{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[{"file_id":"1cW_3McCwTe6Hnm-ZFO4RgLqwnMBKeXQd","timestamp":1649103608968}],"collapsed_sections":["GJBs_flRovLc","nXfEKydgE_zF","zoZlHnE9FfK_","eZ5MdpScGSWa","tX7Zvue2UB1b","WAYsFtc-UB1z","KUAmfq6pUB12","U2ne8TJuUB2N","x4AefoHYUB2f","PDZV7BWIUB2h","gwNkhidcUB29","IcCOSky8UB2Y","OVCLtPfGUB2a","vjsi1r7dUB3S","p0yFkcijUB3Q","mUlIjZUHUB3U","cDvhM0cVUB3n","ccpE2G3VUB4H"],"toc_visible":true},"kernelspec":{"display_name":"Python 3","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":"3.6.10"},"toc":{"toc_cell":false,"toc_number_sections":true,"toc_threshold":6,"toc_window_display":false},"gpuClass":"standard","accelerator":"GPU"},"cells":[{"cell_type":"markdown","metadata":{"id":"Nma_JWh-W-IF"},"source":["

Te damos la bienvenida a Colab

\n","\n","Si ya conoces Colab, mira este video para aprender sobre las tablas interactivas, la vista histórica de código ejecutado y la paleta de comandos.\n","\n","
\n"," \n"," Miniatura de un video que muestra 3 funciones notables de Colab de Google\n"," \n","
"]},{"cell_type":"markdown","metadata":{"id":"5fCEDCU_qrC0"},"source":["\n","\n","\n","

¿Qué es Colab?

\n","\n","Colab, o \"Colaboratory\", te permite escribir y ejecutar código de Python en tu navegador, con\n","- Una configuración lista para que empieces a programar\n","- Acceso gratuito a GPU\n","- Facilidad para compartir\n","\n","Seas estudiante, científico de datos o investigador de IA, Colab facilita tu trabajo. Mira este video introductorio sobre Colab para obtener más información, o bien comienza a usarlo más abajo."]},{"cell_type":"markdown","metadata":{"id":"GJBs_flRovLc"},"source":["## Introducción\n","\n","El documento que estás leyendo no es una página web estática, sino un entorno interactivo denominado notebook de Colab, que permite escribir y ejecutar código.\n","\n","Por ejemplo, esta es una celda de código con una secuencia de comandos Python corta que calcula un valor, lo almacena en una variable y devuelve el resultado:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"gJr_9dXGpJ05","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676981667503,"user_tz":300,"elapsed":10,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"15104242-53d8-4b0e-a9f9-c72a3da18aa6"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["86400"]},"metadata":{},"execution_count":1}],"source":["seconds_in_a_day = 24 * 60 * 60\n","seconds_in_a_day"]},{"cell_type":"code","source":["type(seconds_in_a_day)"],"metadata":{"id":"85UUJXz-eieY","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676981673631,"user_tz":300,"elapsed":190,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"e10743ff-61eb-47b6-ad3d-8f0abb1d5ed5"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["int"]},"metadata":{},"execution_count":2}]},{"cell_type":"markdown","metadata":{"id":"2fhs6GZ4qFMx"},"source":["A fin de ejecutar el código en la celda anterior, haz clic en él para seleccionarlo y luego presiona el botón de reproducción ubicado a la izquierda del código o usa la combinación de teclas \"Command/Ctrl + Intro\". Para editar el código, solo haz clic en la celda y comienza a editar.\n","\n","Las variables que defines en una celda pueden usarse en otras:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"-gE-Ez1qtyIA","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676981692376,"user_tz":300,"elapsed":4,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"450c74ac-2e42-4fa7-9a4a-739a285acf5f"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["604800"]},"metadata":{},"execution_count":3}],"source":["seconds_in_a_week = 7 * seconds_in_a_day\n","seconds_in_a_week"]},{"cell_type":"markdown","metadata":{"id":"lSrWNr3MuFUS"},"source":["Los notebooks de Colab te permiten combinar código ejecutable y texto enriquecido en un único documento, junto con imágenes, HTML, LaTeX y mucho más. Los notebooks que crees en Colab se almacenan en tu cuenta de Google Drive. Puedes compartir fácilmente los notebooks de Colab con amigos o compañeros de trabajo para que realicen comentarios o los editen. Si quieres obtener más información, consulta la Descripción general de Colab. Para crear un nuevo notebook de Colab, ve al menú Archivo que aparece más arriba o usa este vínculo: crear un nuevo notebook de Colab.\n","\n","Los notebooks de Colab son notebooks de Jupyter que aloja Colab. Para obtener más información sobre el proyecto Jupyter, visita jupyter.org."]},{"cell_type":"markdown","source":["#Como saber la versión de Python"],"metadata":{"id":"nXfEKydgE_zF"}},{"cell_type":"code","source":["#Versión de python\n","!python --version"],"metadata":{"id":"Ih6TyuuSxDeQ","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676981706845,"user_tz":300,"elapsed":750,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"31672d4c-796a-4c8e-ca85-9abd6dd845e9"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Python 3.8.10\n"]}]},{"cell_type":"markdown","source":["# Como saber la versión de Linux"],"metadata":{"id":"zoZlHnE9FfK_"}},{"cell_type":"code","source":["# Versión de Ubuntu\n","!lsb_release -a"],"metadata":{"id":"wVb8Zts91h60","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676981737664,"user_tz":300,"elapsed":156,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"61546525-da68-4f4d-8b0d-4b92f4b91e9b"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["No LSB modules are available.\n","Distributor ID:\tUbuntu\n","Description:\tUbuntu 20.04.5 LTS\n","Release:\t20.04\n","Codename:\tfocal\n"]}]},{"cell_type":"markdown","source":["# Tutorial Python\n","https://www.w3schools.com/python/default.asp\n"],"metadata":{"id":"ud-8kg-GlpKh"}},{"cell_type":"markdown","source":["# Conexión con Google drive"],"metadata":{"id":"eZ5MdpScGSWa"}},{"cell_type":"code","metadata":{"id":"ARxid2rvoDcY","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676981858517,"user_tz":300,"elapsed":18307,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"62cca87d-7f3e-4805-da59-aa826f669990"},"source":["from google.colab import drive\n","drive.mount('/content/drive')"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}]},{"cell_type":"markdown","metadata":{"id":"tX7Zvue2UB1b"},"source":["# Asignación automatica de tipos de variables\n"]},{"cell_type":"markdown","metadata":{"id":"de4aF0csUB1c"},"source":["En Python no es necesario declarar explícitamente el tipo de las variables. El intérprete trata de inferir el tipo de las variables según se usan. Igualmente, las operaciones tienen semántica distinta para distintos tipos de datos. Fíjate en el ejemplo siguiente."]},{"cell_type":"code","metadata":{"id":"YniLArLxUB1c","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676981860966,"user_tz":300,"elapsed":740,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"92779183-d1d3-474d-8041-30c6ea8dc2f8"},"source":["import numpy as np\n","a = 10\n","b = 3\n","c = 3.