Skip to content
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

Lab done #362

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Lab done #362

Changes from all commits
Commits
Show all changes
1 commit
Select commit
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
196 changes: 194 additions & 2 deletions lab-python-data-structures.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -10,8 +10,200 @@
]
},
{
"cell_type": "markdown",
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter quantity t-shirt: 10\n",
"Enter quality mug: 10\n",
"Enter quality hat: 10\n",
"Enter quality book: 10\n",
"Enter quality keychain: 10\n"
]
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = {}\n",
"quantity_tshirt = int(input(\"Enter quantity t-shirt: \"))\n",
"quantity_mug = int(input(\"Enter quality mug: \"))\n",
"quantity_hat = int(input(\"Enter quality hat: \"))\n",
"quantity_book = int(input(\"Enter quality book: \"))\n",
"quantity_keychain = int(input(\"Enter quality keychain: \"))\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 10, 'mug': 10, 'hat': 10, 'book': 10, 'keychain': 10}\n"
]
}
],
"source": [
"inventory = {\n",
" \"t-shirt\": quantity_tshirt,\n",
" \"mug\": quantity_mug,\n",
" \"hat\": quantity_hat,\n",
" \"book\": quantity_book,\n",
" \"keychain\": quantity_keychain\n",
"}\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter product 1 from ['t-shirt', 'mug', 'hat', 'book', 'keychain']: hat\n",
"Enter product 2 from ['t-shirt', 'mug', 'hat', 'book', 'keychain']: book\n",
"Enter product 3 from ['t-shirt', 'mug', 'hat', 'book', 'keychain']: mug\n"
]
}
],
"source": [
"customer_orders = set()\n",
"\n",
"for p in range(3):\n",
" product = input(f\"Enter product {p+1} from {products}: \")\n",
" customer_orders.add(product)\n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'hat', 'mug', 'book'}\n"
]
}
],
"source": [
"print(customer_orders) "
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3\n"
]
}
],
"source": [
"number_of_orders = len(customer_orders)\n",
"print(number_of_orders)"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"60.0\n"
]
}
],
"source": [
"percentage_of_products_ordered = (number_of_orders / len(products)) * 100\n",
"print(percentage_of_products_ordered)"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total Products Ordered: 3\n",
"Percentage of Products Ordered: 60.0 %\n"
]
}
],
"source": [
"order_status = (number_of_orders, percentage_of_products_ordered)\n",
"print (\"Total Products Ordered:\", number_of_orders)\n",
"print(\"Percentage of Products Ordered:\", percentage_of_products_ordered, \"%\")"
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 10, 'mug': 10, 'hat': 10, 'book': 10, 'keychain': 10}\n"
]
}
],
"source": [
"inventory = {\n",
" \"t-shirt\": quantity_tshirt,\n",
" \"mug\": quantity_mug,\n",
" \"hat\": quantity_hat,\n",
" \"book\": quantity_book,\n",
" \"keychain\": quantity_keychain\n",
"}\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Invetory after {'t-shirt': -1, 'mug': -1, 'hat': -1, 'book': -1, 'keychain': -1}\n"
]
}
],
"source": [
"for product in inventory:\n",
" inventory[product]= -1\n",
"print(\"Invetory after\", inventory)"
]
},
{
"cell_type": "markdown",
"metadata": {
"jp-MarkdownHeadingCollapsed": true
},
"source": [
"## Exercise: Managing Customer Orders\n",
"\n",
Expand Down Expand Up @@ -68,7 +260,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.12.7"
}
},
"nbformat": 4,
Expand Down