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lab-python-data-structures #506

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e0b7248
Solved Lab
Jessica-Bu Jun 18, 2025
84537a8
Solved Lab
Jessica-Bu Jun 18, 2025
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78 changes: 75 additions & 3 deletions lab-python-data-structures.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -50,13 +50,85 @@
"\n",
"Solve the exercise by implementing the steps using the Python concepts of lists, dictionaries, sets, and basic input/output operations. "
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Please enter stock for article t-shirt 1\n",
"Please enter stock for article mug 2\n",
"Please enter stock for article hat 3\n",
"Please enter stock for article book 4\n",
"Please enter stock for article keychain 5\n",
"Please enter 0 for t-shirt, 1 for mug, 2 for hat, 3 for book or 4 for keychain 1\n",
"Please enter 0 for t-shirt, 1 for mug, 2 for hat, 3 for book or 4 for keychain 2\n",
"Please enter 0 for t-shirt, 1 for mug, 2 for hat, 3 for book or 4 for keychain 3\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'mug', 'hat', 'book'}\n",
"Order Statistics:\n",
"Total Products Ordered: 3\n",
"Percentage of Products Ordered: 60.0 %\n",
"The stock for t-shirt is 1\n",
"The stock for mug is 1\n",
"The stock for hat is 2\n",
"The stock for book is 3\n",
"The stock for keychain is 5\n"
]
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"\n",
"inventory = {}\n",
"\n",
"for product in products:\n",
" stock = int(input(f\"Please enter stock for article {product}\"))\n",
" inventory[product] = stock\n",
"\n",
"customer_orders = set()\n",
"\n",
"for purchase in range(3):\n",
" customer_orders.add(products[int(input(\"Please enter 0 for t-shirt, 1 for mug, 2 for hat, 3 for book or 4 for keychain\"))])\n",
"\n",
"print(customer_orders)\n",
"\n",
"total_products_ordered = len(customer_orders)\n",
"percentage_ordered = (len(customer_orders)/len(inventory.values()))*100\n",
"\n",
"print(f\"\"\"Order Statistics:\n",
"Total Products Ordered: {total_products_ordered}\n",
"Percentage of Products Ordered: {percentage_ordered} %\"\"\")\n",
"\n",
"for product in customer_orders:\n",
" inventory[product] -= 1\n",
"\n",
"for product in products:\n",
" print(\"The stock for\", product, \"is\", inventory[product])\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"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 @@ -68,7 +140,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.12.7"
}
},
"nbformat": 4,
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