\n","d = \"holaWorld\"\n","e = True\n","f = 1e3\n","g = [1,2,3] # La lista es mutable\n","h = (1,2,3) # La tupla es inmutable\n","i = 5j\n","j = 1+2j\n","k = np.int16(300)\n","l = np.int8(6)\n","\n","print (\"a=\",type(a))\n","print (\"b=\",type(b))\n","print (\"c=\",type(c))\n","print (\"d=\",type(d))\n","print (\"e=\",type(e))\n","print (\"f=\",type(f))\n","print (\"g=\",type(g))\n","print (\"h=\",type(h))\n","print (\"i=\",type(i))\n","print (\"j=\",type(j))\n","print (\"k=\",type(k))\n","print (\"l=\",type(l))\n"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["a= \n","b= \n","c= \n","d= \n","e= \n","f= \n","g= \n","h= \n","i= \n","j= \n","k= \n","l= \n"]}]},{"cell_type":"markdown","metadata":{"id":"WAYsFtc-UB1z"},"source":["# Casteo de variables"]},{"cell_type":"code","metadata":{"id":"PLXD-OKiUB10","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676981878081,"user_tz":300,"elapsed":684,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"6d17b066-38fe-4e3a-bc06-931037379461"},"source":["x='2'\n","y='3'\n","z=x+y\n","print('z=',z)\n","\n","x1=int(x)\n","y1=int(y)\n","z1=x1+y1\n","print('z1=',z1)"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["z= 23\n","z1= 5\n"]}]},{"cell_type":"markdown","metadata":{"id":"KUAmfq6pUB12"},"source":["# Operaciones Aritméticas"]},{"cell_type":"code","metadata":{"id":"lfoacHzSUB13","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676981906597,"user_tz":300,"elapsed":141,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"ed44da6d-36ed-4626-8b49-8b8cf7b04b89"},"source":["print(\"Suma = \", 4+5)\n","print(\"Resta = \", 4-5)\n","print(\"Multiplicación = \", 4*5)\n","print(\"División = \", 4/5)\n","print(\"División entera = \", 10//3)\n","print(\"Residuo = \", 10%3)\n","print(\"Potencia = \", 2**3)\n","print(\"Raiz = \", 2**0.5)"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Suma = 9\n","Resta = -1\n","Multiplicación = 20\n","División = 0.8\n","División entera = 3\n","Residuo = 1\n","Potencia = 8\n","Raiz = 1.4142135623730951\n"]}]},{"cell_type":"markdown","metadata":{"id":"U2ne8TJuUB2N"},"source":["# Operaciones con cadena de texto"]},{"cell_type":"code","metadata":{"id":"cSQP-PvnUB2O","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1674699803192,"user_tz":300,"elapsed":9,"user":{"displayName":"Harold Brayan Arteaga Arteaga","userId":"02881993551096447470"}},"outputId":"a686a559-4ebf-4e1a-97e1-370a83ca83ee"},"source":["#Suma o concatenación\n","x=\"Un divertido\"+\"programa\"+\"de\"+\"radio\"\n","print(x)\n","#Multiplicación de una cadena con un número\n","y=3*\"programas\"\n","print(y)\n","#Obtener longitud de una cadena\n","print('longitud de la cadena:',len(y))"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Un divertidoprogramaderadio\n","programasprogramasprogramas\n","longitud de la cadena: 27\n"]}]},{"cell_type":"code","metadata":{"id":"n0a_21HaUB2Q","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676664487801,"user_tz":300,"elapsed":8,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"51af8b84-0b00-4876-9792-e972e8231303"},"source":["#Acceder a una posición de la cadena\n","cadena = \"programA\"\n","print('acceder a una posicion determinada:',cadena[0])\n","print('acceder a la última posición:',cadena[-1])\n","\n","# Comillas simples\n","cadenaa = 'Texto entre comillas simples'\n","print (cadenaa)\n","print (type(cadenaa))\n","\n","# Comillas dobles\n","cadenab = \"Texto entre comillas dobles\"\n","print (cadenab)\n","print (type(cadenab))"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["acceder a una posicion determinada: p\n","acceder a la última posición: A\n","Texto entre comillas simples\n","\n","Texto entre comillas dobles\n","\n"]}]},{"cell_type":"code","metadata":{"id":"QWIyRgxbUB2S"},"source":["cad='reinel'"],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"dHFMjDAYUB2V","colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"status":"ok","timestamp":1674857850200,"user_tz":300,"elapsed":419,"user":{"displayName":"Reinel Tabares Soto","userId":"11849440450678359784"}},"outputId":"bdffea48-413e-4f11-da60-2941992025e8"},"source":["cad[2:5]"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["'ine'"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":48}]},{"cell_type":"code","metadata":{"id":"accup8gjUB2W","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676664538838,"user_tz":300,"elapsed":3,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"4628d904-300f-4324-cfe6-b5f137a925c7"},"source":["cadenaesc = 'Texto entre \\n\\n\\n \\t\\t\\tcomillas simples'\n","print (cadenaesc)\n","print (type(cadenaesc))"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Texto entre \n","\n","\n"," \t\t\tcomillas simples\n","\n"]}]},{"cell_type":"markdown","metadata":{"id":"x4AefoHYUB2f"},"source":["# Tuplas (Datos inmutables)"]},{"cell_type":"markdown","metadata":{"id":"hNzq9BfoUB2f"},"source":["Las tuplas son más rápidas que las listas. Si define un conjunto **constante** de valores y todo lo que va a hacer es iterar sobre ellos, use una tupla en lugar de una lista.\n","\n","Una tupla es una secuencia de items ordenada e inmutable.\n","\n","Los items de una tupla pueden ser objetos de cualquier tipo.\n","\n","Para especificar una tupla, lo hacemos con los elementos separados por comas dentro de **paréntesis**.\n","\n","Una tupla con únicamente dos elementos es denominada par.\n","\n","Para crear una tupla con un único elemento (singleton), se añade una coma al final de la expresión.\n","\n","Para definir una tupla vacía, se emplean unos paréntesis vacíos."]},{"cell_type":"code","metadata":{"id":"NhlVekEXUB2g","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676664793631,"user_tz":300,"elapsed":4,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"2d2defbc-e65a-4b94-c7bc-d3cf95086c2f"},"source":["tupla = ('cadena de texto', 15, 2.8, 'otro dato', 25,25)\n","print(tupla)\n","print(type(tupla))\n","print(tupla[1:4])\n","print('cuantas veces hay un elemento=',tupla.count(25))\n","print('dice en que posicion esta el elemento=',tupla.index(15))\n","#tupla[0]=2# dado que es una TUPLA no se puede agregar ni borrar información."],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["('cadena de texto', 15, 2.8, 'otro dato', 25, 25)\n","\n","(15, 2.8, 'otro dato')\n","cuantas veces hay un elemento= 2\n","dice en que posicion esta el elemento= 1\n"]}]},{"cell_type":"code","source":["tupla, type(tupla), tupla[1:-1],tupla.count(25),tupla.index(15)"],"metadata":{"id":"BW-EA51oufx8","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676664752006,"user_tz":300,"elapsed":2,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"c0b440da-a13c-49d6-88fd-1d659c983ee4"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(('cadena de texto', 15, 2.8, 'otro dato', 25, 25),\n"," tuple,\n"," (15, 2.8, 'otro dato', 25),\n"," 2,\n"," 1)"]},"metadata":{},"execution_count":22}]},{"cell_type":"code","source":["#tupla[0]=2"],"metadata":{"id":"itI6A3DLu7p5"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"PDZV7BWIUB2h"},"source":["# Listas (Datos no inmutables)"]},{"cell_type":"markdown","metadata":{"id":"t-U8t9EPUB2i"},"source":["Una lista es una secuencia ordenada de elementos **mutable**.\n","\n","Los items de una lista pueden ser objetos de distintos tipos.\n","\n","Para especificar una lista se indican los elementos separados por comas en el interior de **CORCHETES**.\n","\n","Para denotar una lista vacía se emplean dos corchetes vacíos."]},{"cell_type":"code","metadata":{"id":"YMbuMBM6UB2i","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676664864589,"user_tz":300,"elapsed":8,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"d01b6180-61b2-41a9-ab8f-9916b462edd4"},"source":["a = [1,2,3,\"hola\", [10, \"nunca\", 90], -32]\n","print (\"Toda la lista= \",a)\n","print(type(a))\n","print (\"Longitud de la lista= \", len(a))\n","print(\"Acceder a un rango de posiciones=\",a[0:4])\n","print(\"Acceder a una posición específica= \",a[4])\n","print(\"Acceder a la última posición= \",a[-1])"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Toda la lista= [1, 2, 3, 'hola', [10, 'nunca', 90], -32]\n","\n","Longitud de la lista= 6\n","Acceder a un rango de posiciones= [1, 2, 3, 'hola']\n","Acceder a una posición específica= [10, 'nunca', 90]\n","Acceder a la última posición= -32\n"]}]},{"cell_type":"code","metadata":{"id":"pycJHgpfUB2k","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676664935117,"user_tz":300,"elapsed":2,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"d1967237-cc0f-4777-fb47-2998e122daf7"},"source":["a[1:-1]"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["[2, 3, 'hola', [10, 'nunca', 90]]"]},"metadata":{},"execution_count":27}]},{"cell_type":"code","metadata":{"id":"voXIHPIVUB2l","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676665236825,"user_tz":300,"elapsed":5,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"55c57704-c924-43de-f618-b19051f7c1f5"},"source":["print(\"Lista= \",a)\n","a.append(\"Nuevo último\")\n","print(\"Lista con nuevo último= \",a)\n","a[1]='nuevo1'\n","print(\"Lista con nuevo elemento en las posición 1= \",a)\n","a.insert(2,'nuevo2')\n","print(\"Lista con nuevo elemento en las posición 2= \",a)"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Lista= [1, 2, 3, 'hola', [10, 'nunca', 