lab-structures-complete

LabDataStructures.ipynb

@@ -0,0 +1,220 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "21d53c08-fd8f-4d32-9af8-8e698f69296c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter the t-shirt quantity here:  4\n",
+      "Enter the mug quantity here:  6\n",
+      "Enter the hat quantity here:  2\n",
+      "Enter the book quantity here:  5\n",
+      "Enter the keychain quantity here:  1\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 4, 'mug': 6, 'hat': 2, 'book': 5, 'keychain': 1}\n"
+     ]
+    }
+   ],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "\n",
+    "inventory = {}\n",
+    "\n",
+    "for items in products: \n",
+    "    quantity = int(input(f\"Enter the {items} quantity here: \"))\n",
+    "    inventory[items] = quantity\n",
+    "\n",
+    "print(inventory)\n",
+    "\n",
+    "### inventory[\"t-shirt\"] = int(input(\"Enter quantity for t-shirt: \"))\n",
+    "### inventory[\"mug\"] = int(input(\"Enter quantity for mug: \"))\n",
+    "### inventory[\"hat\"] = int(input(\"Enter quantity for hat: \"))\n",
+    "### inventory[\"book\"] = int(input(\"Enter quantity for book: \"))\n",
+    "### inventory[\"keychain\"] = int(input(\"Enter quantity for keychain: \"))\n",
+    "\n",
+    "### the above is an example of taking the inventory without using for loops"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "e7ceec06-871b-4104-b086-55997d1aadc4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Enter the name of product 1:  t-shirt\n",
+      "Enter the name of product 2:  hat\n",
+      "Enter the name of product 3:  mug\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'hat', 't-shirt', 'mug'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "customer_orders = set()\n",
+    "\n",
+    "for i in range(3):\n",
+    "    product_name = input(f\"Enter the name of product {i + 1}: \")\n",
+    "    customer_orders.add(product_name)\n",
+    "\n",
+    "print(customer_orders)\n",
+    "\n",
+    "\n",
+    "### product1 = input(\"Enter product 1: \")\n",
+    "### product2 = input(\"Enter product 2: \")\n",
+    "### product3 = input(\"Enter product 3: \")\n",
+    "\n",
+    "### customer_orders.add(product1)\n",
+    "### customer_orders.add(product2)\n",
+    "### customer_orders.add(product3)\n",
+    "\n",
+    "### again, the idea of inputting the data without using for loops\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "0fc4d511-99f0-4270-87a2-78ba2273ddaf",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3\n"
+     ]
+    }
+   ],
+   "source": [
+    "total_products_ordered = len(customer_orders)\n",
+    "print(total_products_ordered)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "2e73b527-1a37-4f99-98db-05c285596ca4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "60.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "percent_ordered = (total_products_ordered / len(products)) * 100\n",
+    "print(percent_ordered)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "43ba81dc-019b-458a-b90f-7d7f370823b3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "order_status = (total_products_ordered, percent_ordered) \n",
+    "\n",
+    "### first tuple I think I've used? "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "67a34627-63d3-41eb-af39-9242c72f9237",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics:  (3, 60.0)\n",
+      "Total Products Ordered:  3\n",
+      "Percentage of Products Ordered:  60.0 %\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Order Statistics: \" , order_status)\n",
+    "print(\"Total Products Ordered: \" , order_status[0])\n",
+    "print(\"Percentage of Products Ordered: \" , order_status[1] , \"%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "50a1c167-fa69-433f-a792-e81a55704097",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "t-shirt: 3\n",
+      "mug: 5\n",
+      "hat: 1\n",
+      "book: 5\n",
+      "keychain: 1\n"
+     ]
+    }
+   ],
+   "source": [
+    "for item in customer_orders:\n",
+    "    inventory[item] -= 1\n",
+    "\n",
+    "for product, quantity in inventory.items():\n",
+    "    print(f\"{product}: {quantity}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e76d6340-c281-4d46-83b4-72697e57f636",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [conda env:base] *",
+   "language": "python",
+   "name": "conda-base-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}