From c494e1b3fe229422dbb4e17d562ef69a899a3936 Mon Sep 17 00:00:00 2001
From: Kevin Gonzalez <kevinjgonzalezp@gmail.com>
Date: Mon, 13 Apr 2026 15:44:48 +0200
Subject: [PATCH 1/6] Update lab-python-data-structures.ipynb

prueba lab
---
 lab-python-data-structures.ipynb | 441 ++++++++++++++++++++++++++++++-
 1 file changed, 439 insertions(+), 2 deletions(-)

diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 5b3ce9e0..61b74938 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -50,11 +50,448 @@
     "\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. Crear lista de productos\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 2. Crear un diccionario de inventario\n",
+    "inventory = {}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 3 Preguntar al usuario la cantidad de cada producto\n",
+    "quantity1 = int(input(\"Enter quantity for t-shirt: \"))\n",
+    "inventory[\"t-shirt\"] = quantity1\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "10"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "quantity1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "quantity2 = int(input(\"Enter quantity for mug: \"))\n",
+    "inventory[\"mug\"] = quantity2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "8"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "quantity2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "quantity3 = int(input(\"Enter quantity for hat: \"))\n",
+    "inventory[\"hat\"] = quantity3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "6"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "quantity3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "quantity4 = int(input(\"Enter quantity for book: \"))\n",
+    "inventory[\"book\"] = quantity4"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "12"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "quantity4"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "quantity5 = int(input(\"Enter quantity for keychain: \"))\n",
+    "inventory[\"keychain\"] = quantity5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "4"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "quantity5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 4. Crea un set para almacenar los pedidos de los clientes\n",
+    "customer_orders = set()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "5# Pregunta al usuario por tres productos \n",
+    "order1 = input(\"Enter a product to order: \")\n",
+    "customer_orders.add(order1)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'t-shirt'"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "order1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "order2 = input(\"Enter a product to order: \")\n",
+    "customer_orders.add(order2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'mug'"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "order2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "order3 = input(\"Enter a product to order: \")\n",
+    "customer_orders.add(order3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'hat'"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "order3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Customer Orders: {'t-shirt', '\"t-shirt\"', 'mug', 'hat'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 6. Print the customer orders\n",
+    "print(\"Customer Orders:\", customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_orders.remove('t-shirt')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Customer Orders: {'\"t-shirt\"', 'mug', 'hat'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 6. print the customer orders after removing 't-shirt'\n",
+    "print(\"Customer Orders:\", customer_orders)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 7. Calcular estadisticas\n",
+    "total_products_ordered = len(customer_orders)\n",
+    "percentage_ordered = (total_products_ordered / len(products)) * 100"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "order_status = (total_products_ordered, percentage_ordered)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "3"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "total_products_ordered"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "60.0"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "percentage_ordered"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Order Statistics:\n",
+      "Total Products Ordered: 3\n",
+      "Percentage of Products Ordered: 60.0 %\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 8. Estadisticas\n",
+    "print(\"\\nOrder Statistics:\")\n",
+    "print(\"Total Products Ordered:\", order_status[0])\n",
+    "print(\"Percentage of Products Ordered:\", order_status[1], \"%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 9. Actualizar inventario \n",
+    "for product in inventory:\n",
+    "    inventory[product] -= 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Updated Inventory:\n",
+      "t-shirt : 9\n",
+      "mug : 7\n",
+      "hat : 5\n",
+      "book : 11\n",
+      "keychain : 3\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 10. inventario actualizado\n",
+    "print(\"\\nUpdated Inventory:\")\n",
+    "for product, quantity in inventory.items():\n",
+    "    print(product, \":\", quantity)"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -68,7 +505,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.9"
   }
  },
  "nbformat": 4,