90], -32]\n","Lista con nuevo último= [1, 2, 3, 'hola', [10, 'nunca', 90], -32, 'Nuevo último']\n","Lista con nuevo elemento en las posición 1= [1, 'nuevo1', 3, 'hola', [10, 'nunca', 90], -32, 'Nuevo último']\n","Lista con nuevo elemento en las posición 2= [1, 'nuevo1', 'nuevo2', 3, 'hola', [10, 'nunca', 90], -32, 'Nuevo último']\n"]}]},{"cell_type":"code","metadata":{"id":"doRMsUkl6H2g","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676665239293,"user_tz":300,"elapsed":2,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"b08b8d00-5808-4c14-8a90-3e7249e79b96"},"source":["a,type(a),len(a)"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["([1, 'nuevo1', 'nuevo2', 3, 'hola', [10, 'nunca', 90], -32, 'Nuevo último'],\n"," list,\n"," 8)"]},"metadata":{},"execution_count":30}]},{"cell_type":"code","metadata":{"id":"WuEvXSZOUB2v","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676665265996,"user_tz":300,"elapsed":962,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"5ea030a3-df53-496c-9e84-b760c326a622"},"source":["for i in range(len(a)):\n"," print (i, \"-->\", a[i])"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["0 --> 1\n","1 --> nuevo1\n","2 --> nuevo2\n","3 --> 3\n","4 --> hola\n","5 --> [10, 'nunca', 90]\n","6 --> -32\n","7 --> Nuevo último\n"]}]},{"cell_type":"code","metadata":{"id":"prtcGw3-UB2x","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676665277399,"user_tz":300,"elapsed":3,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"e676b661-118d-4663-c758-126a0a0177ae"},"source":["for i in a:\n"," print (i)"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["1\n","nuevo1\n","nuevo2\n","3\n","hola\n","[10, 'nunca', 90]\n","-32\n","Nuevo último\n"]}]},{"cell_type":"code","metadata":{"id":"6U5NQSYEUB2z","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676665305006,"user_tz":300,"elapsed":489,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"fa759195-e5fa-4b4c-c664-4adb5f4e66f7"},"source":["print(a)\n","print(a[2:])\n","print(a[-3:])\n","print(a[4])"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["[1, 'nuevo1', 'nuevo2', 3, 'hola', [10, 'nunca', 90], -32, 'Nuevo último']\n","['nuevo2', 3, 'hola', [10, 'nunca', 90], -32, 'Nuevo último']\n","[[10, 'nunca', 90], -32, 'Nuevo último']\n","hola\n"]}]},{"cell_type":"code","metadata":{"id":"BNiiL6bIUB28","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676665439071,"user_tz":300,"elapsed":5,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"138110c8-8655-4bf5-de81-9cf8a2fbb731"},"source":["a = [1,2,3,\"hola\", [10, \"nunca\", 90], -32]\n","print (a[4])\n","print (a[4][0])\n","print (a[4][1])\n","print (a[4][1][2:])"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["[10, 'nunca', 90]\n","10\n","nunca\n","nca\n"]}]},{"cell_type":"markdown","metadata":{"id":"gwNkhidcUB29"},"source":["# Diccionarios"]},{"cell_type":"markdown","metadata":{"id":"zbvw5_YsUB2-"},"source":["Los diccionarios de Python son una lista de consulta de términos de los cuales se proporcionan valores asociados.\n","En Python, un diccionario es una colección **no-ordenada** de valores que son accedidos a traves de una clave. Es decir, en lugar de acceder a la información mediante el índice numérico, como es el caso de las listas y tuplas, es posible acceder a los valores a través de sus claves, que pueden ser de diversos tipo.\n","Las claves son únicas dentro de un diccionario, es decir que no puede haber un diccionario que tenga dos veces la misma clave, si se asigna un valor a una clave ya existente, se reemplaza el valor anterior.\n","No hay una forma directa de acceder a una clave a través de su valor, y nada impide que un mismo valor se encuentre asignado a distintas claves.\n","La informacion almacenada en los diccionarios, no tiene un orden particular. Ni por clave ni por valor, ni tampoco por el orden en que han sido agregados al diccionario.\n","Cualquier variable de tipo inmutable, puede ser clave de un diccionario: cadenas, enteros, tuplas (con valores inmutables en sus miembros), etc. No hay restricciones para los valores que el diccionario puede contener, cualquier tipo puede ser el valor: listas, cadenas, tuplas, otros diccionarios, objetos, etc."]},{"cell_type":"code","metadata":{"id":"wP1XQw5aUB2-","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676666146451,"user_tz":300,"elapsed":6,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"0080ed10-d285-4514-8f5d-01cf76480360"},"source":["# Definir una variable diccionario\n","futbolistas = dict()\n","\n","futbolistas = {\n"," 1: \"Casillas\", 6: \"Iniesta\",3: \"Piqué\",\n"," 5: \"Puyol\",\n"," 7: \"Villa\", 8: \"Xavi Hernández\",\n"," 9: \"Torres\", 11: \"Capdevila\",\n"," 14: \"Xavi Alonso\", 15: \"Ramos\",\n"," 16: \"Busquets\"\n","}\n","\n","# Recorrer el diccionario, imprimiendo clave - valor\n","print (\"Vemos que los elementos no van \\\"ordenados\\\":\")\n","for k, v in futbolistas.items():\n"," print (\"{} --> {}\".format(k,v))"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Vemos que los elementos no van \"ordenados\":\n","1 --> Casillas\n","6 --> Iniesta\n","3 --> Piqué\n","5 --> Puyol\n","7 --> Villa\n","8 --> Xavi Hernández\n","9 --> Torres\n","11 --> Capdevila\n","14 --> Xavi Alonso\n","15 --> Ramos\n","16 --> Busquets\n"]}]},{"cell_type":"code","source":["futbolistas.items(),futbolistas.keys(),futbolistas.values()"],"metadata":{"id":"S_e9IScMtqwS","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676666147875,"user_tz":300,"elapsed":3,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"5d300f6d-69ea-4cef-ccc1-d7a76bbbf6d9"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(dict_items([(1, 'Casillas'), (6, 'Iniesta'), (3, 'Piqué'), (5, 'Puyol'), (7, 'Villa'), (8, 'Xavi Hernández'), (9, 'Torres'), (11, 'Capdevila'), (14, 'Xavi Alonso'), (15, 'Ramos'), (16, 'Busquets')]),\n"," dict_keys([1, 6, 3, 5, 7, 8, 9, 11, 14, 15, 16]),\n"," dict_values(['Casillas', 'Iniesta', 'Piqué', 'Puyol', 'Villa', 'Xavi Hernández', 'Torres', 'Capdevila', 'Xavi Alonso', 'Ramos', 'Busquets']))"]},"metadata":{},"execution_count":44}]},{"cell_type":"code","source":["# Nº de elementos que tiene un diccionario\n","numElemen = len(futbolistas)\n","print (\"\\nEl número de futbolistas es de {}\".format(numElemen))\n","\n","# Imprimir las claves que tiene un diccionario\n","keys = futbolistas.keys();\n","print (\"\\nLas claves de nuestro diccionario son : {}\".format(keys))\n","\n","# Imprimir los valores que tiene un diccionario\n","values = futbolistas.values();\n","print (\"\\nLos valores de nuestro diccionario son : {}\".format(values))\n"],"metadata":{"id":"UYgdcLAcfqAf","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676666148321,"user_tz":300,"elapsed":3,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"1ceaae5e-507e-4dae-fa58-b0d0c3775260"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","El número de futbolistas es de 11\n","\n","Las claves de nuestro diccionario son : dict_keys([1, 6, 3, 5, 7, 8, 9, 11, 14, 15, 16])\n","\n","Los valores de nuestro diccionario son : dict_values(['Casillas', 'Iniesta', 'Piqué', 'Puyol', 'Villa', 'Xavi Hernández', 'Torres', 'Capdevila', 'Xavi Alonso', 'Ramos', 'Busquets'])\n"]}]},{"cell_type":"code","source":["# Obtener el valor de un elemento dada su clave\n","elem = futbolistas.get(6)\n","print (\"\\nEl futbolista con clave 6 es {}\".format(elem))\n","\n","# Insertamos un elemento en el diccionario\n","## si la clave ya existe, el elemento NO se inserta\n","futbolistas.setdefault(10, 'Cesc')\n","print (\"\\nInsertamos el elemento con clave 10 y valor Cesc\")\n","print (\"Ahora el diccionario queda : {}\".format(futbolistas))\n","\n","# Añadimos, de otro modo, un elemento al diccionario\n","## si la clave ya existe, el valor se cambia por este nuevo\n","futbolistas[22] = 'Navas'\n","print (\"\\nAñadimos un nuevo elemento, ahora el diccionario queda: \")\n","print (futbolistas)\n"],"metadata":{"id":"kv7rvkSIf4XD","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676666149898,"user_tz":300,"elapsed":11,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"148c7790-0464-4c7f-c6ba-47f7d4df07f5"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","El