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Title #746

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174947f
Lab solution Day1
cadiyubu May 5, 2026
9c94b83
Completed Lab
cadiyubu May 6, 2026
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280 changes: 277 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 +50,287 @@
"\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": [],
"source": [
"#1. Define a list called products"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
"products=[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"2. #Create an empty dictionary called inventory."
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"inventory={}"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#3. Ask the user to input the quantity of each product available in the inventory. "
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the quantity of the product t-shirt 3\n",
"Enter the quantity of the product mug 3\n",
"Enter the quantity of the product hat 3\n",
"Enter the quantity of the product book 3\n",
"Enter the quantity of the product keychain 3\n"
]
}
],
"source": [
"for i in products:\n",
" inventory[i]=int(input(f\"Enter the quantity of the product {i}\"))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#4. Create an empty set called customer_orders."
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [],
"source": [
"customer_orders=set()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"#5. Ask the user to input the name of three products that a customer wants to order \n",
"#(from those in the products list)"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Item 1:Type the exact name of the product you would like mug\n",
"Item 2:Type the exact name of the product you would like hat\n",
"Item 3:Type the exact name of the product you would like \n"
]
}
],
"source": [
"itemN=1\n",
"while itemN <=3:\n",
" item=input(f\"Item {itemN}:Type the exact name of the product you would like\")\n",
" if item in products:\n",
" customer_orders.add(item)\n",
" itemN +=1\n",
" elif item==\"\":\n",
" itemN+=1\n",
" elif type(item)==str:\n",
" print(\"Enter the product name again, check in case of any typos\")\n",
" \n",
"\n",
" \n",
" "
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'hat', 'mug'}\n"
]
}
],
"source": [
"#6. Print the products in the customer_orders set.\n",
"print(customer_orders)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#7. Calculate: Total Products Ordered & Percentage of Products Ordered.\n",
"#Store these statistics in a tuple called `order_status`."
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(2, 28.571428571428573)\n"
]
}
],
"source": [
"#Total products ordered\n",
"total_order=len(customer_orders)\n",
"#Percentage of Products Ordered: <percentage_ordered>% \n",
"percent_prod= (total_order*100)/total_inventory\n",
"order_status=(total_order, percent_prod)\n",
"\n",
"print(order_status)\n",
"#total_inventory= sum(inventory.values())"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total Products Ordered: 2\n",
"Percentage of Products Ordered: 28.571428571428573%\n"
]
}
],
"source": [
"#8. Order Statistics:\n",
"print(f\"Total Products Ordered: {total_order}\")\n",
"print(f\"Percentage of Products Ordered: {percent_prod}%\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#9. Update the inventory by subtracting 1 from the quantity of each product. \n",
"#Modify the `inventory` dictionary accordingly."
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [],
"source": [
"for order in customer_orders:\n",
" inventory[order]-=1\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#10. Print the updated inventory, displaying the quantity of each product on separate lines."
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 3, 'mug': 1, 'hat': 1, 'book': 3, 'keychain': 3}\n"
]
}
],
"source": [
"print(inventory)"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The number of t-shirt that are left in the inventory are 3\n",
"The number of mug that are left in the inventory are 1\n",
"The number of hat that are left in the inventory are 1\n",
"The number of book that are left in the inventory are 3\n",
"The number of keychain that are left in the inventory are 3\n"
]
}
],
"source": [
"for x,y in inventory.items():\n",
" print(f\"The number of {x} that are left in the inventory are {y}\")"
]
},
{
"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 +342,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.9"
}
},
"nbformat": 4,
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