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Done with the lab Comprehension #513

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70 changes: 68 additions & 2 deletions lab-python-list-comprehension.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -75,11 +75,77 @@
"\n",
"```\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3cf16bcc",
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"\n",
"#{key: value for item in iterable} \n",
"#You are constructing the entire dictionary in one expression, not performing assignments.\n",
"#So instead of “assign this value to this key,” you’re defining pairs of key and value.\n",
"def initialize_inventory (products):\n",
" inventory = {product: int(input(f\"Insert Quantity of {product}s\")) for product in products}\n",
" \n",
" return inventory\n",
"\n",
"inventory = initialize_inventory(products)\n",
"\n",
"#{value for item in iterable}\n",
"def get_customer_orders():\n",
" num_orders = int(input(f\"How many unique products from the products list do you want?\"))\n",
"\n",
" customer_orders = {input(f\"Select a product from the products list: \").lower() for amount in range(num_orders)}\n",
" \n",
" return customer_orders\n",
"\n",
"customer_orders = get_customer_orders()\n",
"\n",
"def update_inventory(customer_orders, inventory):\n",
" inventory = {item: inventory[item] - 1 for item in customer_orders if inventory[item] > 1}\n",
"\n",
" return inventory\n",
" \n",
"inventory = update_inventory(customer_orders, inventory)\n",
"\n",
"def calculate_total_price_customer_orders(inventory):\n",
" total_price_customer_orders = {item: float(input(f\"Insert the price of the {item}: \")) for item in inventory}\n",
" total_price_customer_orders = sum(total_price_customer_orders.values())\n",
" print(f\"The total price is: {total_price_customer_orders}\")\n",
" return total_price_customer_orders\n",
"\n",
"total_price = calculate_total_price_customer_orders(inventory)\n",
"\n",
"def calculate_order_statistics(inventory, products):\n",
" total_products_ordered = len(inventory)\n",
" total_available_products = len(products)\n",
" percentage_ordered = (total_products_ordered / total_available_products) * 100\n",
"\n",
" return total_products_ordered, percentage_ordered\n",
"\n",
"order_statistics = calculate_order_statistics(inventory, products)\n",
"\n",
"def print_order_statistics(order_statistics):\n",
" total_products_ordered, percentage_ordered = order_statistics\n",
" print(\"Total unique products ordered:\", total_products_ordered)\n",
" print(\"Percentage of products ordered:\", percentage_ordered, \"%\")\n",
"\n",
"print_order_statistics(order_statistics)\n",
"\n",
"def print_updated_inventory(inventory):\n",
" {print(f\"{product}s: {quantity}\") for product, quantity in inventory.items()}\n",
"\n",
"print_updated_inventory(inventory)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -93,7 +159,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
Expand Down