comprehensions.ipynb

comprehensions.ipynb

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  "metadata": {
    "colab": {
      "name": "comprehensions.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyNdvvGfs/URG34X0iSgHw4O",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/GEJ1/6bb0a3f81e3c1bc183c12f3058fc4557/comprehensions.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "######## Listas por comprensión ########\n",
        "# [<expresion> for <item> in <iterable> if <condicion>]\n",
        "\n",
        "lista1 = [1,2,3,4,5,6,7,8]\n",
        "lista2 = [ item * 2 for item in  lista1 if item > 5]\n",
        "print(lista2)\n",
        "# >> [12, 14, 16]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LIgbJACsTtcD",
        "outputId": "98c52154-189d-4507-a3b5-08479f6823df"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[12, 14, 16]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "######## Diccionario por comprensión ########\n",
        "# {<clave>:<valor> for <item> in <iterable> if <condicion>}\n",
        "\n",
        "nombres   = ['Carla', 'Ramiro', 'Erica']\n",
        "profesion = ['Ingeniera', 'Psicólogo', 'Empresaria']\n",
        "\n",
        "mi_diccionario = {clave:valor for (clave,valor) in zip(nombres,profesion)}\n",
        "print(mi_diccionario)\n",
        "# >> {'Carla': 'Ingeniera', 'Ramiro': 'Psicólogo', 'Erica': 'Empresaria'}"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BY5jM8mgUzaF",
        "outputId": "2c09395d-ae1f-4bfc-e856-8708fb66048e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'Carla': 'Ingeniera', 'Ramiro': 'Psicólogo', 'Erica': 'Empresaria'}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "######## Sets (conjuntos) por comprensión ########\n",
        "# {<expression> for <item> in <iterable> if <condition>} \n",
        "# Ojo: La diferencia con los diccionarios es que aca no hay clave y valor\n",
        "\n",
        "lista = ['perro', 'gato', 'mono', 'pelicano']\n",
        "\n",
        "mi_set = {item for item in lista if item.startswith('pe')} \n",
        "print(mi_set)\n",
        "# >> {'perro', 'pelicano'}"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NVephwkTZBZF",
        "outputId": "e388024c-3d0e-4381-913d-a34cd9ef3a59"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'perro', 'pelicano'}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "######## Generadores por comprensión ########\n",
        "# (<expression> for <item> in <iterable> if <condition>)\n",
        "# Notar que no necesitamos la palabra reservada 'yield'\n",
        "\n",
        "lista = [2, 4, 6, 8, 10]\n",
        "mi_generador = (numero**2 for numero in lista)\n",
        "print(next(mi_generador))\n",
        "print(next(mi_generador))\n",
        "# >> 4\n",
        "# >> 16"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WY1Zi1yLXmd0",
        "outputId": "cf0c4d5b-8231-4cd8-80fe-1385d74eb180"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "4\n",
            "16\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "bW7fSrkZao1s"
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      "execution_count": null,
      "outputs": []
    }
  ]
}