diff --git a/lab-python-data-structures.ipynb b/lab-python-data-structures.ipynb
index 8ba652c..1c64a7e 100644
--- a/lab-python-data-structures.ipynb
+++ b/lab-python-data-structures.ipynb
@@ -57,11 +57,66 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 38,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "La nota del estudiante 1 es: 5.0\n",
+      "La nota del estudiante 2 es: 3.2\n",
+      "La nota del estudiante 3 es: 1.0\n",
+      "La nota del estudiante 4 es: 5.0\n",
+      "La nota del estudiante 5 es: 6.0\n",
+      "[5.0, 3.2, 1.0, 5.0, 6.0]\n",
+      "la suma total es: 20.2\n",
+      "El promedio de las notas es: 4.04\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "suma_total=0\n",
+    "notitas=[]\n",
+    "\n",
+    "for i in range(5):\n",
+    "\n",
+    "    notas= float(input(f\"Ingrese la nota del estudiante {i+1} : \"))\n",
+    "    notitas.append(notas)\n",
+    "    print(f\"La nota del estudiante {i+1} es:\", notas)\n",
+    "    suma_total += notas\n",
+    "print(notitas)\n",
+    "print(\"la suma total es:\", suma_total)\n",
+    "print(\"El promedio de las notas es:\", suma_total/5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Las notas de los alumnos 1, 3 y 5 de forma ascendente son: [1.0, 5.0, 6.0]\n",
+      "El numero de notas seleccionadas es: 3\n",
+      "El numero de veces que aparece la nota '5.0' es: 1\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here"
+    "seleccion=(notitas[0],notitas[2],notitas[4])\n",
+    "x=sorted(seleccion)\n",
+    "y=len(seleccion)\n",
+    "cuenta=seleccion.count(5.0)\n",
+    "\n",
+    "\n",
+    "\n",
+    "print(\"Las notas de los alumnos 1, 3 y 5 de forma ascendente son:\", x)\n",
+    "print(\"El numero de notas seleccionadas es:\", y)\n",
+    "print(\"El numero de veces que aparece la nota '5.0' es:\", cuenta)"
    ]
   },
   {
@@ -95,11 +150,55 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 47,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "las primera fruta es: manzana\n",
+      "la segunda fruta es: banana\n",
+      "la tercera fruta es: cereza\n",
+      "la cuarta fruta es: naranja\n",
+      "la ultima fruta es: kiwi\n",
+      "La tupla modificada la segunda fruta es: ('manzana', 'mango', 'cereza', 'naranja', 'kiwi')\n",
+      "el inventario con las nuevas frutas es: ('manzana', 'mango', 'cereza', 'naranja', 'kiwi', 'pera', 'uva')\n",
+      "La primera parte de la tupla es: ('manzana', 'mango', 'cereza')\n",
+      "La segunda parte de la tupla es: ('kiwi', 'pera', 'uva')\n",
+      "El numero de elementos en la tupla unida es: 11\n",
+      "La tupla unida es: ('manzana', 'mango', 'cereza', 'kiwi', 'pera', 'uva', 'manzana', 'mango', 'cereza', 'naranja', 'kiwi')\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here"
+    "frutas=(\"manzana\",\"banana\",\"cereza\",\"naranja\",\"kiwi\")\n",
+    "\n",
+    "print(\"las primera fruta es:\", frutas[0])\n",
+    "print(\"la segunda fruta es:\", frutas[1])\n",
+    "print(\"la tercera fruta es:\", frutas[2])\n",
+    "print(\"la cuarta fruta es:\", frutas[3])\n",
+    "print(\"la ultima fruta es:\", frutas[-1])\n",
+    "\n",
+    "lista_frutas=list(frutas)\n",
+    "lista_frutas[1]=\"mango\"\n",
+    "frutas=tuple(lista_frutas)\n",
+    "print(\"La tupla modificada la segunda fruta es:\", frutas)\n",
+    "\n",
+    "nuevas=(\"pera\",\"uva\")\n",
+    "inventario=frutas + nuevas\n",
+    "print(\"el inventario con las nuevas frutas es:\", inventario)\n",
+    "\n",
+    "parte1=inventario[:3]\n",
+    "parte2=inventario[-3:]\n",
+    "print(\"La primera parte de la tupla es:\", parte1)\n",
+    "print(\"La segunda parte de la tupla es:\", parte2)   \n",
+    "\n",
+    "union=parte1 + parte2 + frutas\n",
+    "cuenta=len(union)\n",
+    "print(\"El numero de elementos en la tupla unida es:\", cuenta)\n",
+    "print(\"La tupla unida es:\", union)\n",
+    "\n"
    ]
   },
   {
@@ -163,11 +262,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 57,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Palabras del primer poema: 51\n",
+      "Palabras del segundo poema: 59\n",