From f21c0e53704ed383e30aa12e62465d6c7b15fda8 Mon Sep 17 00:00:00 2001
From: Kevin Gonzalez <kevinjgonzalezp@gmail.com>
Date: Mon, 13 Apr 2026 15:58:59 +0200
Subject: [PATCH 2/6] Update lab-python-data-structures.ipynb

prueba lab 1
---
 lab-python-data-structures.ipynb | 53 ++++++++------------------------
 1 file changed, 13 insertions(+), 40 deletions(-)

diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 61b74938..2cedbecd 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -325,34 +325,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Customer Orders: {'t-shirt', '\"t-shirt\"', 'mug', 'hat'}\n"
-     ]
-    }
-   ],
-   "source": [
-    "# 6. Print the customer orders\n",
-    "print(\"Customer Orders:\", customer_orders)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 54,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "customer_orders.remove('t-shirt')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 64,
    "metadata": {},
    "outputs": [
     {
@@ -364,13 +337,13 @@
     }
    ],
    "source": [
-    "# 6. print the customer orders after removing 't-shirt'\n",
+    "# 6. Print the customer orders\n",
     "print(\"Customer Orders:\", customer_orders)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 65,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -381,7 +354,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 66,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -390,7 +363,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 67,
    "metadata": {},
    "outputs": [
     {
@@ -399,7 +372,7 @@
        "3"
       ]
      },
-     "execution_count": 58,
+     "execution_count": 67,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -410,7 +383,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 68,
    "metadata": {},
    "outputs": [
     {
@@ -419,7 +392,7 @@
        "60.0"
       ]
      },
-     "execution_count": 59,
+     "execution_count": 68,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -430,7 +403,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 70,
    "metadata": {},
    "outputs": [
     {
@@ -440,7 +413,7 @@
       "\n",
       "Order Statistics:\n",
       "Total Products Ordered: 3\n",
-      "Percentage of Products Ordered: 60.0 %\n"
+      "Percentage of Products Ordered: 60.0%\n"
      ]
     }
    ],
@@ -448,12 +421,12 @@
     "# 8. Estadisticas\n",
     "print(\"\\nOrder Statistics:\")\n",
     "print(\"Total Products Ordered:\", order_status[0])\n",
-    "print(\"Percentage of Products Ordered:\", order_status[1], \"%\")"
+    "print(f\"Percentage of Products Ordered: {order_status[1]}%\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 72,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -464,7 +437,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 71,
    "metadata": {},
    "outputs": [
     {

From 64351ee451840a2f147d5fc9d015f5a73f0b7e92 Mon Sep 17 00:00:00 2001
From: Kevin Gonzalez <kevinjgonzalezp@gmail.com>
Date: Mon, 13 Apr 2026 16:07:19 +0200
Subject: [PATCH 3/6] Update lab-python-data-structures.ipynb

prueba lab 2
---
 lab-python-data-structures.ipynb | 92 +++++++++-----------------------
 1 file changed, 26 insertions(+), 66 deletions(-)

diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 2cedbecd..b600bcc2 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -53,7 +53,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 73,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -63,7 +63,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 74,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -73,7 +73,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 76,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -84,7 +84,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -104,7 +104,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 77,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -114,7 +114,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -134,7 +134,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 78,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -144,7 +144,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -164,7 +164,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 79,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -174,7 +174,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -194,7 +194,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 80,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -204,7 +204,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -224,7 +224,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -234,7 +234,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -245,7 +245,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -265,7 +265,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -275,7 +275,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -295,7 +295,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 85,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -305,7 +305,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 86,
    "metadata": {},
    "outputs": [
     {
@@ -314,7 +314,7 @@
        "'hat'"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 86,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -325,7 +325,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 83,
    "metadata": {},
    "outputs": [
     {
@@ -343,7 +343,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 87,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -354,7 +354,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 88,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -363,47 +363,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3"
-      ]
-     },
-     "execution_count": 67,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "total_products_ordered"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 68,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "60.0"
-      ]
-     },
-     "execution_count": 68,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "percentage_ordered"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 90,
    "metadata": {},
    "outputs": [
     {
@@ -426,7 +386,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 91,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -437,7 +397,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 92,
    "metadata": {},
    "outputs": [
     {

