\")\n",
"percentage_products_ordered = (total_product_ordered / len(products)) * 100\n",
"print(f\"You have ordered {percentage_products_ordered}% of all available products.\")\n",
"order_status = ((\"total_product_ordered\", total_product_ordered),(\"percentage_products_ordered\", percentage_products_ordered))\n",
"print(order_status)\n",
"print(\"Order stastistics\\n\") \n",
"print(order_status)\n",
"print(customer_orders)\n",
"for product in customer_orders:\n",
" inventory[product] -= 1\n",
"\n",
"print(inventory)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -68,7 +202,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
Expand Down