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new pull request #559

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07e3b51
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jomachase Sep 4, 2025
ec67059
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jomachase Sep 5, 2025
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2,123 changes: 2,123 additions & 0 deletions .ipynb_checkpoints/1.1_data_structures-checkpoint.ipynb
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135 changes: 132 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 +50,142 @@
"\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": 14,
"metadata": {},
"outputs": [],
"source": [
" products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"inventory = {} "
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Please enter the quantity for t-shirt: 4\n",
"Please enter the quantity for mug: 9\n",
"Please enter the quantity for hat: 6\n",
"Please enter the quantity for book: 7\n",
"Please enter the quantity for keychain: 8\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 4, 'mug': 9, 'hat': 6, 'book': 7, 'keychain': 8}\n"
]
}
],
"source": [
"for product in products:\n",
" key_input = input(f\"Please enter the quantity for {product}: \")\n",
" inventory[product] = int(key_input)\n",
" \n",
"print(inventory)\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Please enter name of items from the products list ['t-shirt', 'mug', 'hat', 'book', 'keychain']: book\n",
"Please enter name of items from the products list ['t-shirt', 'mug', 'hat', 'book', 'keychain']: mug\n",
"Please enter name of items from the products list ['t-shirt', 'mug', 'hat', 'book', 'keychain']: hat\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'book', 'hat', 'mug'}\n"
]
}
],
"source": [
"customer_orders = set()\n",
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"\n",
"for i in range(3):\n",
" product = input(f\"Please enter name of items from the products list {products}: \") \n",
" if product in products: \n",
" customer_orders.add(product)\n",
" else:\n",
" print(f\"{product} is not in the product list. Please try again.\")\n",
"\n",
"print(customer_orders) \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"import statistics"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"ename": "SyntaxError",
"evalue": "unmatched ')' (180260199.py, line 5)",
"output_type": "error",
"traceback": [
" \u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[13]\u001b[39m\u001b[32m, line 5\u001b[39m\n\u001b[31m \u001b[39m\u001b[31mprint)('Ordered Statistics:')\u001b[39m\n ^\n\u001b[31mSyntaxError\u001b[39m\u001b[31m:\u001b[39m unmatched ')'\n"
]
}
],
"source": [
"customer_set = {'book', 'hat', 'mug'}\n",
"product_orders = {'t-shirt': 4, 'mug': 9, 'hat': 6, 'book': 7, 'keychain': 8}\n",
"total_products_ordered = sum(product_orders.values())\n",
"\n",
"print)('Ordered Statistics:')\n",
"print(total_products_ordered)\n",
"print(sum(products_ordered.values)/total_products_ordered))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "python-starter",
"language": "python",
"name": "python3"
"name": "conda-env-python-starter"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -68,7 +197,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.11.13"
}
},
"nbformat": 4,
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