From 27b23f5ccb0fc94ce17cb47ef4934e17ada48a19 Mon Sep 17 00:00:00 2001
From: Kevin Gonzalez <kevinjgonzalezp@gmail.com>
Date: Mon, 13 Apr 2026 16:26:17 +0200
Subject: [PATCH 4/6] Update lab-python-data-structures.ipynb

prueba lab 3
---
 lab-python-data-structures.ipynb | 400 ++++---------------------------
 1 file changed, 52 insertions(+), 348 deletions(-)

diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index b600bcc2..bf28dbb8 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -53,370 +53,74 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 1. Crear lista de productos\n",
-    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 74,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 2. Crear un diccionario de inventario\n",
-    "inventory = {}"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 76,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 3 Preguntar al usuario la cantidad de cada producto\n",
-    "quantity1 = int(input(\"Enter quantity for t-shirt: \"))\n",
-    "inventory[\"t-shirt\"] = quantity1\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "10"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "quantity1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 77,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "quantity2 = int(input(\"Enter quantity for mug: \"))\n",
-    "inventory[\"mug\"] = quantity2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "8"
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "quantity2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 78,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "quantity3 = int(input(\"Enter quantity for hat: \"))\n",
-    "inventory[\"hat\"] = quantity3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "6"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "quantity3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 79,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "quantity4 = int(input(\"Enter quantity for book: \"))\n",
-    "inventory[\"book\"] = quantity4"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "12"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "quantity4"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 80,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "quantity5 = int(input(\"Enter quantity for keychain: \"))\n",
-    "inventory[\"keychain\"] = quantity5"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "4"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "quantity5"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 4. Crea un set para almacenar los pedidos de los clientes\n",
-    "customer_orders = set()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "5# Pregunta al usuario por tres productos \n",
-    "order1 = input(\"Enter a product to order: \")\n",
-    "customer_orders.add(order1)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'t-shirt'"
-      ]
-     },
-     "execution_count": 39,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "order1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "order2 = input(\"Enter a product to order: \")\n",
-    "customer_orders.add(order2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'mug'"
-      ]
-     },
-     "execution_count": 37,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "order2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 85,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "order3 = input(\"Enter a product to order: \")\n",
-    "customer_orders.add(order3)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 86,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'hat'"
-      ]
-     },
-     "execution_count": 86,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "order3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 96,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Customer Orders: {'\"t-shirt\"', 'mug', 'hat'}\n"
-     ]
-    }
-   ],
-   "source": [
-    "# 6. Print the customer orders\n",
-    "print(\"Customer Orders:\", customer_orders)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 87,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 7. Calcular estadisticas\n",
-    "total_products_ordered = len(customer_orders)\n",
-    "percentage_ordered = (total_products_ordered / len(products)) * 100"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 88,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "order_status = (total_products_ordered, percentage_ordered)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 90,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
+      "Customer Orders: {'mug', 't-shirt', 'hat'}\n",
       "Order Statistics:\n",
       "Total Products Ordered: 3\n",
-      "Percentage of Products Ordered: 60.0%\n"
-     ]
-    }
-   ],
-   "source": [
-    "# 8. Estadisticas\n",
-    "print(\"\\nOrder Statistics:\")\n",
-    "print(\"Total Products Ordered:\", order_status[0])\n",
-    "print(f\"Percentage of Products Ordered: {order_status[1]}%\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 91,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 9. Actualizar inventario \n",
-    "for product in inventory:\n",
-    "    inventory[product] -= 1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 92,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n",
+      "Percentage of Products Ordered: 60.0%\n",
       "Updated Inventory:\n",
       "t-shirt : 9\n",
       "mug : 7\n",
       "hat : 5\n",
-      "book : 11\n",
-      "keychain : 3\n"
+      "book : 12\n",
+      "keychain : 4\n"
      ]
     }
    ],
    "source": [
-    "# 10. inventario actualizado\n",
-    "print(\"\\nUpdated Inventory:\")\n",
+    "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
+    "\n",
+    "inventory = {}\n",
+    "\n",
+    "quantity1 = int(input(\"Enter quantity for t-shirt: \"))\n",
+    "inventory[\"t-shirt\"] = quantity1\n",
+    "\n",
+    "quantity2 = int(input(\"Enter quantity for mug: \"))\n",
+    "inventory[\"mug\"] = quantity2\n",
+    "\n",
+    "quantity3 = int(input(\"Enter quantity for hat: \"))\n",
+    "inventory[\"hat\"] = quantity3\n",
+    "\n",
+    "quantity4 = int(input(\"Enter quantity for book: \"))\n",
+    "inventory[\"book\"] = quantity4\n",
+    "\n",
+    "quantity5 = int(input(\"Enter quantity for keychain: \"))\n",
+    "inventory[\"keychain\"] = quantity5\n",
+    "\n",
+    "customer_orders = set()\n",
+    "\n",
+    "# Ask the user for three products\n",
+    "order1 = input(\"Enter a product to order: \")\n",
+    "customer_orders.add(order1)\n",
+    "\n",
+    "order2 = input(\"Enter a product to order: \")\n",
+    "customer_orders.add(order2)\n",
+    "\n",
+    "order3 = input(\"Enter a product to order: \")\n",
+    "customer_orders.add(order3)\n",
+    "\n",
+    "print(\"Customer Orders:\", customer_orders)\n",
+    "\n",
+    "total_products_ordered = len(customer_orders)\n",
+    "percentage_ordered = (total_products_ordered / len(products)) * 100\n",
+    "\n",
+    "order_status = (total_products_ordered, percentage_ordered)\n",
+    "\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",
+    "print(\"Updated Inventory:\")\n",
     "for product, quantity in inventory.items():\n",
     "    print(product, \":\", quantity)"
    ]

