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205 changes: 203 additions & 2 deletions lab-python-data-structures.ipynb
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
{
"cells": [
{
"cell_type": "markdown",
"cell_type": "raw",
"metadata": {
"tags": []
},
Expand Down Expand Up @@ -50,6 +50,207 @@
"\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": 83,
"metadata": {},
"outputs": [],
"source": [
"#1 Define a list called products that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n",
"products =[\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
]
},
{
"cell_type": "code",
"execution_count": 84,
"metadata": {},
"outputs": [],
"source": [
"#2 Create an empty dictionary called inventory.\n",
"inventory = {}"
]
},
{
"cell_type": "code",
"execution_count": 85,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Please give me the stock of t-shirt 10\n",
"Please give me the stock of mug 10\n",
"Please give me the stock of hat 10\n",
"Please give me the stock of book 10\n",
"Please give me the stock of keychain 10\n"
]
}
],
"source": [
"# 3 Ask the user to input the quantity of each product available in the inventory.\n",
"#Use the product names from the products list as keys in the inventory dictionary and assign the respective quantities as values\n",
"for product in products:\n",
" stock= input(f\"Please give me the stock of {product}\") \n",
" while not stock.isdigit():\n",
" stock= input(f\"Please give me the stock of {product}\")\n",
" inventory[product] = int(stock) "
]
},
{
"cell_type": "code",
"execution_count": 86,
"metadata": {},
"outputs": [],
"source": [
"#4 Create an empty set called customer_orders\n",
"customer_orders = set()"
]
},
{
"cell_type": "code",
"execution_count": 87,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"choose 3 products only : t-shirt, mug, hat, book, keychain hat,mug,book\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"user_choice: ['hat', 'mug', 'book']\n"
]
}
],
"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, meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\". \n",
"#Add each product name to the customer_orders set.\n",
"customer_orders = set()\n",
"user_whishlist = input(\"choose 3 products only : t-shirt, mug, hat, book, keychain \")\n",
"try:\n",
" user_choice = user_whishlist.split(',')\n",
" number_item = len(user_choice)\n",
" while number_item != 3:\n",
" user_whishlist = input(\" only 3 products are possible \")\n",
" user_choice = user_whishlist.split(',')\n",
" number_item = len(user_choice)\n",
" else:\n",
" print(f\"user_choice: {user_choice}\")\n",
" for choice in user_choice:\n",
" if choice in products:\n",
" customer_orders.add(choice)\n",
" else:\n",
" customer_orders = set()\n",
" print(\"you didn't choose the right products types and you will loose your order\")\n",
" \n",
"except:\n",
" input(\"you didn't choose the right products types/number\")\n",
" \n"
]
},
{
"cell_type": "code",
"execution_count": 88,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'hat', 'mug', 'book'}\n"
]
}
],
"source": [
"# 6 Print the products in the customer_orders set.\n",
"print(customer_orders) "
]
},
{
"cell_type": "code",
"execution_count": 99,
"metadata": {},
"outputs": [],
"source": [
"# 7 Calculate the following order statistics:\n",
"from functools import reduce\n",
"total_available_products =reduce(lambda a, b: a + b, inventory.values())\n",
"total_products_ordered = len(user_choice)\n",
"order_status = (total_products_ordered /total_available_products) * 100\n"
]
},
{
"cell_type": "code",
"execution_count": 102,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Order Statistics:\n",
"Total Products Ordered: 3 \n",
"Percentage of Products Ordered: 6.0%\n"
]
}
],
"source": [
"# 8 Print the order statistics using the following format:\n",
"\n",
"print(f\"\"\"Order Statistics:\n",
"Total Products Ordered: {total_products_ordered} \n",
"Percentage of Products Ordered: {order_status}%\"\"\" )"
]
},
{
"cell_type": "code",
"execution_count": 104,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'t-shirt': 10, 'mug': 9, 'hat': 9, 'book': 9, 'keychain': 10}\n"
]
}
],
"source": [
"#9 Update the inventory by subtracting 1 from the quantity of each product. \n",
"#Modify the inventory dictionary accordingly.\n",
"for order_item in customer_orders:\n",
" inventory[order_item] -= 1"
]
},
{
"cell_type": "code",
"execution_count": 106,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The updated stock for t-shirt is 10\n",
"The updated stock for mug is 9\n",
"The updated stock for hat is 9\n",
"The updated stock for book is 9\n",
"The updated stock for keychain is 10\n"
]
}
],
"source": [
"# 10 Print the updated inventory, displaying the quantity of each product on separate lines\n",
"for key,value in inventory.items():\n",
" print(f\"The updated stock for {key} is {value}\")\n"
]
}
],
"metadata": {
Expand All @@ -68,7 +269,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
Expand Down