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196 changes: 195 additions & 1 deletion lab-python-data-structures.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -50,6 +50,200 @@
"\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": 1,
"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"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# 2 Create an empty dictionary called inventory.\n",
"inventory={}"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"how many t-shirt do you want to order: 4\n",
"how many mug do you want to order: 8\n",
"how many hat do you want to order: 5\n",
"how many book do you want to order: f\n",
"how many keychain do you want to order: 12\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 4, 'mug': 8, 'hat': 5, 'book': 0, 'keychain': 12}\n"
]
}
],
"source": [
"# Ask the user to input the quantity of each product available in the inventory.\n",
"# Use the product names from the products list as keys in the inventory dictionary and assign the respective quantities as values.\n",
"for product in products:\n",
" order_input = input(f\"how many {product} do you want to order: \")\n",
" if order_input.isdigit():\n",
" Order = int(order_input)\n",
" inventory[product] = Order\n",
" else:\n",
" inventory[product] = 0\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"#\"4. Create an empty set called customer_orders.\"¶\n",
"#Sets: Unordered, mutable collections of unique elements with set operations like union and intersection. { } \n",
"customer_orders = set()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"What is your {product} in the {products} list: mug\n",
"What is your {product} in the {products} list: hat\n",
"What is your {product} in the {products} list: dfghj\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Product not found. Please try again.\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"What is your {product} in the {products} list: book\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Your order is: {'book', 'hat', 'mug'}\n"
]
}
],
"source": [
"# Ask the user to input the name of three products that a customer wants to order (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",
"\n",
"##créer un compteur\n",
"count = 0\n",
"while count <= 2:\n",
" select = input(f\"What is your {{product}} in the {{products}} list: \")\n",
" if select in products:\n",
" customer_orders.add(select)\n",
" count += 1\n",
" else:\n",
" print(\"Product not found. Please try again.\")\n",
" \n",
"# 6 Print the products in the customer_orders set.\n",
"print(\"Your order is: \", customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total product ordered = 3\n",
"Percentage of Products Ordered: 60.0 %\n",
"statistics of these order: (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_product_ordered = len(customer_orders)\n",
"print(\"Total product ordered = \", Total_product_ordered)\n",
" # - Percentage of Products Ordered: The percentage of products ordered compared to the total available products.\n",
"Percentage = 100 * (Total_product_ordered / len(inventory))\n",
"print (\"Percentage of Products Ordered: \", Percentage, \"%\")\n",
" \n",
" # Store these statistics in a tuple called `order_status`.\n",
"order_status = (Total_product_ordered, Percentage)\n",
"print(\"statistics of these order: \", order_status)\n",
"#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>% "
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 3, 'mug': 7, 'hat': 4, 'book': 0, 'keychain': 11}\n"
]
}
],
"source": [
"#Update the inventory by subtracting 1 from the quantity of each product. Modify the inventory dictionary accordingly.\n",
"#Print the updated inventory, displaying the quantity of each product on separate lines.\n",
"#Solve the exercise by implementing the steps using the Python concepts of lists, dictionaries, sets, and basic input/output operations.\n",
"\n",
"for item in inventory: \n",
" if inventory[item] > 0:\n",
" inventory[item] -= 1\n",
" \n",
" else:\n",
" inventory[item] = 0\n",
"\n",
"print (inventory)\n",
" \n",
" \n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -68,7 +262,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
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