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completed lab #549

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a0d439f
completed lab
feitenjj Sep 1, 2025
ae74c8c
Lab solved
feitenjj Sep 2, 2025
c94309e
Merge branch 'main' of https://github.com/feitenjj/lab-python-data-st…
feitenjj Sep 2, 2025
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Deleted unneded folder Ironhack
feitenjj Sep 2, 2025
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223 changes: 220 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 +50,230 @@
"\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": 3,
"metadata": {},
"outputs": [],
"source": [
"# Define a list called products that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"#2. Create an empty dictionary called `inventory`.\n",
"inventory = {}"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Number of t-shirt: 4\n",
"Number of mug: 5\n",
"Number of hat: 6\n",
"Number of book: 8\n",
"Number of keychain: 9\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 4, 'mug': 5, 'hat': 6, 'book': 8, 'keychain': 9}\n"
]
}
],
"source": [
"# 3. Ask the user to input the quantity of each product available in the inventory. Use the product names from the `products` list as keys in the `inventory` dictionary and assign the respective quantities as values.\n",
"for item in products:\n",
" inventory[item] = int(input(\"Number of \" + item + \": \"))\n",
"print(inventory)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"# 4. Create an empty set called `customer_orders`.\n",
"customer_orders = set ()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Choose a product: hat\n",
"Choose a product: book\n",
"Choose a product: tshirt\n"
]
}
],
"source": [
"# Ask the user to input the name of three products that a customer wants to order (from those in the products list, meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\". Add each product name to the `customer_orders` set.\n",
"for i in range(3):\n",
" product = input(\"Choose a product: \")\n",
" customer_orders.add(product)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Customer orders: {'tshirt', 'book', 'hat'}\n"
]
}
],
"source": [
"# 6. Print the products in the `customer_orders` set.\n",
"print(\"Customer orders:\", customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order status: (3, 60.0)\n"
]
}
],
"source": [
"# 7. Calculate the following order statistics:\n",
" # - Total Products Ordered: The total number of products in the `customer_orders` set.\n",
"total = len(customer_orders)\n",
"\n",
" #- Percentage of Products Ordered: The percentage of products ordered compared to the total available products.\n",
"percentage = (total / len(products)) * 100\n",
"\n",
" #Store these statistics in a tuple called `order_status`.\n",
"order_status = (total, percentage)\n",
"\n",
"print(\"Order status:\", order_status)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"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. 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:\", order_status[0])\n",
"print(\"Percentage of Products Ordered:\", order_status[1], \"%\")"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 4, 'mug': 5, 'hat': 5, 'book': 7, 'keychain': 9}\n"
]
}
],
"source": [
"# 9. Update the inventory by subtracting 1 from the quantity of each product. Modify the `inventory` dictionary accordingly.\n",
"for item in inventory:\n",
" if item in customer_orders:\n",
" inventory[item] -= 1\n",
"print (inventory) "
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Updated Inventory:\n",
"t-shirt: 4\n",
"mug: 5\n",
"hat: 5\n",
"book: 7\n",
"keychain: 9\n"
]
}
],
"source": [
"# 10. Print the updated inventory, displaying the quantity of each product on separate lines.\n",
"print(\"Updated Inventory:\")\n",
"for item, quantity in inventory.items():\n",
" print(f\"{item}: {quantity}\")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# mudança qualquer"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"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 +285,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
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