futbolista con clave 6 es Iniesta\n","\n","Insertamos el elemento con clave 10 y valor Cesc\n","Ahora el diccionario queda : {1: 'Casillas', 6: 'Iniesta', 3: 'Piqué', 5: 'Puyol', 7: 'Villa', 8: 'Xavi Hernández', 9: 'Torres', 11: 'Capdevila', 14: 'Xavi Alonso', 15: 'Ramos', 16: 'Busquets', 10: 'Cesc'}\n","\n","Añadimos un nuevo elemento, ahora el diccionario queda: \n","{1: 'Casillas', 6: 'Iniesta', 3: 'Piqué', 5: 'Puyol', 7: 'Villa', 8: 'Xavi Hernández', 9: 'Torres', 11: 'Capdevila', 14: 'Xavi Alonso', 15: 'Ramos', 16: 'Busquets', 10: 'Cesc', 22: 'Navas'}\n"]}]},{"cell_type":"code","source":["# Eliminamos un elemento del diccionario dada su clave\n","futbolistas.pop(22)\n","print (\"\\nEliminamos el elemento con clave 22\")\n","print (\"Ahora el diccionario queda: {}\".format(futbolistas))\n","\n","# Hacemos una copia del diccionario\n","futbolistas_copia = futbolistas.copy()\n","print (\"\\nLa copia del diccionario tiene los valores:\")\n","print (futbolistas_copia)\n","\n","# Borramos los elementos de un diccionario\n","futbolistas_copia.clear()\n","print (\"\\nVaciamos el diccionario nuevo creado, ahora los valores en el: {}\".format(futbolistas_copia))\n"],"metadata":{"id":"__rthEvTf4Zv","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676666149899,"user_tz":300,"elapsed":9,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"5302e05d-ed61-434b-ccce-78f3bf225099"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Eliminamos el elemento con clave 22\n","Ahora el diccionario queda: {1: 'Casillas', 6: 'Iniesta', 3: 'Piqué', 5: 'Puyol', 7: 'Villa', 8: 'Xavi Hernández', 9: 'Torres', 11: 'Capdevila', 14: 'Xavi Alonso', 15: 'Ramos', 16: 'Busquets', 10: 'Cesc'}\n","\n","La copia del diccionario tiene los valores:\n","{1: 'Casillas', 6: 'Iniesta', 3: 'Piqué', 5: 'Puyol', 7: 'Villa', 8: 'Xavi Hernández', 9: 'Torres', 11: 'Capdevila', 14: 'Xavi Alonso', 15: 'Ramos', 16: 'Busquets', 10: 'Cesc'}\n","\n","Vaciamos el diccionario nuevo creado, ahora los valores en el: {}\n"]}]},{"cell_type":"code","source":["# Comprobamos si existe o no una clave en un diccionario\n","if 2 in futbolistas:\n"," print (\"\\nEl futbolista con la clave 2 existe en el diccionario.\")\n","else:\n"," print (\"\\nEl futbolista con la clave 2 NO existe en el diccionario.\")\n","\n","if 8 in futbolistas:\n"," print (\"\\nEl futbolista con la clave 8 existe en el diccionario.\")\n","else:\n"," print (\"\\nEl futbolista con la clave 8 NO existe en el diccionario.\")"],"metadata":{"id":"rKI14LMJfqEU","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676666200077,"user_tz":300,"elapsed":8,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"47ecfdff-e694-43c7-f81a-17b8f2debae2"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","El futbolista con la clave 2 NO existe en el diccionario.\n","\n","El futbolista con la clave 8 existe en el diccionario.\n"]}]},{"cell_type":"code","source":["# Creamos un diccionario a partir de una lista de claves\n","keys = ['nombre', 'apellidos', 'edad']\n","datos_usuario = dict.fromkeys(keys, 'null')\n","print (\"\\nCreamos un diccionario a partir de la lista de claves:\")\n","print (keys)\n","print (\"y con valor 'null'\")\n","print (\"Así el diccionario queda: {}\".format(datos_usuario))\n","\n","# Creación de un diccionario\n","diccionario=dict({1:'rei',2:'pepe',3:'javier'})\n","print(diccionario)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"QTe5uk4wZwBd","executionInfo":{"status":"ok","timestamp":1676666254714,"user_tz":300,"elapsed":430,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"7c12d0a6-5e8e-41b5-c5b9-738d8a29ebb1"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","Creamos un diccionario a partir de la lista de claves:\n","['nombre', 'apellidos', 'edad']\n","y con valor 'null'\n","Así el diccionario queda: {'nombre': 'null', 'apellidos': 'null', 'edad': 'null'}\n","{1: 'rei', 2: 'pepe', 3: 'javier'}\n"]}]},{"cell_type":"code","source":["# Devolvemos los elementos del diccionario en una tupla\n","tupla = futbolistas.items()\n","print (\"\\nEl diccionario convertido en tupla queda así:\")\n","print (tupla)\n","\n","# Unimos dos diccionarios existentes\n","suplentes = {\n"," 4:'Marchena', 12:'Valdes', 13:'Mata',\n"," 17:'Arbeloa', 19:'Llorente', 20:'Javi Martinez',\n"," 21:'Silva', 23:'Reina'\n","}\n","\n","print (\"\\nUnimos el diccionario: \")\n","print (futbolistas)\n","futbolistas.update(suplentes) # Aquí hacemos la unión de los diccionarios\n","print (\"con el diccionario:\")\n","print (suplentes)\n","print (\"siendo el resultado:\")\n","print (futbolistas)"],"metadata":{"id":"PvoXJMx-fqKH","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676666309057,"user_tz":300,"elapsed":7,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"de753278-24ad-41bb-b502-784b9e49d527"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["\n","El diccionario convertido en tupla queda así:\n","dict_items([(1, 'Casillas'), (6, 'Iniesta'), (3, 'Piqué'), (5, 'Puyol'), (7, 'Villa'), (8, 'Xavi Hernández'), (9, 'Torres'), (11, 'Capdevila'), (14, 'Xavi Alonso'), (15, 'Ramos'), (16, 'Busquets'), (10, 'Cesc')])\n","\n","Unimos el diccionario: \n","{1: 'Casillas', 6: 'Iniesta', 3: 'Piqué', 5: 'Puyol', 7: 'Villa', 8: 'Xavi Hernández', 9: 'Torres', 11: 'Capdevila', 14: 'Xavi Alonso', 15: 'Ramos', 16: 'Busquets', 10: 'Cesc'}\n","con el diccionario:\n","{4: 'Marchena', 12: 'Valdes', 13: 'Mata', 17: 'Arbeloa', 19: 'Llorente', 20: 'Javi Martinez', 21: 'Silva', 23: 'Reina'}\n","siendo el resultado:\n","{1: 'Casillas', 6: 'Iniesta', 3: 'Piqué', 5: 'Puyol', 7: 'Villa', 8: 'Xavi Hernández', 9: 'Torres', 11: 'Capdevila', 14: 'Xavi Alonso', 15: 'Ramos', 16: 'Busquets', 10: 'Cesc', 4: 'Marchena', 12: 'Valdes', 13: 'Mata', 17: 'Arbeloa', 19: 'Llorente', 20: 'Javi Martinez', 21: 'Silva', 23: 'Reina'}\n"]}]},{"cell_type":"markdown","metadata":{"id":"IcCOSky8UB2Y"},"source":["# Entrada y salida de datos"]},{"cell_type":"code","metadata":{"id":"Zzv88UnWUB2Y","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676666363322,"user_tz":300,"elapsed":5930,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"6ef894c4-6c7c-412d-80d7-420e528cfd53"},"source":["#Entrada de datos\n","x=input('ingrese el dato 1: ');\n","y=input('ingrese el dato 2: ');\n","print('tipo de datos',type(x),type(y))\n","print('suma de datos sin casteo',x+y)\n","print('suma de datos con casteo',float(x)+float(y))"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["ingrese el dato 1: 4\n","ingrese el dato 2: 5\n","tipo de datos \n","suma de datos sin casteo 45\n","suma de datos con casteo 9.0\n"]}]},{"cell_type":"markdown","metadata":{"id":"OVCLtPfGUB2a"},"source":["# Operadores relacionales"]},{"cell_type":"markdown","metadata":{"id":"OcSuhLioUB2a"},"source":["![image.png](data:image/png;base64,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)"]},{"cell_type":"code","metadata":{"id":"r4xtvnDmUB2b","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1674699846521,"user_tz":300,"elapsed":13,"user":{"displayName":"Harold Brayan Arteaga Arteaga","userId":"02881993551096447470"}},"outputId":"88af73c7-f56b-47e7-c2b6-19abe3ce380c"},"source":["a = 5\n","b = 5\n","a1 = 7\n","b1 = 3\n","c1 = 3\n","\n","cadena1 = 'Hola'\n","cadena2 = 'Adios'\n","\n","\n","\n","# igual\n","c = a == b\n","print (c)\n","\n","cadenas = cadena1 == cadena2\n","print (cadenas)\n","\n","# diferente\n","d = a1 != b\n","print (d)\n","\n","cadena0 = cadena1 != cadena2\n","print (cadena0)\n","\n","# mayor que\n","e = a1 > b1\n","print (e)\n","\n","# menor que\n","f = b1 < a1\n","print (f)\n","\n","# mayor o igual que\n","g = b1 >= c1\n","print (g)\n","\n","# menor o igual que\n","h = b1 <= c1\n","print (h)"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["True\n","False\n","True\n","True\n","True\n","True\n","True\n","True\n"]}]},{"cell_type":"code","source":["5==5"],"metadata":{"id":"goD1l0VHq_H6","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676666451438,"user_tz":300,"elapsed":5,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"21c61a4c-392d-4c20-f877-2157c1c04470"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["True"]},"metadata":{},"execution_count":55}]},{"cell_type":"code","source":["7!