From 9b2db78c5d1b7027f0bbfdbef97b5db141693576 Mon Sep 17 00:00:00 2001
From: Kevin Gonzalez <kevinjgonzalezp@gmail.com>
Date: Mon, 13 Apr 2026 16:31:50 +0200
Subject: [PATCH 5/6] Update lab-python-data-structures.ipynb

prueba lab 4
---
 lab-python-data-structures.ipynb | 65 +++++++++++++++-----------------
 1 file changed, 30 insertions(+), 35 deletions(-)

diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index bf28dbb8..b6b0dfe7 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -53,7 +53,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": 97,
    "metadata": {},
    "outputs": [
     {
@@ -61,68 +61,63 @@
      "output_type": "stream",
      "text": [
       "Customer Orders: {'mug', 't-shirt', 'hat'}\n",
+      "\n",
       "Order Statistics:\n",
       "Total Products Ordered: 3\n",
       "Percentage of Products Ordered: 60.0%\n",
+      "\n",
       "Updated Inventory:\n",
-      "t-shirt : 9\n",
-      "mug : 7\n",
-      "hat : 5\n",
-      "book : 12\n",
-      "keychain : 4\n"
+      "t-shirt: 9\n",
+      "mug: 7\n",
+      "hat: 5\n",
+      "book: 11\n",
+      "keychain: 3\n"
      ]
     }
    ],
    "source": [
+    "# 1. Create a list of products\n",
     "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
     "\n",
+    "# 2. Create an empty dictionary for inventory\n",
     "inventory = {}\n",
     "\n",
-    "quantity1 = int(input(\"Enter quantity for t-shirt: \"))\n",
-    "inventory[\"t-shirt\"] = quantity1\n",
-    "\n",
-    "quantity2 = int(input(\"Enter quantity for mug: \"))\n",
-    "inventory[\"mug\"] = quantity2\n",
-    "\n",
-    "quantity3 = int(input(\"Enter quantity for hat: \"))\n",
-    "inventory[\"hat\"] = quantity3\n",
-    "\n",
-    "quantity4 = int(input(\"Enter quantity for book: \"))\n",
-    "inventory[\"book\"] = quantity4\n",
-    "\n",
-    "quantity5 = int(input(\"Enter quantity for keychain: \"))\n",
-    "inventory[\"keychain\"] = quantity5\n",
+    "# 3. Ask user for quantity of each product (using a loop - mejorado)\n",
+    "for product in products:\n",
+    "    quantity = int(input(f\"Enter quantity for {product}: \"))\n",
+    "    inventory[product] = quantity\n",
     "\n",
+    "# 4. Create an empty set for customer orders\n",
     "customer_orders = set()\n",
     "\n",
-    "# Ask the user for three products\n",
-    "order1 = input(\"Enter a product to order: \")\n",
-    "customer_orders.add(order1)\n",
-    "\n",
-    "order2 = input(\"Enter a product to order: \")\n",
-    "customer_orders.add(order2)\n",
-    "\n",
-    "order3 = input(\"Enter a product to order: \")\n",
-    "customer_orders.add(order3)\n",
+    "# 5. Ask the user for three products\n",
+    "for i in range(3):\n",
+    "    order = input(\"Enter a product to order: \")\n",
+    "    customer_orders.add(order)\n",
     "\n",
+    "# 6. Print customer orders\n",
     "print(\"Customer Orders:\", customer_orders)\n",
     "\n",
+    "# 7. Calculate statistics\n",
     "total_products_ordered = len(customer_orders)\n",
     "percentage_ordered = (total_products_ordered / len(products)) * 100\n",
     "\n",
+    "# Store in a tuple\n",
     "order_status = (total_products_ordered, percentage_ordered)\n",
     "\n",
-    "print(\"Order Statistics:\")\n",
+    "# 8. Print statistics (formato mejorado)\n",
+    "print(\"\\nOrder 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",
+    "# 9. Update inventory (según el enunciado: TODOS los productos)\n",
+    "for product in inventory:\n",
+    "    inventory[product] -= 1\n",
     "\n",
-    "print(\"Updated Inventory:\")\n",
+    "# 10. Print updated inventory (formato limpio)\n",
+    "print(\"\\nUpdated Inventory:\")\n",
     "for product, quantity in inventory.items():\n",
-    "    print(product, \":\", quantity)"
+    "    print(f\"{product}: {quantity}\")"
    ]
   }
  ],

