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148 changes: 146 additions & 2 deletions lab-python-data-structures.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -21,6 +21,7 @@
"\n",
"1. Define a list called `products` that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n",
"\n",
"\n",
"2. Create an empty dictionary called `inventory`.\n",
"\n",
"3. 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.\n",
Expand Down Expand Up @@ -50,11 +51,154 @@
"\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": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 21, 'mug': 33, 'hat': 45, 'book': 34, 'keychain': 54}\n"
]
}
],
"source": [
"products=[\"t-shirt\",\"mug\",\"hat\",\"book\",\"keychain\"]\n",
"inventory={}\n",
"for p in products:\n",
" quantity= int(input(f\"how many units of {p} is in the inventory? \")) \n",
" if quantity == \"\":\n",
" quantity=0\n",
" else:\n",
" quantity =int(quantity)\n",
" \n",
" inventory[p]=quantity\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Choose 3 products from the list: ['t-shirt', 'mug', 'hat', 'book', 'keychain']\n"
]
}
],
"source": [
"products=[\"t-shirt\",\"mug\",\"hat\",\"book\",\"keychain\"]\n",
"costumer_orders= set()\n",
"print(\"Choose 3 products from the list:\", products)\n",
"for i in range(3):\n",
" while True:\n",
" item = input(f\"Product {i+1}: \").strip().lower()\n",
" if item in products:\n",
" costumer_orders.add (item)\n",
" break\n",
" else:\n",
" print=(\"Invalid product. Choose from:\", products)\n",
"\n",
"\n",
"print(\"\\nProducts Ordered:\", costumer_orders)\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'builtin_function_or_method'> <built-in function print>\n"
]
}
],
"source": [
"import builtins\n",
"builtins.print(type(print), print) "
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total Products Ordered: 3\n",
"Percentage of Products Ordered: 1.60%\n"
]
}
],
"source": [
"products=[\"t-shirt\",\"mug\",\"hat\",\"book\",\"keychain\"]\n",
"inventory={'t-shirt': 21, 'mug': 33, 'hat': 45, 'book': 34, 'keychain': 54}\n",
"costumer_orders= set()\n",
"costumer_orders.update([\"t-shirt\",\"mug\",\"hat\"])\n",
"total_ordered = len(costumer_orders)\n",
"total_inventory = sum(inventory.values())\n",
"if total_inventory > 0:\n",
" percentage_ordered = (total_ordered / total_inventory) * 100\n",
"else:\n",
" percentage_ordered = 0\n",
"print(f\"Total Products Ordered: {total_ordered}\")\n",
"print(f\"Percentage of Products Ordered: {percentage_ordered:.2f}%\")\n",
"\n",
"\n",
" \n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Updated Inventory:\n",
"t-shirt: 20\n",
"mug: 32\n",
"hat: 44\n",
"book: 34\n",
"keychain: 54\n"
]
}
],
"source": [
"\n",
"for item in costumer_orders:\n",
" if inventory.get(item, 0) > 0:\n",
" inventory[item] -= 1\n",
"print(\"\\nUpdated Inventory:\")\n",
"for p in products:\n",
" print(f\"{p}: {inventory.get(p, 0)}\")\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
Expand All @@ -68,7 +212,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
Expand Down