=9"],"metadata":{"id":"RLawe21Ptmeb","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1674860259379,"user_tz":300,"elapsed":3,"user":{"displayName":"Reinel Tabares Soto","userId":"11849440450678359784"}},"outputId":"452676e6-2c64-4d52-f41d-daae8f684d69"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["True"]},"metadata":{},"execution_count":107}]},{"cell_type":"markdown","metadata":{"id":"vjsi1r7dUB3S"},"source":["# Operadores lógicos"]},{"cell_type":"markdown","metadata":{"id":"tNJTXsOGUB3S"},"source":["![image.png](data:image/png;base64,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)"]},{"cell_type":"code","metadata":{"id":"lHzhy-ZvUB3S","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676666608562,"user_tz":300,"elapsed":8,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"486a2473-b134-4aca-a4d3-d49568fed42e"},"source":["x=3\n","y=7\n","if x==3 and y==7:\n"," print('si')\n","else:\n"," print('no')"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["si\n"]}]},{"cell_type":"markdown","metadata":{"id":"p0yFkcijUB3Q"},"source":["# Estructuras condicionadas"]},{"cell_type":"markdown","metadata":{"id":"e_VAgq9TUB3Q"},"source":["![image.png](data:image/png;base64,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)"]},{"cell_type":"code","metadata":{"id":"a0AigYlKUB3R","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676666817803,"user_tz":300,"elapsed":814,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"2e813eb3-d62f-4410-cc54-19c08eb2bcec"},"source":["if 5>2:\n"," print('si')\n"," print('si2')\n","elif 1>3:\n"," print('sino si')\n","else:\n"," print('no')\n"," print('PorFuera')\n","print('PorFuera2')\n",""],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["si\n","si2\n","PorFuera2\n"]}]},{"cell_type":"markdown","metadata":{"id":"mUlIjZUHUB3U"},"source":["# Ejercicios"]},{"cell_type":"markdown","metadata":{"id":"8I7oH0XgUB3V"},"source":["1. Realice un programa que pida la edad de una persona en años. Si la edad es mayor o igual a 18, el programa debe imprimir la cadena: ‘ADULTO’. Si la edad es menor a 18 se debe imprimir: ‘MENOR DE EDAD’.\n","\n","2. Diseñe un algoritmo que determine si ún número es o no es, par positivo.\n","\n","3. Diseñe un algoritmo que lea un número de tres cifras y determine si es igual al revés del número.\n"]},{"cell_type":"code","source":["# Escribe aquí tu código\n"],"metadata":{"id":"dG9i4os_qvZb"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"YwqQzkDKUB3b"},"source":["# Estructuras repetitivas"]},{"cell_type":"code","metadata":{"id":"Zwu-4GblUB3b","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676666956959,"user_tz":300,"elapsed":982,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"9b67c4f7-b433-4936-c05e-ed80aeb83b3e"},"source":["#ciclo for\n","print(\"Ciclo for en un rango de datos: \")\n","for i in range(2,10):\n"," print(i)\n","\n","print('Ciclo for en una coleccion de datos:')\n","x=[3,4,5,7,8,\"Hola\"]\n","for i in x:\n"," print(\"El elemento es= \",i)\n","for i in range(len(x)):\n"," print(\"El elemento de la posicion\",i,'es:',x[i])"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Ciclo for en un rango de datos: \n","2\n","3\n","4\n","5\n","6\n","7\n","8\n","9\n","Ciclo for en una coleccion de datos:\n","El elemento es= 3\n","El elemento es= 4\n","El elemento es= 5\n","El elemento es= 7\n","El elemento es= 8\n","El elemento es= Hola\n","El elemento de la posicion 0 es: 3\n","El elemento de la posicion 1 es: 4\n","El elemento de la posicion 2 es: 5\n","El elemento de la posicion 3 es: 7\n","El elemento de la posicion 4 es: 8\n","El elemento de la posicion 5 es: Hola\n"]}]},{"cell_type":"code","metadata":{"id":"U39BrrCCUB3c","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1674860994178,"user_tz":300,"elapsed":8,"user":{"displayName":"Reinel Tabares Soto","userId":"11849440450678359784"}},"outputId":"acecb9d5-9385-46ab-cf86-fd4fb6f225a2"},"source":["print('Ciclo for en un diccionario:')\n","frutas = {'Fresa':'roja', 'Limon':'verde', 'Papaya':'naranja', 'Manzana':'amarilla', 'Guayaba':'rosa'}\n","for nombre, color in frutas.items():\n"," print (nombre, \"es de color\", color)\n","for llave in frutas:\n"," print(llave, 'es de color', frutas[llave])"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Ciclo for en un diccionario:\n","Fresa es de color roja\n","Limon es de color verde\n","Papaya es de color naranja\n","Manzana es de color amarilla\n","Guayaba es de color rosa\n","Fresa es de color roja\n","Limon es de color verde\n","Papaya es de color naranja\n","Manzana es de color amarilla\n","Guayaba es de color rosa\n"]}]},{"cell_type":"code","metadata":{"id":"7X8LUod8UB3e","colab":{"base_uri":"https://localhost:8080/","height":169},"executionInfo":{"status":"error","timestamp":1676667081427,"user_tz":300,"elapsed":413,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"c14ba82b-bd86-4931-98fe-a395a142d91a"},"source":["frutas"],"execution_count":null,"outputs":[{"output_type":"error","ename":"NameError","evalue":"ignored","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)","\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mfrutas\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m","\u001b[0;31mNameError\u001b[0m: name 'frutas' is not defined"]}]},{"cell_type":"code","metadata":{"id":"6x6Dvgz7UB3f","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676667082666,"user_tz":300,"elapsed":4,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"0f739746-65cb-4737-bc74-f154cc40dec3"},"source":["frutas = {'Fresa':'roja', 'Limon':'verde', 'Papaya':'naranja', 'Manzana':'amarilla', 'Guayaba':'rosa'}\n","frutas"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["{'Fresa': 'roja',\n"," 'Limon': 'verde',\n"," 'Papaya': 'naranja',\n"," 'Manzana': 'amarilla',\n"," 'Guayaba': 'rosa'}"]},"metadata":{},"execution_count":66}]},{"cell_type":"code","metadata":{"id":"V1TWkc7aUB3g","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676667085028,"user_tz":300,"elapsed":13,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"8db52fa3-1740-46b3-cace-b8c4543f6600"},"source":["len(frutas)"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["5"]},"metadata":{},"execution_count":67}]},{"cell_type":"code","metadata":{"id":"ebpdNCAkUB3h","colab":{"base_uri":"https://localhost:8080/","height":36},"executionInfo":{"status":"ok","timestamp":1676667085030,"user_tz":300,"elapsed":11,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"08f2960d-db2d-428e-f005-54801c0e5bea"},"source":["frutas.get('Fresa')"],"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["'roja'"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":68}]},{"cell_type":"code","metadata":{"id":"w-AvD18AUB3i","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676667087484,"user_tz":300,"elapsed":7,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"af2e74eb-ed2f-44ed-9e56-3512e82f0298"},"source":["for i in range(10):\n"," print(i)"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["0\n","1\n","2\n","3\n","4\n","5\n","6\n","7\n","8\n","9\n"]}]},{"cell_type":"code","metadata":{"id":"rnII30YuUB3l","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676667132694,"user_tz":300,"elapsed":965,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"0ea84d09-635a-4cdf-9c2a-18fd4b0f6201"},"source":["v=['a','b','c','d']\n","\n","for i in range(len(v)):\n"," print(i,\"-->\",v[i])\n"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["0 --> a\n","1 --> b\n","2 --> c\n","3 --> d\n"]}]},{"cell_type":"code","source":["for i in v:\n"," print(i)"],"metadata":{"id":"wE0d5jPNxz9j","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676667132696,"user_tz":300,"elapsed":11,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"b986c86f-a85f-4377-f802-09dbf0d12edb"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["a\n","b\n","c\n","d\n"]}]},{"cell_type":"code","metadata":{"id":"T0cml0ioUB3m","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676667177920,"user_tz":300,"elapsed":7,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"4c86820d-6355-45e8-c9fb-cdc7f9bdb75b"},"source":["#ciclo while\n","cont=0\n","while cont<10:\n"," print(cont)\n"," cont+=2"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["0\n","2\n","4\n","6\n","8\n"]}]},{"cell_type":"markdown","metadata":{"id":"cDvhM0cVUB3n"},"source":["# Ejercicio"]},{"cell_type":"markdown","metadata":{"id":"up221wehUB3o"},"source":["1. Realice un programa que lea las notas de un estudiante, despues devolver el promedio, la mejor y la peor nota."]