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[200~lab-python-flow-control.ipynb~ #690

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161 changes: 159 additions & 2 deletions lab-python-flow-control.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -37,11 +37,168 @@
"\n",
"3. Instead of updating the inventory by subtracting 1 from the quantity of each product, only do it for the products that were ordered (those in \"customer_orders\")."
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "c705e408",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['t-shirt', 'mug', 'hat', 'book', 'keychain']\n"
]
}
],
"source": [
"\n",
"\n",
"# Define a list called `products` that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n",
"\n",
"#**Lists**: Ordered, mutable collections that store elements of different types and allow indexing, appending, removing, and modifying. [ ]\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"print(products)\n",
"\n",
"# Create an empty dictionary called `inventory`.\n",
"\n",
"#**Dictionaries**: Ordered (from Python 3.6), mutable key-value pairs for efficient lookup and organization of data. { }\n",
"\n",
"inventory = {} # create a new dict ----> assign curly brackets or inventory = dict()\n",
"\n",
"#1. Look at your code from the lab data structures, and improve repeated code with loops.\n",
"\n",
"for product in products:# for loop ----> take each product of the list\n",
"\n",
" quantity = int(\n",
" input(\n",
" f\"Enter the quantity of {product}: \"\n",
" )\n",
" )\n",
"\n",
" inventory[product] = quantity\n",
"\n",
"# Create an empty set called `customer_orders`.\n",
"\n",
"#**Sets**: Unordered, mutable collections of unique elements with set operations like union and intersection. { }\n",
"customer_orders = set()# To create an empty set -----> assign brackets ---> empty_set = ()"
]
},
{
"cell_type": "markdown",
"id": "d1d2811c",
"metadata": {},
"source": [
"2. Instead of asking the user to input the name of three products that a customer wants to order, do the following:"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "8a7e7552",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"no\n",
"{'mug', 'book', 'hat'}\n",
"3\n",
"your remaining stock is 37.0 %\n",
"60.0%\n"
]
}
],
"source": [
"\n",
"#Getting User Input\n",
"for _ in range(3): # for loop\n",
" #a. Prompt the user to enter the name of a product that a customer wants to order.\n",
" product_name = input(\"Enter a product name to order (e.g., t-shirt, mug, hat, book, keychain): \")\n",
"\n",
" #b. Add the product name to the \"customer_orders\" set.\n",
" customer_orders.add(product_name)#modifying a set ----> # Adding elements to a set e.g fruit.add('grape')\n",
" \n",
"another_product = \"yes\"\n",
"\n",
" #c. Ask the user if they want to add another product (yes/no).\n",
"while another_product == \"yes\":\n",
" another_product = input(\"Do you want add to another product?(yes/no): \").lower()\n",
"print(another_product)\n",
" #d. Continue the loop until the user does not want to add another product.\n",
"\n",
"# Print the products in the `customer_orders` set.\n",
"print(customer_orders) # Output: {\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"}\n",
"\n",
"# 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",
" \n",
" #Store these statistics in a tuple called `order_status`.\n",
"\n",
"Total_Products_Ordered = len(customer_orders)#lenght----->len(fruits)\n",
"print(len(customer_orders))\n",
"\n",
"Percentage_of_Products_Ordered = (Total_Products_Ordered / len(products)) * 100\n",
"\n",
"#**Tuples**: Ordered, immutable collections commonly used for fixed values. ( )\n",
"\n",
"order_status = (Total_Products_Ordered+Percentage_of_Products_Ordered)# Creating a tuple----> name=()\n",
"\n",
"order_status2 = (100-order_status)\n",
"\n",
"print(f\"your remaining stock is {order_status2} %\")\n",
"\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>%\n",
"\n",
"#total_products_ordered = len(customer_orders)\n",
"\n",
"percentage_ordered = (Total_Products_Ordered / len(products)) * 100\n",
"print(f\"{percentage_ordered}%\")"
]
},
{
"cell_type": "markdown",
"id": "38bd45e9",
"metadata": {},
"source": [
"3. Instead of updating the inventory by subtracting 1 from the quantity of each product, only do it for the products that were ordered (those in \"customer_orders\")."
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "bcb2b4bd",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"t-shirt : 2\n",
"mug : 3\n",
"hat : 4\n",
"book : 5\n",
"keychain : 6\n"
]
}
],
"source": [
"#inventory.items()# Key+values\n",
"\n",
"for key, value in inventory.items(): #for key, value in dic_name.items() ----> e.g for key, value in person.items(): print(key, \":\", value)\n",
" print(key, \":\", value)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -55,7 +212,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.9"
}
},
"nbformat": 4,
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