Skip to content

list_dict_set_comprehension_soln #512

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 2 commits into
base: main
Choose a base branch
from
Open

list_dict_set_comprehension_soln #512

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
3efe7e1
list_dict_set_comprehension_soln
Oct 11, 2025
800abf9
list_dict_part_2
Oct 12, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
243 changes: 241 additions & 2 deletions lab-python-list-comprehension.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@
},
{
"cell_type": "markdown",
"id": "5d500160-2fb7-4777-b5e4-09d45ebaf328",
"id": "f4735399-1e52-4684-9263-6a6e372ddb30",
"metadata": {},
"source": [
"In the previous exercise, you developed a program to manage customer orders and inventory. Now, let's take it a step further and incorporate comprehension into your code.\n",
Expand Down Expand Up @@ -75,6 +75,245 @@
"\n",
"```\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "32a09ad5-391d-4e5f-8faf-90917cd20db4",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 97,
"id": "3abb2f5c-b8d4-421e-8267-4ddf91e97086",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter quantity of bags available: 20\n",
"Enter quantity of shoes available: 30\n"
]
}
],
"source": [
"def initialize_inventory(products):\n",
" inventory = {i: int(input(f\"Enter quantity of {i}s available: \")) for i in products}\n",
" return inventory\n",
"inventory=initialize_inventory(products)"
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "0b338688-f62f-429b-b5d4-56f996367f63",
"metadata": {},
"outputs": [],
"source": [
"products=[\"bag\",\"shoe\"]"
]
},
{
"cell_type": "code",
"execution_count": 187,
"id": "ecc3f083-05a3-46aa-984a-2180d4ef1af8",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter no of customer orders: 1\n",
"Enter the name of a product that a customer wants to order: mug\n"
]
}
],
"source": [
" def get_customer_orders():\n",
" customer_orders = list()\n",
" number_of_orders=int(input(\"Enter no of customer orders: \"))\n",
" for i in range(number_of_orders):\n",
" name = input(\"Enter the name of a product that a customer wants to order: \")\n",
" customer_orders.append(name)\n",
" order={i for i in customer_orders if i in products}\n",
" return order\n",
" \n",
"customer_order= list(get_customer_orders())\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 181,
"id": "184d8e83-fc03-48fd-a528-0d0671dc1f0a",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the product name or 'complete' to finish: shoe\n",
"do you want to enter another product (yes/no): yes\n",
"Enter the product name or 'complete' to finish: bag\n",
"do you want to enter another product (yes/no): no\n"
]
},
{
"data": {
"text/plain": [
"{'bag', 'shoe'}"
]
},
"execution_count": 181,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_customer_orders()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6d616f01-f0d2-4b06-aa37-3aa515aafb95",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 178,
"id": "fcd551a7-78f4-4419-a25a-37e0b78fc561",
"metadata": {},
"outputs": [],
"source": [
"def total_price():\n",
" order_dict={i:int(input(f\"Price of {i}: \")) for i in customer_order}\n",
" order_dict.items()\n",
" b=sum(order_dict.values())\n",
" print(f\"The total product price is {b}\")"
]
},
{
"cell_type": "code",
"execution_count": 179,
"id": "a0ed8738-8b6e-42bd-9557-0e369346cc29",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Price of shoe: 20\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"The total product price is 20\n"
]
}
],
"source": [
"total_price()"
]
},
{
"cell_type": "code",
"execution_count": 80,
"id": "35fa7852-c65c-47f9-9fe0-0dbb60ab1b76",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"function"
]
},
"execution_count": 80,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(total_price)\n"
]
},
{
"cell_type": "code",
"execution_count": 175,
"id": "abe71b65-ad08-450a-bffe-b2f62ab716be",
"metadata": {},
"outputs": [],
"source": [
"def update_inventory(customer_order, inventory):\n",
" for i in customer_order:\n",
" if i in inventory:\n",
" inventory[i]-=1 \n",
" inventory_final={j:k for j,k in inventory.items() if inventory[j]>0}\n",
" return inventory_final\n",
"customer_order=update_inventory(customer_order, inventory)\n",
"\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 169,
"id": "8ad47809-0c78-4352-a6f8-1193a5f1a70f",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'shoe': 3}"
]
},
"execution_count": 169,
"metadata": {},
"output_type": "execute_result"
}
],
"source": []
},
{
"cell_type": "code",
"execution_count": 177,
"id": "508895fb-4e1b-4fcd-b6d3-145593687082",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Price of shoe: 2\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"The total product price is 2\n"
]
}
],
"source": [
"total_price()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "994641c0-4be7-4400-b8ea-7f2897653d9d",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -93,7 +332,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.12.7"
}
},
"nbformat": 4,
Expand Down