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256 changes: 253 additions & 3 deletions lab-python-data-structures.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -50,13 +50,263 @@
"\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": 29,
"metadata": {},
"outputs": [],
"source": [
"#Define a list called products that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n",
"\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"#Create an empty dictionary called inventory\n",
"\n",
"inventory = {}"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"What is the quantity of t-shirts?: 5\n",
"What is the quantity of mugs?: 5\n",
"What is the quantity of hats?: 5\n",
"What is the quantity of books?: 5\n",
"What is the quantity of keychains?: 5\n"
]
}
],
"source": [
"# Ask the user to input the quantity of each product available in the inventory. Use the product names from the products list as keys\n",
"# in the inventory dictionary and assign the respective quantities as values.\n",
"\n",
"for product in products:\n",
" quantity = int(input(f\"What is the quantity of {product}s?: \"))\n",
" inventory[product] = quantity"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
"# Create empty set\n",
"\n",
"customer_orders = set()"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter a product: hat\n",
"Enter a product: muh\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Product not in list.\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter a product: mug\n",
"Enter a product: keychain\n"
]
}
],
"source": [
"# Ask the user to input the name of three products that a customer wants to order (from those in products list).\n",
"# Add each product name to the customer_orders set.\n",
"\n",
"counter = 3\n",
"\n",
"while counter > 0:\n",
" \n",
" three_products = input(\"Enter a product: \")\n",
"\n",
" if three_products in products:\n",
" customer_orders.add(three_products)\n",
" counter -=1\n",
" else:\n",
" print(\"Product not in list.\")"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'hat', 'keychain', 'mug'}\n"
]
}
],
"source": [
"# Print the products in the customer_orders set.\n",
"\n",
"print(customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"15\n"
]
}
],
"source": [
"# Calculate the following order statistics:\n",
"# Total Products Ordered: The total number of products in the customer_orders set.\n",
"\n",
"total_products_ordered = sum(inventory[product] for product in customer_orders)\n",
"print(total_products_ordered)"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [],
"source": [
"# Percentage of products ordered: The percentage of products ordered compared to the total available products.\n",
"\n",
"total_available_products = sum(inventory.values())\n",
"percentage_products = (total_products_ordered / total_available_products) * 100"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(15, 60.0)\n"
]
}
],
"source": [
"# Store these statistics in a tuple called order_status.\n",
"\n",
"order_status = (total_products_ordered, percentage_products)\n",
"\n",
"print(order_status)"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order statistics:\n",
"Total products ordered: 15\n",
"Percentage of products ordered: 60.0\n"
]
}
],
"source": [
"# Print the order statistics using the following format:\n",
"# Order statistics:\n",
"# Total products ordered: <total_products_ordered>\n",
"# Percentage of products ordered: <percentage_ordered>\n",
"\n",
"print(\"Order statistics:\")\n",
"print(\"Total products ordered: \", total_products_ordered)\n",
"print(\"Percentage of products ordered: \", percentage_products)"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 4, 'mug': 4, 'hat': 4, 'book': 4, 'keychain': 4}\n"
]
}
],
"source": [
"# Update the inventory by subtracting 1 from the quantity of each product. Modify the inventory dictionary accordingly.\n",
"\n",
"for product in inventory:\n",
" inventory[product] -= 1\n",
" \n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"t-shirt : 4\n",
"mug : 4\n",
"hat : 4\n",
"book : 4\n",
"keychain : 4\n"
]
}
],
"source": [
"# Print the updated inventory , displaying the quantity of each product on separate lines.\n",
"\n",
"for product, quantity in inventory.items():\n",
" print(product,\":\", quantity)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python [conda env:base] *",
"language": "python",
"name": "python3"
"name": "conda-base-py"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -68,7 +318,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
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