From 5fc21c03f89255452eb9f2fb270f56884c7a42e6 Mon Sep 17 00:00:00 2001
From: Melissa Sanchez <melissa.sanchez.mx@gmail.com>
Date: Mon, 15 Jun 2026 16:15:09 +0200
Subject: [PATCH 1/4] githubtest

---
 .DS_Store                        | Bin 0 -> 6148 bytes
 lab-python-data-structures.ipynb |  13 +++++++++++++
 2 files changed, 13 insertions(+)
 create mode 100644 .DS_Store

diff --git a/.DS_Store b/.DS_Store
new file mode 100644
index 0000000000000000000000000000000000000000..9e31874aa36bd7fc72ca711e47c14d936e53b29d
GIT binary patch
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diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..e0f28481 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -9,6 +9,19 @@
     "# Lab | Data Structures "
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "vscode": {
+     "languageId": "plaintext"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "#test GitHub"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

From b53cbf58a8347a64327d514847fc6b1cc0f2f06e Mon Sep 17 00:00:00 2001
From: Melissa Sanchez <melissa.sanchez.mx@gmail.com>
Date: Mon, 15 Jun 2026 16:32:10 +0200
Subject: [PATCH 2/4] githubtest

---
 .DS_Store | Bin 6148 -> 6148 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)

diff --git a/.DS_Store b/.DS_Store
index 9e31874aa36bd7fc72ca711e47c14d936e53b29d..d3bb206717d79f13482d75fa3be0f6a7ba75f240 100644
GIT binary patch
delta 113
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delta 113
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c$@#ejKs^i$j2AWwGJa#5SirZLo#QV*0HIkO-2eap


From bda91d073b03f130e0dd7e21b78af14960cdccd6 Mon Sep 17 00:00:00 2001
From: Melissa Sanchez <melissa.sanchez.mx@gmail.com>
Date: Mon, 15 Jun 2026 19:36:50 +0200
Subject: [PATCH 3/4] Update lab file

---
 .DS_Store                                     | Bin 0 -> 6148 bytes
 ...ab-python-data-structures-checkpoint.ipynb | 349 ++++++++++++++++++
 lab-python-data-structures.ipynb              | 275 +++++++++++++-
 3 files changed, 623 insertions(+), 1 deletion(-)
 create mode 100644 .DS_Store
 create mode 100644 .ipynb_checkpoints/lab-python-data-structures-checkpoint.ipynb

diff --git a/.DS_Store b/.DS_Store
new file mode 100644
index 0000000000000000000000000000000000000000..9e31874aa36bd7fc72ca711e47c14d936e53b29d
GIT binary patch
literal 6148
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zM-DKSypy#(*<=oJEFwC8Ud==%B2vQ*<zUO$EN?!tvl6L*YWLWzXN!k+yBk%W4j8wR
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zHmffJxl#ctKn1=Pu<t{H8|H#tpnp2B_y_>B-*`7%`z!%W769ggT_7Sb4Jt6GT1E^F
zI^wC+<$_&c&_(@Z+^3wZWkOLu9r5JlqB)Q&6`%q`1<qqTvHpJtKQaFgN!(EZD)6Ti
z(5hK9bG%aNt)rK-UYp?e@GnEHmt*l(4D?ovjkV&-UR|<l<a5C;(CLUf9mpR6(}hL_
HenWvzv5+X5

