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Laboratory completed #624

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224 changes: 223 additions & 1 deletion lab-python-data-structures.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -50,6 +50,228 @@
"\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": 1,
"metadata": {},
"outputs": [],
"source": [
"#1\n",
"products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"#2\n",
"inventory={}"
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"quantity of t-shirt: 5\n",
"quantity of mug: 4\n",
"quantity of hat: 3\n",
"quantity of book: 2\n",
"quantity of keychain: 1\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 5, 'mug': 4, 'hat': 3, 'book': 2, 'keychain': 1}\n"
]
}
],
"source": [
"#3\n",
"for product in products:\n",
" quantity=int(input(f\"quantity of {product}:\"))\n",
" inventory[product]=quantity\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"#4\n",
"customer_orders=set()"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"available products are ['t-shirt', 'mug', 'hat', 'book', 'keychain']: book\n",
"available products are ['t-shirt', 'mug', 'hat', 'book', 'keychain']: hat\n",
"available products are ['t-shirt', 'mug', 'hat', 'book', 'keychain']: sh\n",
"product not available or already selected, please select a product out of ['t-shirt', 'mug', 'hat', 'book', 'keychain']: book\n",
"available products are ['t-shirt', 'mug', 'hat', 'book', 'keychain']: keychain\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'book', 'hat', 'keychain'}\n"
]
}
],
"source": [
"#5\n",
"customer_orders.clear()\n",
"while len(customer_orders)<3:\n",
" customer_product=input(f\"available products are {products}:\")\n",
" if customer_product not in products or customer_product in customer_orders:\n",
" customer_product2=input(f\"product not available or already selected, please select a product out of {products}:\")\n",
" if customer_product2 in products and customer_product2 not in customer_orders:\n",
" customer_orders.add(customer_product2)\n",
" else:\n",
" customer_orders.add(customer_product)\n",
"print(customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'book', 'hat', 'keychain'}\n"
]
}
],
"source": [
"#6\n",
"print(customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(3, '60%')\n"
]
}
],
"source": [
"#7\n",
"#Total Products Ordered: The total number of products in the customer_orders set.\n",
"number_orders=len(customer_orders)\n",
"ordered_products=f\"{int((number_orders/len(products))*100)}%\"\n",
"order_status=(number_orders, ordered_products)\n",
"print(order_status)"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics:\n",
"Total Products Ordered: 3\n",
"Percentage of Products Ordered: 60%\n"
]
}
],
"source": [
"#8\n",
"print(f\"Order Statistics:\\nTotal Products Ordered: {number_orders}\\nPercentage of Products Ordered: {ordered_products}\")"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 5, 'mug': 4, 'hat': 3, 'book': 2, 'keychain': 1}\n"
]
}
],
"source": [
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 81,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 5, 'mug': 4, 'hat': 2, 'book': 1, 'keychain': 0}\n"
]
}
],
"source": [
"#9\n",
"for order in customer_orders:\n",
" inventory[order]=inventory[order]-1\n",
"#print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 82,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 5, 'mug': 4, 'hat': 2, 'book': 1, 'keychain': 0}\n"
]
}
],
"source": [
"#10\n",
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -68,7 +290,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.12.4"
}
},
"nbformat": 4,
Expand Down