{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/financieras/pyCourse/blob/main/jupyter/calisto3/0170_paquetes.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "c1bdbec8",
      "metadata": {
        "id": "c1bdbec8"
      },
      "source": [
        "# Paquetes\n",
        "* Son los directorios (o carpetas) donde se almacenan los módulos que estén relacionados entre si.  \n",
        "* Sirven para organizar y reutilizar el código de los módulos.\n",
        "* Se construye creando una carpeta que debe incluir un fichero \\_\\_init\\_\\_.py\n",
        "* La carpeta para crear nuestro paquete se llamará *calculos* y dentro de ella crearemos el archivo \\_\\_init\\_\\_.py\n",
        "* La ruta será:\n",
        "    - pyCourse/jupyter/calculos/\\_\\_init\\_\\_.py"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "1d4859bc",
      "metadata": {
        "id": "1d4859bc"
      },
      "outputs": [],
      "source": [
        "from calculos.calculos_generales import potencia\n",
        "\n",
        "potencia(2, 10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "9b099dc0",
      "metadata": {
        "id": "9b099dc0"
      },
      "outputs": [],
      "source": [
        "from calculos.calculos_generales import *\n",
        "\n",
        "dividir(120, 17)\n",
        "redondear(120/17, 2)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "0c312cd6",
      "metadata": {
        "id": "0c312cd6"
      },
      "source": [
        "De igual forma que hemos creado el módulo calculos_generales.py dentro de la carpeta *calculos* podemos ir creando más módulos y formar en esa carpeta un paquete con módulos que contengan cálculos relacionados.\n",
        "\n",
        "El intérprete de Python crea automáticamente una carpeta denominada \\_\\_pycache\\_\\_ que está dentro de la carpeta *calculos*.  \n",
        "\n",
        "![calclos](https://github.com/financieras/pyCourse/blob/main/jupyter/img/calculos.png?raw=1)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "951fc73b",
      "metadata": {
        "id": "951fc73b"
      },
      "source": [
        "## Subpaquetes\n",
        "Dentro del paquete *calculos* vamos a crear otras carpetas que actuarán como subpaquetes denominadas:\n",
        "- *basicos*\n",
        "- *estadisticos*\n",
        "\n",
        "Para que estas carpetas sean realmente subpaquete deben contener ambas, dentro, el archivo \\_\\_init\\_\\_.py  \n",
        "![paquetes](https://github.com/financieras/pyCourse/blob/main/jupyter/img/paquetes.png?raw=1)\n",
        "\n",
        "* Dentro del subpaquete basicos creamos el archivo operaciones.py\n",
        "* Dentro del subpaquete estadisticos creamos el archivo centrales.py"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "7860de4c",
      "metadata": {
        "id": "7860de4c"
      },
      "source": [
        "#### operaciones.py"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "64802b50",
      "metadata": {
        "id": "64802b50"
      },
      "outputs": [],
      "source": [
        "def sumar(n1, n2):\n",
        "    print(f\"El resultado de la suma es {n1+n2}\")\n",
        "def restar(n1, n2):\n",
        "    print(f\"El resultado de la resta es {n1-n2}\")\n",
        "def multiplicar(n1, n2):\n",
        "    print(f\"El resultado del producto es {n1*n2}\")\n",
        "def dividir(n1, n2):\n",
        "    print(f\"El resultado de dividir {n1} entre {n2} es {n1/n2}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "71fddd7b",
      "metadata": {
        "id": "71fddd7b"
      },
      "source": [
        "#### centrales.py"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "9c143dc6",
      "metadata": {
        "id": "9c143dc6"
      },
      "outputs": [],
      "source": [
        "def media(*valores):                 # el parámetro no es una lista sino una serie de valores\n",
        "    total = 0\n",
        "    for k, v in enumerate(valores):\n",
        "        total += v\n",
        "    print(f\"La media es {total/(k+1)}\")\n",
        "\n",
        "def moda(lista):\n",
        "    frequency = {}\n",
        "    for value in lista:\n",
        "        frequency[value] = frequency.get(value, 0) + 1\n",
        "    most_frequent = max(frequency.values())\n",
        "    modas = [key for key, value in frequency.items() if value == most_frequent]\n",
        "    return modas"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "31349b45",
      "metadata": {
        "id": "31349b45"
      },
      "source": [
        "Vamos a usar estos subpaquetes.\n",
        "\n",
        "from calculos.basicos.operaciones import dividir\n",
        "\n",
        "* calculos → paquete principal\n",
        "* basicos → subpaquete\n",
        "* operaciones → modulo\n",
        "* dividir → función"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "77a5d966",
      "metadata": {
        "id": "77a5d966",
        "outputId": "2fe78dca-fb9d-414a-92b2-c3f3195b3da9"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "El resultado de dividir 101 entre 11 es 9.181818181818182\n"
          ]
        }
      ],
      "source": [
        "from calculos.basicos.operaciones import dividir\n",
        "\n",
        "dividir(101, 11)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "58f335cd",
      "metadata": {
        "id": "58f335cd",
        "outputId": "7691af89-ca20-48dc-cae7-7ec6c74a3c22"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "La media es 5.0\n",
            "[9]\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "['NIKE']"
            ]
          },
          "execution_count": 17,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from calculos.estadisticos.centrales import *\n",
        "\n",
        "media(3, 4, 5, 6, 7)\n",
        "print(moda([3, 4, 5, 6, 7, 7, 9, 9, 9, 10]))\n",
        "moda(['ADIDAS', 'BESSEL', 'CONVERSE', 'NIKE', 'NEW BALANCE', 'REEBOK', 'VANS', 'VANS', 'NIKE', 'NIKE', 'ADIDAS'])"
      ]
    }
  ],
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      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.11"
    },
    "colab": {
      "name": "0170_paquetes.ipynb",
      "provenance": [],
      "include_colab_link": true
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}