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diff --git a/.ipynb_checkpoints/lab-python-data-structures-checkpoint.ipynb b/.ipynb_checkpoints/lab-python-data-structures-checkpoint.ipynb
new file mode 100644
index 00000000..999e59f7
--- /dev/null
+++ b/.ipynb_checkpoints/lab-python-data-structures-checkpoint.ipynb
@@ -0,0 +1,349 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "# Lab | Data Structures "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "vscode": {
+     "languageId": "plaintext"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "#test GitHub"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Exercise: Managing Customer Orders\n",
+    "\n",
+    "As part of a business venture, you are starting an online store that sells various products. To ensure smooth operations, you need to develop a program that manages customer orders and inventory.\n",
+    "\n",
+    "Follow the steps below to complete the exercise:\n",
+    "\n",
+    "1. Define a list called `products` that contains the following items: \"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\".\n",
+    "\n",
+    "2. Create an empty dictionary called `inventory`.\n",
+    "\n",
+    "3. Ask the user to input the quantity of each product available in the inventory. Use the product names from the `products` list as keys in the `inventory` dictionary and assign the respective quantities as values.\n",
+    "\n",
+    "4. Create an empty set called `customer_orders`.\n",
+    "\n",
+    "5. Ask the user to input the name of three products that a customer wants to order (from those in the products list, meaning three products out of \"t-shirt\", \"mug\", \"hat\", \"book\" or \"keychain\". Add each product name to the `customer_orders` set.\n",
+    "\n",
+    "6. Print the products in the `customer_orders` set.\n",
+    "\n",
+    "7. Calculate the following order statistics:\n",
+    "   - Total Products Ordered: The total number of products in the `customer_orders` set.\n",
+    "   - Percentage of Products Ordered: The percentage of products ordered compared to the total available products.\n",
+    "   \n",
+    "   Store these statistics in a tuple called `order_status`.\n",
+    "\n",
+    "8. Print the order statistics using the following format:\n",
+    "   ```\n",
+    "   Order Statistics:\n",
+    "   Total Products Ordered: <total_products_ordered>\n",
+    "   Percentage of Products Ordered: <percentage_ordered>% \n",
+    "   ```\n",
+    "\n",
+    "9. Update the inventory by subtracting 1 from the quantity of each product. Modify the `inventory` dictionary accordingly.\n",
+    "\n",
+    "10. Print the updated inventory, displaying the quantity of each product on separate lines.\n",
+    "\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": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory = {}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Please add the quantity for t-shirt 5\n",
+      "Please add the quantity for mug 9\n",
+      "Please add the quantity for hat 7\n",
+      "Please add the quantity for book 4\n",
+      "Please add the quantity for keychain 6\n"
+     ]
+    }
+   ],
+   "source": [
+    "for product in products:\n",
+    "    quantity = int(input(\"Please add the quantity for \" + product))\n",
+    "    inventory[product] = quantity"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 5, 'mug': 9, 'hat': 7, 'book': 4, 'keychain': 6}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_orders = set()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Available products: ['t-shirt', 'mug', 'hat', 'book', 'keychain']\n"
+     ]
+    },
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Please enter your order here:  book\n",
+      "Please enter your order here:  hat\n",
+      "Please enter your order here:  mug\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Available products:\", products)\n",
+    "customer_orders = set()\n",
+    "for i in range(3):\n",
+    "    product = input(\"Please enter your order here: \")\n",
+    "    customer_orders.add(product)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'book', 'hat', 'mug'}"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customer_orders"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "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": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "60.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "percentage_products_ordered = (total_products_ordered / len(products))*100\n",
+    "print (percentage_products_ordered)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(3, 60.0)\n"
+     ]
+    }
+   ],
+   "source": [
+    "order_status = (total_products_ordered, percentage_products_ordered)\n",
+    "print(order_status)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics:\n",
+      "Total products ordered: 3\n",
+      "Percentage of products ordered: 60.0%\n"
+     ]
+    }
+   ],
+   "source": [
+    "print (\"Order Statistics:\")\n",
+    "print(\"Total products ordered:\", total_products_ordered)\n",
+    "print(\"Percentage of products ordered:\", str(percentage_products_ordered) + \"%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 5, 'mug': 9, 'hat': 7, 'book': 4, 'keychain': 6}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(inventory)\n",
+    "for product in customer_orders:\n",
+    "    inventory[product] -= 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'t-shirt': 5, 'mug': 8, 'hat': 6, 'book': 3, 'keychain': 6}"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "inventory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "t-shirt : 5\n",
+      "mug : 8\n",
+      "hat : 6\n",
+      "book : 3\n",
+      "keychain : 6\n"
+     ]
+    }
+   ],
+   "source": [
+    "for product in inventory:\n",
+    "    print (product, \":\", inventory[product])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "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": 4
+}
diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..999e59f7 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -9,6 +9,19 @@
     "# Lab | Data Structures "
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "vscode": {
+     "languageId": "plaintext"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "#test GitHub"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -50,6 +63,266 @@
     "\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": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "inventory = {}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Please add the quantity for t-shirt 5\n",
+      "Please add the quantity for mug 9\n",
+      "Please add the quantity for hat 7\n",
+      "Please add the quantity for book 4\n",
+      "Please add the quantity for keychain 6\n"
+     ]
+    }
+   ],
+   "source": [
+    "for product in products:\n",
+    "    quantity = int(input(\"Please add the quantity for \" + product))\n",
+    "    inventory[product] = quantity"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 5, 'mug': 9, 'hat': 7, 'book': 4, 'keychain': 6}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(inventory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_orders = set()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Available products: ['t-shirt', 'mug', 'hat', 'book', 'keychain']\n"
+     ]
+    },
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "Please enter your order here:  book\n",
+      "Please enter your order here:  hat\n",
+      "Please enter your order here:  mug\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Available products:\", products)\n",
+    "customer_orders = set()\n",
+    "for i in range(3):\n",
+    "    product = input(\"Please enter your order here: \")\n",
+    "    customer_orders.add(product)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'book', 'hat', 'mug'}"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customer_orders"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "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": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "60.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "percentage_products_ordered = (total_products_ordered / len(products))*100\n",
+    "print (percentage_products_ordered)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(3, 60.0)\n"
+     ]
+    }
+   ],
+   "source": [
+    "order_status = (total_products_ordered, percentage_products_ordered)\n",
+    "print(order_status)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Order Statistics:\n",
+      "Total products ordered: 3\n",
+      "Percentage of products ordered: 60.0%\n"
+     ]
+    }
+   ],
+   "source": [
+    "print (\"Order Statistics:\")\n",
+    "print(\"Total products ordered:\", total_products_ordered)\n",
+    "print(\"Percentage of products ordered:\", str(percentage_products_ordered) + \"%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'t-shirt': 5, 'mug': 9, 'hat': 7, 'book': 4, 'keychain': 6}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(inventory)\n",
+    "for product in customer_orders:\n",
+    "    inventory[product] -= 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'t-shirt': 5, 'mug': 8, 'hat': 6, 'book': 3, 'keychain': 6}"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "inventory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "t-shirt : 5\n",
+      "mug : 8\n",
+      "hat : 6\n",
+      "book : 3\n",
+      "keychain : 6\n"
+     ]
+    }
+   ],
+   "source": [
+    "for product in inventory:\n",
+    "    print (product, \":\", inventory[product])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -68,7 +341,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,