},{"cell_type":"code","source":["# Escribe aquí tu código\n"],"metadata":{"id":"_jMKGr_tqpEx"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"ccpE2G3VUB4H"},"source":["# Funciones"]},{"cell_type":"markdown","metadata":{"id":"ZEH4KdMwUB4H"},"source":["Python es un lenguaje **indentado**, no usa corchetes para delimitar el alcance de las estructuras de programación sino que se fija en los **cambios de indentación**.\n","\n","No se declara el tipo de los argumentos de las funciones. La semática de la implementación ha de estar preparada para funcionar con los tipos de datos que quieres."]},{"cell_type":"code","metadata":{"id":"hwKKPlvYUB4H","scrolled":true},"source":["def funcion_1(a,b):\n"," r = a**2\n"," return r+b\n","\n","def greatest(a,b):\n"," if a>b:\n"," return a\n"," else:\n"," return b\n","\n"],"execution_count":null,"outputs":[]},{"cell_type":"code","source":["funcion_1 (10.4,2)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"jzmAlNPuKUtG","executionInfo":{"status":"ok","timestamp":1676667378906,"user_tz":300,"elapsed":4,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"bb2798e3-8479-4baa-8ed2-054eaf466066"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["110.16000000000001 \n","\n"]}]},{"cell_type":"code","source":["funcion_1 (10.4, np.array([2,4]))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"1DsDyHGKKWDs","executionInfo":{"status":"ok","timestamp":1676667406246,"user_tz":300,"elapsed":4,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"2b1f409a-3f83-42ad-f4d4-c5f1b866a486"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([110.16, 112.16])"]},"metadata":{},"execution_count":83}]},{"cell_type":"code","source":["funcion_1(np.array([1,5]),np.array([3,2]))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"sM5hYvORKXyp","executionInfo":{"status":"ok","timestamp":1676667423825,"user_tz":300,"elapsed":1046,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"2b6e27db-d9a2-49e4-f754-cfb4d114b3cb"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([ 4, 27])"]},"metadata":{},"execution_count":84}]},{"cell_type":"code","source":["m1 = np.array([[3,4],[1,1]])\n","m2 = np.array([[5,6],[0,0]])\n","funcion_1 (m1,m2)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"43ymC9egKYqd","executionInfo":{"status":"ok","timestamp":1676667473183,"user_tz":300,"elapsed":6,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"127aaeeb-33db-473d-b2d8-fd9ac3f44f61"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([[14, 22],\n"," [ 1, 1]])"]},"metadata":{},"execution_count":86}]},{"cell_type":"code","source":["greatest(10,2)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"nhyMF2tEKZnu","executionInfo":{"status":"ok","timestamp":1676667538136,"user_tz":300,"elapsed":2,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"0c8869ef-81ce-47bc-9338-4c9978bafb3d"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["10\n"]}]},{"cell_type":"markdown","metadata":{"id":"inKB12zpUB4L"},"source":["Podemos definir valores por defecto para los argumentos de las funciones y llamarlas usando explícitamente el nombre de los argumentos. Además, las funciones pueden devolver varios valores."]},{"cell_type":"code","metadata":{"id":"VX4Cz1szUB4M"},"source":["def f_power(x, p=2):\n"," return x**p"],"execution_count":null,"outputs":[]},{"cell_type":"code","source":["f_power(x=3)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"eIVsP80CLQPV","executionInfo":{"status":"ok","timestamp":1676667605756,"user_tz":300,"elapsed":4,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"1997d910-c15d-41ee-a8b6-ba92b3328055"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["9"]},"metadata":{},"execution_count":90}]},{"cell_type":"code","source":["f_power(p=4, x=3)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"vqCm3GULLQZG","executionInfo":{"status":"ok","timestamp":1676667615757,"user_tz":300,"elapsed":440,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"eb1387d1-bbcb-4c78-8da9-25f1d179d277"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["81"]},"metadata":{},"execution_count":91}]},{"cell_type":"code","metadata":{"id":"wVkyl6EkUB4O","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676667698279,"user_tz":300,"elapsed":4,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"33c7d5e3-7cae-4fc9-80e2-16f95830b403"},"source":["def f_power(x, p=2):\n"," return x**p, x*p\n","\n","r = f_power(p=4, x=3)\n","print(r[0],r[1],\"\\n\")"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["81 12 \n","\n"]}]},{"cell_type":"code","source":["r1, r2 = f_power(p=4, x=3)\n","print(r1)\n","print(r2,\"\\n\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"b3EenOhFLo6Z","executionInfo":{"status":"ok","timestamp":1676667731343,"user_tz":300,"elapsed":1094,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"4d5e14f4-4ef6-423c-ee4c-4aea829c478d"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["81\n","12 \n","\n"]}]},{"cell_type":"code","source":["\n","a,b = 10, np.array([10,4,-3])\n","print(a)\n","print(b)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"xq2Fi4UvLp8J","executionInfo":{"status":"ok","timestamp":1676667752440,"user_tz":300,"elapsed":2,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"0d11b18b-5a39-4b81-d115-58a527ea5dd8"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["10\n","[10 4 -3]\n"]}]},{"cell_type":"code","metadata":{"id":"HtHsrXySUB4Q","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1674699847015,"user_tz":300,"elapsed":3,"user":{"displayName":"Harold Brayan Arteaga Arteaga","userId":"02881993551096447470"}},"outputId":"efaf789e-0a8e-472a-f5e4-1e0f16630849"},"source":["def f_power(x, p=2):\n"," return x**p\n","\n","def f_powers(x, p1=2, p2=3):\n"," return x**p1, x**p2\n","\n","print(f_power(4))\n","print(f_power(4,3))\n","print(f_powers(4, p1=3))\n","xp1, xp2 = f_powers(4, p2=4, p1=3)\n","print(\"power1\",xp1, \"power2\", xp2)"],"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["16\n","64\n","(64, 64)\n","power1 64 power2 256\n"]}]},{"cell_type":"markdown","source":["# Paso por valor y referencia\n","\n","Dependiendo del tipo de dato que enviemos a la **función**, podemos diferenciar dos comportamientos:\n","\n","**Paso por valor**: Se crea una copia local de la variable dentro de la función.\n","\n","**Paso por referencia**: Se maneja directamente la variable, los cambios realizados dentro de la función le afectarán también fuera.\n","\n","Tradicionalmente:\n","\n","**Los tipos simples se pasan por valor**: Enteros, flotantes, cadenas, lógicos...\n","\n","**Los tipos compuestos se pasan por referencia**: Listas, diccionarios, conjuntos...