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Added Solutions to Lab functions #607

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203 changes: 200 additions & 3 deletions lab-python-functions.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -43,13 +43,210 @@
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "bc83c382-69fd-4127-90ae-acac2340992c",
"metadata": {},
"outputs": [],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "7e2a1b8e-7104-4039-ab93-1c3e2c50db6b",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter quantity available for: t-shirt 3\n",
"Enter quantity available for: mug 4\n",
"Enter quantity available for: hat 5\n",
"Enter quantity available for: book 6\n",
"Enter quantity available for: keychain 7\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 3, 'mug': 4, 'hat': 5, 'book': 6, 'keychain': 7}\n"
]
}
],
"source": [
"def initialize_inventory(products):\n",
" inventory = {}\n",
"\n",
" for product in products:\n",
" quantity = int(input(f\"Enter quantity available for: {product}\"))\n",
" inventory[product] = quantity \n",
"\n",
" return inventory"
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "bd673586-0367-4aa9-b958-6b8d93067487",
"metadata": {},
"outputs": [],
"source": [
"def get_customer_orders():\n",
" customer_orders = set()\n",
"\n",
" while True:\n",
" order = input(\"Enter a product: \")\n",
" customer_orders.add(order)\n",
"\n",
" another = input(\"Do you want to add another product? (yes/no): \")\n",
" if another != \"yes\":\n",
" break\n",
"\n",
" return customer_orders"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "0a583cd6-c774-4c80-ac40-6009cf812385",
"metadata": {},
"outputs": [],
"source": [
"def update_inventory(customer_orders, inventory):\n",
" for product in customer_orders:\n",
" inventory[product] = inventory[product] - 1\n",
" \n",
" \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "ea37dc2d-896c-4bb3-8884-8b32346f13f3",
"metadata": {},
"outputs": [],
"source": [
"def calculate_order_statistics(customer_orders, products): \n",
" total_orders = len(customer_orders)\n",
" percentage_of_orders = len(customer_orders)/len(products)\n",
"\n",
" return total_orders, percentage_of_orders"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "ad73879f-5acc-4d11-903f-fe4c96b272aa",
"metadata": {},
"outputs": [],
"source": [
"def print_order_statistics(order_statistics): \n",
" print(\"Order statistics:\")\n",
" print(f\"Total products ordered: {total_orders}\")\n",
" print(f\"Percentage of unique products: {percentage_of_orders}\")\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "25a8197b-e9de-4f09-ad51-457946f6b1cc",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter quantity available for: t-shirt 4\n",
"Enter quantity available for: mug 4\n",
"Enter quantity available for: hat 4\n",
"Enter quantity available for: book 4\n",
"Enter quantity available for: keychain 4\n"
]
},
{
"data": {
"text/plain": [
"{'t-shirt': 4, 'mug': 4, 'hat': 4, 'book': 4, 'keychain': 4}"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"initialize_inventory(products)"
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "001ed7df-b37c-4c47-b8d2-5d02d74ab101",
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter a product: mug\n",
"Do you want to add another product? (yes/no): yes\n",
"Enter a product: hat\n",
"Do you want to add another product? (yes/no): no\n"
]
},
{
"data": {
"text/plain": [
"{'hat', 'mug'}"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_customer_orders()"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "590f6518-504b-4a4f-81b0-9a934261ce36",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"None\n"
]
}
],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "6acd0200-b879-443e-9f93-59322d62340e",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python [conda env:base] *",
"language": "python",
"name": "python3"
"name": "conda-base-py"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -61,7 +258,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.9"
}
},
"nbformat": 4,
Expand Down