From e324bf210294a3d4a7f75798e5724cfd8ec7c5f4 Mon Sep 17 00:00:00 2001
From: Melissa Sanchez <melissa.sanchez.mx@gmail.com>
Date: Mon, 15 Jun 2026 19:48:25 +0200
Subject: [PATCH 4/4] Clean merge and resolve DS_Store

---
 .DS_Store  | Bin 6148 -> 0 bytes
 .gitignore |   1 +
 2 files changed, 1 insertion(+)
 delete mode 100644 .DS_Store
 create mode 100644 .gitignore

diff --git a/.DS_Store b/.DS_Store
deleted file mode 100644
index 9e31874aa36bd7fc72ca711e47c14d936e53b29d..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 6148
zcmeHKK~BR!474GKNL+fU#ElgXK<W>cD!iZ{K&4VaYLy-e=Wyzm`U9>!g(on!7nCR}
zM-DKSypy#(*<=oJEFwC8Ud==%B2vQ*<zUO$EN?!tvl6L*YWLWzXN!k+yBk%W4j8wR
z8(GVf?1%i<V?VcTn`XIbmx$Fb*N5rV$J^~Nzxpx1d+a@%zJp4m0#twsPys6NFBL$~
zHmffJxl#ctKn1=Pu<t{H8|H#tpnp2B_y_>B-*`7%`z!%W769ggT_7Sb4Jt6GT1E^F
zI^wC+<$_&c&_(@Z+^3wZWkOLu9r5JlqB)Q&6`%q`1<qqTvHpJtKQaFgN!(EZD)6Ti
z(5hK9bG%aNt)rK-UYp?e@GnEHmt*l(4D?ovjkV&-UR|<l<a5C;(CLUf9mpR6(}hL_
HenWvzv5+X5

diff --git a/.gitignore b/.gitignore
new file mode 100644
index 00000000..e43b0f98
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1 @@
+.DS_Store