\n"],"metadata":{"id":"qa2gm3gcwv5J"}},{"cell_type":"markdown","source":["**Ejemplo de paso por valor**\n","\n","Como ya sabemos los números se pasan por valor y crean una copia dentro de la función, por eso no les afecta externamente lo que hagamos con ellos:"],"metadata":{"id":"wS7mnGAuxKVJ"}},{"cell_type":"code","source":["def doblar_valor(x):\n"," x = 2*x\n"," return x"],"metadata":{"id":"DZ32v6yOxl-j"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["x=10\n","doblar_valor(x)\n","print(x,doblar_valor(x))"],"metadata":{"id":"FuhiIByByEaP","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676982182910,"user_tz":300,"elapsed":5,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"a16983f9-084f-43f5-8188-08acd92831d3"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["10 20\n"]}]},{"cell_type":"markdown","source":["Para modificar los tipos simples podemos devolverlos modificados y reasignarlos:"],"metadata":{"id":"5RNDoPqWzMC3"}},{"cell_type":"code","source":["x = 10\n","x = doblar_valor(x)\n","print(x)"],"metadata":{"id":"FTgOjjCXzNbg","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1676982182910,"user_tz":300,"elapsed":4,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"e35c7b88-3b4d-495d-81d4-b7445018d4d5"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["20\n"]}]},{"cell_type":"markdown","source":["**Ejemplo de paso por referencia**\n","\n","Sin embargo las listas u otras colecciones, al ser tipos compuestos se pasan por referencia, y si las modificamos dentro de la función estaremos modificándolas también fuera:"],"metadata":{"id":"fC38H9NqykKM"}},{"cell_type":"code","source":["def doblar_valores(y):\n"," for i,n in enumerate(y):\n"," y[i] = 2*y[i]"],"metadata":{"id":"eHRDWVZfyitu"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["y=[1,2,3]"],"metadata":{"id":"TkPDHM0e49I5"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["doblar_valores(y)"],"metadata":{"id":"_YNke5IrjzvR"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["print(y)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"20qNiWYMj2zk","executionInfo":{"status":"ok","timestamp":1676982182911,"user_tz":300,"elapsed":3,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"}},"outputId":"c2ccaf33-085a-42b9-a719-73fa4de30f07"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["[2, 4, 6]\n"]}]},{"cell_type":"markdown","metadata":{"id":"5pyWLfMpi-xT"},"source":["## Algortimo multipliación 2"]},{"cell_type":"markdown","metadata":{"id":"i1o87WMStAXz"},"source":["![fig3.png](data:image/png;base64,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)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"YsaVIxZcHtjg"},"outputs":[],"source":["# función para determinar el cociente\n","def funcionCociente(x,w):\n"," q=0\n"," r=x\n"," while r>=w:\n"," q=q+1\n"," r=r-w\n"," return q"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"XM2s7kGcHtjg"},"outputs":[],"source":["# función para determinar el residuo\n","def funcionResiduo(x,w):\n"," q=0\n"," r=x\n"," while r>=w:\n"," q=q+1\n"," r=r-w\n"," return r"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"tGqxiiiTHtjg"},"outputs":[],"source":["# función para determinar si un numero es par\n","def funcionPar(u):\n"," if funcionResiduo(u,2)==0:\n"," par=True\n"," else:\n"," par=False\n"," return par"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Xa5hq49AHtjg"},"outputs":[],"source":["def funcionMultiplicar(x,w):\n"," z=0\n"," u=x\n"," v=w\n"," while u!=0:\n"," if not funcionPar(u):\n"," z=z+v\n"," u=funcionCociente(u,2)\n"," v=2*v\n"," return z"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5393,"status":"ok","timestamp":1677156291476,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"},"user_tz":300},"id":"yuGP0rT7Htjh","outputId":"543136ff-2b32-4ab1-9d56-903033fdbba4"},"outputs":[{"name":"stdout","output_type":"stream","text":["Escribir un numero par multiplicar: 6\n","Escribir otro numero para multiplicar: 5\n","El resultado de la mutiplicación es: 30\n"]}],"source":["x=int(input('Escribir un numero par multiplicar: '))\n","w=int(input('Escribir otro numero para multiplicar: '))\n","print('El resultado de la mutiplicación es: ', funcionMultiplicar(x,w))"]},{"cell_type":"markdown","metadata":{"id":"9TFkr-kjUB4W"},"source":["# Expresiones compactas / Comprehensions"]},{"cell_type":"markdown","metadata":{"id":"2ql0sbHoUB4W"},"source":["Fíjate cómo las siguientes expresiones son equivalentes:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":2,"status":"ok","timestamp":1676668143098,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"},"user_tz":300},"id":"xbXj2IIIUB4X","outputId":"d990cd58-e48b-48f6-d0dc-ee98fad2a821"},"outputs":[{"output_type":"stream","name":"stdout","text":["mayor que 10\n"]}],"source":["a=15\n","if a > 10:\n"," s = \"mayor que 10\"\n","else:\n"," s = \"menor que 10\"\n","\n","print(s)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1676668152435,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"},"user_tz":300},"id":"KAXJngnAUB4Y","outputId":"973aff3c-5966-47d9-931f-998543149085"},"outputs":[{"output_type":"stream","name":"stdout","text":["mayor que 10\n"]}],"source":["a = 15\n","s = \"mayor que 10\" if a > 10 else \"menor que 10\"\n","print(s)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1676668186019,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"},"user_tz":300},"id":"VAOQ0XrjUB4a","outputId":"754b5ec6-3a1b-4b2f-ea6d-2773353b289b"},"outputs":[{"output_type":"stream","name":"stdout","text":["[0, 1, 2, 3, 4]\n"]}],"source":["l=[]\n","for i in range(5):\n"," l.append(i)\n","print(l)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1297,"status":"ok","timestamp":1676668205540,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"},"user_tz":300},"id":"jrsyNt34UB4b","outputId":"fe86099c-5100-4dfb-942f-083e1402a519"},"outputs":[{"output_type":"stream","name":"stdout","text":["[0, 1, 2, 3, 4]\n"]}],"source":["l=[i for i in range(5)]\n","print(l)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1676668269906,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"},"user_tz":300},"id":"so8A_AQ6UB4c","outputId":"8c97076d-4114-4643-dd91-9406cc96c927"},"outputs":[{"output_type":"stream","name":"stdout","text":["['10A', '-4B', '20A', '5A']\n"]}],"source":["a = [10, -4, 20, 5]\n","\n","#o = [\"10A\", \"-4B\", \"20A\", \"5A\"]\n","\n","o = []\n","for i in a:\n"," if i<0:\n"," o.append(str(i)+\"B\")\n"," else:\n"," o.append(str(i)+\"A\")\n","\n","print(o)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1442,"status":"ok","timestamp":1676668324920,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"},"user_tz":300},"id":"v7uL-y9NUB4e","outputId":"06171ebf-8d4b-4593-ab75-843d23503702"},"outputs":[{"output_type":"stream","name":"stdout","text":["['10A', '-4B', '20A', '5A']\n"]}],"source":["a = [10, -4, 20, 5]\n","def convert(x):\n"," return str(x)+\"B\" if x<0 else str(x)+\"A\"\n","\n","o = [convert(i) for i in a]\n","print(o)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":13,"status":"ok","timestamp":1674699569449,"user":{"displayName":"Harold Brayan Arteaga Arteaga","userId":"02881993551096447470"},"user_tz":300},"id":"z8kgve0vUB4f","outputId":"d0383ce7-f0c2-46f1-f77e-c4f46f748457"},"outputs":[{"name":"stdout","output_type":"stream","text":["['el numero 0', 'el numero 1', 'el numero 2', 'el numero 3', 'el numero 4', 'el numero 5', 'el numero 6', 'el numero 7', 'el numero 8', 'el numero 9']\n"]}],"source":["r = []\n","for i in range(10):\n"," r.append(\"el numero \"+str(i))\n","print(r)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":964,"status":"ok","timestamp":1676668366344,"user":{"displayName":"REINEL TABARES SOTO","userId":"06191532127423773923"},"user_tz":300},"id":"W2GqgKLMUB4g","outputId":"71591792-2e78-4e8a-cf5b-2dc2d9691289"},"outputs":[{"output_type":"stream","name":"stdout","text":["['el numero 0', 'el numero 1', 'el numero 2', 'el numero 3', 'el numero 4', 'el numero 5', 'el numero 6', 'el numero 7', 'el numero 8', 'el numero 9']\n"]}],"source":["r = [\"el numero \"+str(i) for i in range(10)]\n","print(r)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":14,"status":"ok","timestamp":1674699569450,"user":{"displayName":"Harold Brayan Arteaga Arteaga","userId":"02881993551096447470"},"user_tz":300},"id":"eQHg-bTzWA1Y","outputId":"a0e4bc4c-feaf-455b-db5c-b957b186147a"},"outputs":[{"name":"stdout","output_type":"stream","text":["Fresa es de color roja\n","Limon es de color verde\n","Papaya es de color naranja\n","Manzana es de color amarilla\n","Guayaba es de color rosa\n","\n"]},{"data":{"text/plain":["['Fresa es de color roja',\n"," 'Limon es de color verde',\n"," 'Papaya es de color naranja',\n"," 'Manzana es de color amarilla',\n"," 'Guayaba es de color rosa']"]},"execution_count":41,"metadata":{},"output_type":"execute_result"}],"source":["frutas = {'Fresa':'roja', 'Limon':'verde', 'Papaya':'naranja', 'Manzana':'amarilla', 'Guayaba':'rosa'}\n","for nombre, color in frutas.items():\n"," print (nombre, \"es de color\", color)\n","\n","print()\n","r = [nombre+\" es de color \"+color for nombre, color in frutas.items()]\n","r"]},{"cell_type":"markdown","source":["# Manejo de excepciones y errores.