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solved the Lab-Pariya Lakani #725

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221 changes: 219 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 +37,228 @@
"\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": "markdown",
"id": "197dd9c7",
"metadata": {},
"source": [
"improve repeated code with loops"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "b7209dae",
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = {}"
]
},
{
"cell_type": "markdown",
"id": "fbd2d355",
"metadata": {},
"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 in the `inventory` dictionary and assign the respective quantities as values."
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "9f4a8ccc",
"metadata": {},
"outputs": [],
"source": [
"for product in products:\n",
" inventory[product]=int(input(f\"Enter qualntity for {product}:\"))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "687fe74f",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'t-shirt': 5, 'mug': 6, 'hat': 8, 'book': 7, 'keychain': 5}"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"inventory"
]
},
{
"cell_type": "markdown",
"id": "d2569e00",
"metadata": {},
"source": [
"Prompt the user to enter the name of a product that a customer wants to order."
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "b117d692",
"metadata": {},
"outputs": [],
"source": [
"customer_orders=set()\n",
"for orders in range(3):\n",
" customer_orders.add(input(\"please inter a product name:\"))"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "89812a0e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'book', 'hat', 'mug'}"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"customer_orders"
]
},
{
"cell_type": "markdown",
"id": "7d857416",
"metadata": {},
"source": [
"Update the inventory by subtracting 1 from the quantity of each product. Modify the `inventory` dictionary accordingly.\n",
"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": 7,
"id": "4e5f61b4",
"metadata": {},
"outputs": [],
"source": [
"for item in customer_orders:\n",
" inventory[item]=inventory[item]-1"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "221a746d",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'t-shirt': 5, 'mug': 5, 'hat': 7, 'book': 6, 'keychain': 5}"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"inventory"
]
},
{
"cell_type": "markdown",
"id": "75d3e89f",
"metadata": {},
"source": [
"Print the updated inventory, displaying the quantity of each product on separate lines."
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "b80e2891",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" t-shirt : 5\n",
" mug : 5\n",
" hat : 7\n",
" book : 6\n",
" keychain : 5\n"
]
}
],
"source": [
"for product in inventory:\n",
" print(f\" {product} : {inventory[product]}\")"
]
},
{
"cell_type": "markdown",
"id": "29020f38",
"metadata": {},
"source": [
"Ask the user if they want to add another product (yes/no).\n",
"Continue the loop until the user does not want to add another product."
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "6a97cbec",
"metadata": {},
"outputs": [],
"source": [
"\n",
"answer= \"yes\" \n",
"while answer == \"yes\":\n",
" product_name=input(\"please enter a product name:\")\n",
" customer_orders.add(product_name)\n",
" answer = input(\"do you want to add another product? (yes/no): \")"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "c3967f65",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'book', 'hat', 'mug', 't-shirt'}"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"customer_orders"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "base",
"language": "python",
"name": "python3"
},
Expand All @@ -55,7 +272,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.9"
}
},
"nbformat": 4,
Expand Down