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Week 1 Lab Data Structures by LaloMontealvo · Pull Request #535 · data-bootcamp-v4/lab-python-data-structures · GitHub
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Week 1 Lab Data Structures #535

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Week 1 Lab Data Structures #535

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72 changes: 61 additions & 11 deletions lab-python-data-structures.ipynb
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Original file line number Diff line number Diff line change
@@ -1,14 +1,5 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"tags": []
},
"source": [
"# Lab | Data Structures "
]
},
{
"cell_type": "markdown",
"metadata": {},
Expand Down Expand Up @@ -50,11 +41,70 @@
"\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": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'hat'}\n",
"Order Statistics:\n",
"Total Products Ordered: 1\n",
"Percentage of Products Ordered: 20.0%\n",
"{'hat', 'mug'}\n",
"Order Statistics:\n",
"Total Products Ordered: 2\n",
"Percentage of Products Ordered: 40.0%\n",
"{'book', 'hat', 'mug'}\n",
"Order Statistics:\n",
"Total Products Ordered: 3\n",
"Percentage of Products Ordered: 60.0%\n",
"t-shirt: 38\n",
"mug: 59\n",
"hat: 24\n",
"book: 869\n",
"keychain: 20\n"
]
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = {}\n",
"for product in products:\n",
" quantity = int(input(f\"Enter the quantity of {product}: \"))\n",
" inventory[product] = quantity\n",
"\n",
"customer_orders = set()\n",
"for i in range(3):\n",
" order = input(f\"Enter the name of product {i+1} to order: \")\n",
" customer_orders.add(order)\n",
" print(customer_orders)\n",
"\n",
" total_products_ordered = len(customer_orders)\n",
" percentage_ordered = (total_products_ordered / len(products)) * 100\n",
" order_status = (total_products_ordered, percentage_ordered)\n",
" print(\"Order Statistics:\") \n",
" print(f\"Total Products Ordered: {order_status[0]}\")\n",
" print(f\"Percentage of Products Ordered: {order_status[1]}%\")\n",
"\n",
"for product in customer_orders:\n",
" if product in inventory:\n",
" inventory[product] -= 1\n",
"\n",
"for product, quantity in inventory.items():\n",
" print(f\"{product}: {quantity}\") \n",
" \n",
" "
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "data-analyst",
"language": "python",
"name": "python3"
},
Expand All @@ -68,7 +118,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
Expand Down