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153 changes: 151 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 +50,160 @@
"\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": 15,
"metadata": {},
"outputs": [],
"source": [
"#1.Define a list called `products` that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n",
"products = ['t-shirt', 'mug', 'hat', 'book', 'keychain']\n",
"\n",
"#2. Create an empty dictionary called `inventory`.\n",
"inventory = {}"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"# 3.Ask the user quantity\n",
"inventory['t-shirt'] = int(input(\"Enter quantity t-shirt: \"))\n",
"inventory['mug'] = int(input(\"Enter quantity mug: \"))\n",
"inventory['hat'] = int(input(\"Enter quantity hat: \"))\n",
"inventory['book'] = int(input(\"Enter quantity book: \"))\n",
"inventory['keychain'] = int(input(\"Enter quantity keychain: \"))"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"# 4.Create an empty set called `customer_orders`.\n",
"customer_orders = set()\n",
"\n",
"# 5.5. Ask the user to input the name of three products that a customer wants to order \n",
"# \\(from those in the products list,\n",
"# \\ meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\". \\\n",
"# Add each product name to the `customer_orders` set.\n",
"customer_orders.add(input(\"Enter first product name: \"))\n",
"customer_orders.add(input(\"Enter second product name: \"))\n",
"customer_orders.add(input(\"Enter third product name: \"))"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Customer orders: {'t-shirt', 'book', 'mug'}\n"
]
}
],
"source": [
"# 6. Print the products in the `customer_orders` set.\n",
"print(f\"Customer orders: {customer_orders}\")"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"#7 Calculate the following order statistics:/\n",
"# - Total Products Ordered: The total number of products in the `customer_orders` set. / \n",
"# - Percentage of Products Ordered: The percentage of products ordered compared to the total available products.\n",
"# /Store these statistics in a tuple called `order_status`.\n",
"total_product = len(customer_orders)\n",
"percentage_products_ordered = (total_product / len(products)) * 100\n",
"order_status = (total_product, percentage_products_ordered)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"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. Order Statistics: \\\n",
"# Total Products Ordered: <total_products_ordered> \\\n",
"# Percentage of Products Ordered: <percentage_ordered>% \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": 21,
"metadata": {},
"outputs": [],
"source": [
"# 9. Update the inventory by subtracting 1 from the quantity of each product. /\n",
"# Modify the `inventory` dictionary accordingly.\n",
"for product in customer_orders:\n",
" inventory[product] -= 1"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Update Inventory:\n",
"t-shirt: 4\n",
"mug: 4\n",
"hat: 5\n",
"book: 4\n",
"keychain: 5\n"
]
}
],
"source": [
"#10. Print the updated inventory, displaying the quantity of each product on separate lines.\n",
"print(\"Update Inventory:\")\n",
"print(\"t-shirt: \", inventory['t-shirt'])\n",
"print(\"mug: \", inventory['mug'])\n",
"print(\"hat: \", inventory['hat'])\n",
"print('book: ', inventory['book'])\n",
"print('keychain: ', inventory['keychain'])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
Expand All @@ -68,7 +217,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.10.2"
}
},
"nbformat": 4,
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