translations for 26-34

.gitignore

@@ -0,0 +1,3 @@
+
+.ipynb_checkpoints/*
+.DS_Store

.python-version

@@ -0,0 +1 @@
+3.13

.vscode/settings.json

@@ -0,0 +1,11 @@
+{
+    "go.goroot": "/home/nick/.local/share/mise/installs/go/1.24.4",
+    "debug.javascript.defaultRuntimeExecutable": {
+        "pwa-node": "/home/nick/.local/share/mise/shims/node"
+    },
+    "go.alternateTools": {
+        "go": "/home/nick/.local/share/mise/shims/go",
+        "dlv": "/home/nick/.local/share/mise/shims/dlv",
+        "gopls": "/home/nick/.local/share/mise/shims/gopls"
+    }
+}

01_string_input_print.ipynb

@@ -1,141 +1,141 @@
 {
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": []
-   },
-   "source": [
-    "# 1. Texto, preguntas y arte\n",
-    "\n",
-    "## Cadenas de caracteres, `input()` y `print()`\n",
-    "\n",
-    "[Learn Python with Jupyter](https://learnpythonwithjupyter.com/) (Aprende Python con Jupyter): [Serena Bonaretti](https://sbonaretti.github.io/)   \n",
-    "Tradución al español mexicano (es-MX): [Rodrigo Ernesto Álvarez Aguilera](https://incognia.github.io/)   \n",
-    "Licencia de contenido: [CC BY-NC-SA](https://creativecommons.org/licenses/by-nc-sa/2.0/). Licencia de código: [GNU-GPL v3](https://www.gnu.org/licenses/gpl-3.0.en.html)  \n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "---\n",
-    "## Cadenas de caracteres (strings)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "- Observa las siguientes cadenas y ejecuta las celdas:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"esto es una cadena de texto\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "'todo lo que escribas dentro de las comillas es una cadena de texto'"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "---\n",
-    "## Haciendo preguntas: input()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "- Observa los siguientes ejemplos y ejecuta las celdas:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "input(\"¿Cómo te llamas?\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "input(\"¿De dónde eres?\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "---\n",
-    "## Arte de texto ASCII: print()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    " \n",
-    "- Observa el siguiente ejemplo y ejecuta las celdas:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print (\" /\\_/\\   \")\n",
-    "print (\" >^.^<   \")\n",
-    "print (\"  / \\    \")\n",
-    "print (\" (___)___\")"
-   ]
-  }
- ],
- "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": "3.10.12"
-  },
-  "widgets": {
-   "application/vnd.jupyter.widget-state+json": {
-    "state": {},
-    "version_major": 2,
-    "version_minor": 0
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
+    "cells": [
+        {
+            "cell_type": "markdown",
+            "metadata": {
+                "tags": []
+            },
+            "source": [
+                "# 1. Texto, preguntas y arte\n",
+                "\n",
+                "## Cadenas de caracteres, `input()` y `print()`\n",
+                "\n",
+                "[Learn Python with Jupyter](https://learnpythonwithjupyter.com/) (Aprende Python con Jupyter): [Serena Bonaretti](https://sbonaretti.github.io/)   \n",
+                "Tradución al español mexicano (es-MX): [Rodrigo Ernesto Álvarez Aguilera](https://incognia.github.io/)   \n",
+                "Licencia de contenido: [CC BY-NC-SA](https://creativecommons.org/licenses/by-nc-sa/2.0/). Licencia de código: [GNU-GPL v3](https://www.gnu.org/licenses/gpl-3.0.en.html)  \n"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "---\n",
+                "## 1. Cadenas de caracteres (strings)"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "- Observa las siguientes cadenas y ejecuta las celdas:"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "\"esto es una cadena de texto\""
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "'todo lo que escribas dentro de las comillas es una cadena de texto'"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "---\n",
+                "## 2. Haciendo preguntas: input()"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "- Observa los siguientes ejemplos y ejecuta las celdas:"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "input(\"¿Cómo te llamas?\")"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "input(\"¿De dónde eres?\")"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "---\n",
+                "## 3. Arte de texto ASCII: print()"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                " \n",
+                "- Observa el siguiente ejemplo y ejecuta la celda:"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "print (\" /\\_/\\   \")\n",
+                "print (\" >^.^<   \")\n",
+                "print (\"  / \\    \")\n",
+                "print (\" (___)___\")"
+            ]
+        }
+    ],
+    "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": "3.13.2"
+        },
+        "widgets": {
+            "application/vnd.jupyter.widget-state+json": {
+                "state": {},
+                "version_major": 2,
+                "version_minor": 0
+            }
+        }
+    },
+    "nbformat": 4,
+    "nbformat_minor": 4
+}