+      "Palabras unicas del primer poema: {'that', 'end', 'ice', 'twice', 'to', 'will', 'those', 'it', 'i', 'hate', 'tasted', 'of', 'also', 'think', 'the', 'is', 'and', 'say', 'perish', 'would', 'some', 'desire', 'who', 'suffice', 'had', 'destruction', 'from', 'favor', 'world', 'know', 'but', 'hold', 'great', 'in', 'if', 'for', 'enough', 'fire', 'with', 'ive', 'what'}\n",
+      "Palabras unicas del segundo poema: {'', \"i've\", 'that', 'end', 'made', 'we', 'away', 'to', 'today', 'those', 'it', 'i', 'what', 'of', 'as', 'think', 'quest', 'is', 'and', 'side', 'say', 'love', 'some', 'who', 'had', \"it's\", 'dream', 'from', 'a', 'but', 'know', 'though', 'life', 'are', 'deem', 'if', 'enough', 'with', 'still', 'fades', 'test', 'see', 'seen'}\n",
+      "Palabras comunes en ambos poemas: {'that', 'end', 'to', 'it', 'those', 'i', 'what', 'of', 'think', 'is', 'and', 'say', 'some', 'who', 'had', 'from', 'know', 'if', 'enough', 'with', 'but'}\n",
+      "Palabras unicas del primer poema: {'ice', 'twice', 'will', 'hate', 'tasted', 'also', 'the', 'perish', 'would', 'desire', 'suffice', 'destruction', 'favor', 'world', 'hold', 'great', 'in', 'for', 'fire', 'ive'}\n",
+      "Palabras unicas del segundo poema: {'', \"i've\", 'made', 'we', 'away', 'today', 'as', 'quest', 'side', 'love', \"it's\", 'dream', 'a', 'though', 'are', 'life', 'deem', 'still', 'fades', 'test', 'see', 'seen'}\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here"
+    "p1_limpio=poem.replace(\",\",\"\").replace(\".\",\"\").replace(\"’\",\"\").replace(\"\\n\",\" \").lower()\n",
+    "p2_limpio=new_poem.replace(\",\",\"\").replace(\".\",\"\").replace(\"’\",\"\").replace(\"\\n\",\" \").lower()\n",
+    "\n",
+    "palabras1=p1_limpio.split(\" \")\n",
+    "palabras2=p2_limpio.split(\" \")\n",
+    "print(\"Palabras del primer poema:\", len(palabras1))\n",
+    "print(\"Palabras del segundo poema:\", len(palabras2))\n",
+    "\n",
+    "poema1=set(palabras1)\n",
+    "poema2=set(palabras2)\n",
+    "\n",
+    "print(\"Palabras unicas del primer poema:\", poema1)\n",
+    "print(\"Palabras unicas del segundo poema:\", poema2)\n",
+    "comunes=poema1.intersection(poema2)\n",
+    "print(\"Palabras comunes en ambos poemas:\", comunes)\n",
+    "unicas_poema1=poema1 - poema2\n",
+    "print(\"Palabras unicas del primer poema:\", unicas_poema1)\n",
+    "unicas_poema2=poema2 - poema1\n",
+    "print(\"Palabras unicas del segundo poema:\", unicas_poema2)\n"
    ]
   },
   {
@@ -193,7 +324,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 58,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -202,11 +333,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 59,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Calificaciones actualizadas:\n",
+      "Filosofía (Bob): 100\n",
+      "Diccionario completo:\n",
+      "{'Alice': {'Physics': 75, 'Math': 85, 'Chemistry': 60, 'Philosophy': 90}, 'Bob': {'Physics': 75, 'Math': 85, 'Chemistry': 60, 'Philosophy': 100}}\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here"
+    "grades['Bob']['Philosophy'] = 100\n",
+    "\n",
+    "print(\"Calificaciones actualizadas:\")\n",
+    "print(f\"Filosofía (Bob): {grades['Bob']['Philosophy']}\")\n",
+    "print(\"Diccionario completo:\")\n",
+    "print(grades)"
    ]
   },
   {
@@ -239,14 +386,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 60,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Diccionario creado a partir de listas:\n",
+      "{'Physics': 75, 'Math': 85, 'Chemistry': 60, 'Philosophy': 90}\n"
+     ]
+    }
+   ],
    "source": [
     "keys = ['Physics', 'Math', 'Chemistry', 'Philosophy']\n",
     "values = [75, 85, 60,90]\n",
     "\n",
-    "# Your code here"
+    "dictionary = dict(zip(keys, values))\n",
+    "print(\"Diccionario creado a partir de listas:\")\n",
+    "print(dictionary)"
    ]
   },
   {
@@ -275,17 +433,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 61,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "La asignatura con la calificación más baja es: Chemistry con una calificación de: 60\n"
+     ]
+    }
+   ],
    "source": [
-    "# Your code here"
+    "minimo=min(dictionary, key=dictionary.get)\n",
+    "nota=dictionary[minimo]\n",
+    "\n",
+    "print(\"La asignatura con la calificación más baja es:\", minimo, \"con una calificación de:\", nota)"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -299,7 +468,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.13.1"
   }
  },
  "nbformat": 4,