From f648fd429d45b1b9760a0b9182c420164a75e4e0 Mon Sep 17 00:00:00 2001
From: Kevin Gonzalez <kevinjgonzalezp@gmail.com>
Date: Mon, 13 Apr 2026 16:43:07 +0200
Subject: [PATCH 6/6] Update lab-python-data-structures.ipynb

prueba lab 5
---
 lab-python-data-structures.ipynb | 36 +++++++++++++++++---------------
 1 file changed, 19 insertions(+), 17 deletions(-)

diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index b6b0dfe7..68e6a1ff 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -53,7 +53,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 97,
+   "execution_count": 98,
    "metadata": {},
    "outputs": [
     {
@@ -76,45 +76,47 @@
     }
    ],
    "source": [
-    "# 1. Create a list of products\n",
     "products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
     "\n",
-    "# 2. Create an empty dictionary for inventory\n",
     "inventory = {}\n",
     "\n",
-    "# 3. Ask user for quantity of each product (using a loop - mejorado)\n",
+    "# Input inventory with validation\n",
     "for product in products:\n",
-    "    quantity = int(input(f\"Enter quantity for {product}: \"))\n",
-    "    inventory[product] = quantity\n",
+    "    while True:\n",
+    "        try:\n",
+    "            quantity = int(input(f\"Enter quantity for {product}: \"))\n",
+    "            inventory[product] = quantity\n",
+    "            break\n",
+    "        except:\n",
+    "            print(\"Please enter a valid number\")\n",
     "\n",
-    "# 4. Create an empty set for customer orders\n",
     "customer_orders = set()\n",
     "\n",
-    "# 5. Ask the user for three products\n",
+    "# Input orders with validation\n",
     "for i in range(3):\n",
-    "    order = input(\"Enter a product to order: \")\n",
-    "    customer_orders.add(order)\n",
+    "    while True:\n",
+    "        order = input(\"Enter a product to order: \")\n",
+    "        if order in products:\n",
+    "            customer_orders.add(order)\n",
+    "            break\n",
+    "        else:\n",
+    "            print(\"Invalid product, try again\")\n",
     "\n",
-    "# 6. Print customer orders\n",
     "print(\"Customer Orders:\", customer_orders)\n",
     "\n",
-    "# 7. Calculate statistics\n",
     "total_products_ordered = len(customer_orders)\n",
     "percentage_ordered = (total_products_ordered / len(products)) * 100\n",
     "\n",
-    "# Store in a tuple\n",
     "order_status = (total_products_ordered, percentage_ordered)\n",
     "\n",
-    "# 8. Print statistics (formato mejorado)\n",
     "print(\"\\nOrder Statistics:\")\n",
     "print(f\"Total Products Ordered: {order_status[0]}\")\n",
     "print(f\"Percentage of Products Ordered: {order_status[1]}%\")\n",
     "\n",
-    "# 9. Update inventory (según el enunciado: TODOS los productos)\n",
-    "for product in inventory:\n",
+    "# Clear inventory update\n",
+    "for product in products:\n",
     "    inventory[product] -= 1\n",
     "\n",
-    "# 10. Print updated inventory (formato limpio)\n",
     "print(\"\\nUpdated Inventory:\")\n",
     "for product, quantity in inventory.items():\n",
     "    print(f\"{product}: {quantity}\")"