\n","\n","### Catching"],"metadata":{"id":"G7Zqyf_zLHh5"}},{"cell_type":"code","execution_count":null,"metadata":{"id":"uz3Qtsv4eAcl","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1692069205059,"user_tz":300,"elapsed":4,"user":{"displayName":"Johan Sebastian Piña Duran","userId":"00867931128936262856"}},"outputId":"daec8c19-5d1e-4edf-cf37-efe9bcc08977"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["3"]},"metadata":{},"execution_count":1}],"source":["int(3.2)"]},{"cell_type":"code","source":["int(\"hola\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":179},"id":"tb_Ov8YlLuxp","executionInfo":{"status":"error","timestamp":1692069212421,"user_tz":300,"elapsed":6,"user":{"displayName":"Johan Sebastian Piña Duran","userId":"00867931128936262856"}},"outputId":"da5f6aff-5378-4c51-e6f5-a7a06e955462"},"execution_count":null,"outputs":[{"output_type":"error","ename":"ValueError","evalue":"ignored","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)","\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"hola\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m","\u001b[0;31mValueError\u001b[0m: invalid literal for int() with base 10: 'hola'"]}]},{"cell_type":"markdown","source":["Manejar cualquier tipo de error que pase en un bloque de código"],"metadata":{"id":"KOM55qXHML0v"}},{"cell_type":"code","source":["def ejemplo_try_except(valor):\n"," try:\n"," resultado = 10 / valor\n"," print(\"El resultado es:\", resultado)\n"," except Exception as e:\n"," print(\"Ha ocurrido un error:\", e)\n","\n","# Ejemplos de llamadas a la función\n","ejemplo_try_except(2)\n","ejemplo_try_except(0)\n","ejemplo_try_except('cadena')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"2WDzmUi6MQLX","executionInfo":{"status":"ok","timestamp":1692069342176,"user_tz":300,"elapsed":413,"user":{"displayName":"Johan Sebastian Piña Duran","userId":"00867931128936262856"}},"outputId":"a05372ce-1219-4551-9940-9eb62d0a23ca"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["El resultado es: 5.0\n","Ha ocurrido un error: division by zero\n","Ha ocurrido un error: unsupported operand type(s) for /: 'int' and 'str'\n"]}]},{"cell_type":"markdown","source":["Manejando un tipo especifico de error"],"metadata":{"id":"cWMkYfODMVD-"}},{"cell_type":"code","source":["def int_times_two(x):\n"," try:\n"," return(int(x)*2)\n"," except ValueError:\n"," return 0"],"metadata":{"id":"jvGv8SiALyYk"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["int_times_two(2)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Isps9IROMcbj","executionInfo":{"status":"ok","timestamp":1692069390743,"user_tz":300,"elapsed":343,"user":{"displayName":"Johan Sebastian Piña Duran","userId":"00867931128936262856"}},"outputId":"e8d67bd3-937e-4dcd-ddcc-2499fcd7cdd2"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["4"]},"metadata":{},"execution_count":5}]},{"cell_type":"code","source":["int_times_two(2.5)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"4L8UfFujMeZw","executionInfo":{"status":"ok","timestamp":1692069398079,"user_tz":300,"elapsed":405,"user":{"displayName":"Johan Sebastian Piña Duran","userId":"00867931128936262856"}},"outputId":"52582304-616c-478b-a020-95e99e1d0d8e"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["4"]},"metadata":{},"execution_count":6}]},{"cell_type":"code","source":["int_times_two(\"hola\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"yF4cr2oEMgB0","executionInfo":{"status":"ok","timestamp":1692069406017,"user_tz":300,"elapsed":3,"user":{"displayName":"Johan Sebastian Piña Duran","userId":"00867931128936262856"}},"outputId":"8cf75bae-f589-4660-b333-792c813f602e"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0"]},"metadata":{},"execution_count":7}]},{"cell_type":"markdown","source":["Manejo de la sentencia finally para que, pase o no pase un error, siempre ejecute lo que se coloque en la sentencia finally"],"metadata":{"id":"BhjEkLdtOa1Q"}},{"cell_type":"code","source":["def division_segura(dividendo, divisor):\n"," try:\n"," resultado = dividendo / divisor\n"," return resultado\n"," except ZeroDivisionError:\n"," print(\"¡Error! No puedes dividir entre cero.\")\n"," return None\n"," finally:\n"," print(\"Operación finalizada.\")"],"metadata":{"id":"Oa15Y22oOaEg"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["dividendo = 10\n","divisor = 2\n","\n","resultado_division = division_segura(dividendo, divisor)\n","\n","if resultado_division is not None:\n"," print(\"El resultado de la división es:\", resultado_division)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"7vdxh-QoOrWN","executionInfo":{"status":"ok","timestamp":1692069979082,"user_tz":300,"elapsed":359,"user":{"displayName":"Johan Sebastian Piña Duran","userId":"00867931128936262856"}},"outputId":"d822b136-92f5-48e1-bdc6-36b8d554352b"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Operación finalizada.\n","El resultado de la división es: 5.0\n"]}]},{"cell_type":"code","source":["dividendo = 10\n","divisor = 0\n","\n","resultado_division = division_segura(dividendo, divisor)\n","\n","if resultado_division is not None:\n"," print(\"El resultado de la división es:\", resultado_division)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"HZJhIVT7O1My","executionInfo":{"status":"ok","timestamp":1692070024209,"user_tz":300,"elapsed":358,"user":{"displayName":"Johan Sebastian Piña Duran","userId":"00867931128936262856"}},"outputId":"06067196-d0f8-46dd-e54c-169c1a381df1"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["¡Error! No puedes dividir entre cero.\n","Operación finalizada.\n"]}]},{"cell_type":"markdown","source":["## Raising\n","\n","Este tipo de sentencias se utilizan para generar errores personalizados dentro del código"],"metadata":{"id":"DcuscN1uOWKk"}},{"cell_type":"code","source":["def get_positive_integer_from_user():\n"," a = int(input(\"Enter a positive integer: \"))\n"," if a <= 0:\n"," raise ValueError(\"That is not a positive number!\")\n"," print (\"thanks!\")"],"metadata":{"id":"6g6DEyeAMiM8"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["get_positive_integer_from_user()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"gp1_Q6X4O7CC","executionInfo":{"status":"ok","timestamp":1692070045046,"user_tz":300,"elapsed":4640,"user":{"displayName":"Johan Sebastian Piña Duran","userId":"00867931128936262856"}},"outputId":"7c15b9a1-cf30-4981-895f-c2421ee4ce05"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Enter a positive integer: 1\n","thanks!\n"]}]},{"cell_type":"code","source":["get_positive_integer_from_user()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":304},"id":"Ygq8WpIGO9BS","executionInfo":{"status":"error","timestamp":1692070061222,"user_tz":300,"elapsed":3090,"user":{"displayName":"Johan Sebastian Piña Duran","userId":"00867931128936262856"}},"outputId":"f42d17dc-9686-4626-80a2-0d91e647e2ff"},"execution_count":null,"outputs":[{"name":"stdout","output_type":"stream","text":["Enter a positive integer: -1\n"]},{"output_type":"error","ename":"ValueError","evalue":"ignored","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)","\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mget_positive_integer_from_user\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m","\u001b[0;32m\u001b[0m in \u001b[0;36mget_positive_integer_from_user\u001b[0;34m()\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0ma\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Enter a positive integer: \"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0ma\u001b[0m \u001b[0;34m<=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"That is not a positive number!\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 5\u001b[0m \u001b[0mprint\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m\"thanks!\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mValueError\u001b[0m: That is not a positive number!"]}]}]}