Gestionando codigo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Gestionando el código\n",
    "---------------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introducción\n",
    "Para poder administrar cualquier proyecto real necesitamos poder distribuir el código en distintos ficheros. De esta manera podremos mantenerlo y reutilizarlo. También necesitaremos un mecanismo para instalar y utilizar bibliotecas de terceros. Por último necesitaremos asegurarnos de que tenemos el entorno de ejecución adecuado para cad proyecto.\n",
    "\n",
    "Esto es lo que vamos a ver en este capítulo."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Módulos y paquetes\n",
    "Un modulo es un fichero *.py* que implementa un conjunto lógico de elementos. Podemos importar un módulo para usarlo en nuestro código con la expresión *import \\<nombreModulo\\>*.\n",
    "\n",
    "La primera vez que se importa un módulo se ejecuta su código y los objetos definidos en él se guardan en una variable con el mismo nombre que el modulo.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "someVariable = 42\n",
      "\n",
      "def someFunction(a, b):\n",
      "    return a+b\n",
      "    \n",
      "\n",
      "class someClass:\n",
      "    \n",
      "    def __init__(self, value):\n",
      "        \n",
      "        self._value = value\n",
      "        print(f'Initializing with {value}')\n",
      "        \n",
      "    def getValue(self):\n",
      "        return value\n"
     ]
    }
   ],
   "source": [
    "openedFile = open('myModule.py', 'r')\n",
    "try:\n",
    "    print(''.join(openedFile.readlines()))\n",
    "finally:\n",
    "    openedFile.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "42\n",
      "11\n"
     ]
    }
   ],
   "source": [
    "import myModule\n",
    "print(myModule.someVariable)\n",
    "print(myModule.someFunction(4,7))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tambiem podemos importar directamente componentes especificos del módulo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11\n"
     ]
    }
   ],
   "source": [
    "from myModule import someFunction\n",
    "print(someFunction(4,7))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Un paquete es un directorio que puede contener otros submodulos o subpaquetes y un fichero *\\_\\_init\\_\\_.py*. Cuando importamos un paquete usando el nombre del directorio lo que se ejecuta es el archivo *\\_\\_init\\_\\_.py*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "from .otherModule import *\n",
      "\n",
      "print('Cargando Submodulo')\n"
     ]
    }
   ],
   "source": [
    "openedFile = open('myPackage/__init__.py', 'r')\n",
    "try:\n",
    "    print(''.join(openedFile.readlines()))\n",
    "finally:\n",
    "    openedFile.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "otherVariable = 42\n",
      "\n",
      "def otherFunction(a, b):\n",
      "    return a+b\n",
      "    \n",
      "\n",
      "class otherClass:\n",
      "    \n",
      "    def __init__(self, value):\n",
      "        \n",
      "        self._value = value\n",
      "        print(f'Initializing with {value}')\n",
      "        \n",
      "    def getValue(self):\n",
      "        return value\n"
     ]
    }
   ],
   "source": [
    "openedFile = open('myPackage/otherModule.py', 'r')\n",
    "try:\n",
    "    print(''.join(openedFile.readlines()))\n",
    "finally:\n",
    "    openedFile.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cargando Submodulo\n",
      "42\n",
      "7\n"
     ]
    }
   ],
   "source": [
    "import myPackage\n",
    "print(myPackage.otherVariable)\n",
    "print(myPackage.otherFunction(3,4))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Por último, podemos asignar alias a los modulos/paquetes cuando los importamos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7c626c8>]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "x = np.linspace(0,10,100)\n",
    "y = np.sin(x)\n",
    "plt.plot(x, y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Gestores de paquetes\n",
    "Para instalar paquetes de terceros podemos copiar las fuentes en el directorio de nuestro proyecto e importarlos como si fueran nuestros, pero eso dificulta el mantenerlos actualizado y no resuelve las posibles dependencias que puedan tener con terceros paquetes.\n",
    "Por suerte tenemos herramientas específicas para la gestión de paquetes. Como con las implementaciones de Python, podemos elegir entre varias opciones. Las principales son:\n",
    "- *pip*: La herramienta oficial. Se descarga los paquetes directamente del [Python Package Index](https://pypi.org/), que tambien es el repositorio oficial de Python.\n",
    "- *conda*: La herramienta que hemos instalado con [Anaconda](https://www.anaconda.com/distribution/). Tiene acceso a [Anaconda cloud](https://anaconda.org/) donde los própios usuarios pueden subir paquetes. Además, si no encuentra un paquete en su repositorio también puede usar *pip."
   ]
  },
  {
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    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para ver los paquetes que tenemos instalados:\n",
    "> conda list\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para instalar un paquete nuevo:\n",
    "> conda install <nombrePaquete\\>\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para desinstalar un paquete:\n",
    "> conda remove <nombrePaquete\\>\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Si no encontramos el paquete en *conda* podemos usar el equivalente en *pip*:\n",
    "> pip list  \n",
    "> pip install <nombrePaquete\\>  \n",
    "> pip uninstall <nombrePaquete\\>  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Entornos virtuales\n",
    "Los entornos virtuales nos permiten aislar distintas instalaciones de Python dentro del mismo ordenador.\n",
    "\n",
    "Esto es util, por ejemplo si tenemos que usar distintas versiones de Python en distintos proyectos o si necesitamos una versión especifica de cierta libreria en un proyecto.\n",
    "\n",
    "También vamos a poder exportar los entornos virtuales de manera que los usuarios de nuestra aplicación puedan clonarlos y garantizar que tienen todas las librerias necesarias instaladas.\n",
    "\n",
    "Hay varias herramientas para gestionar entornos virtuales, pero nosotros vamos a seguir con la de *conda*"
   ]
  },
  {
   "attachments": {
    "image.png": {
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    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para ver un listado de nuestros entornos virtuales:\n",
    "> conda env list\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "attachments": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para crear un nuevo entorno virtual:\n",
    "> conda env create -n CursoDio2\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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Pv+YW8HApZvzsW43rfq4twHvY8xL0DJw5rhnrxl39fjVmtPOMfYbrgYCfhHsI+Non+QAAaFA3AABSEPATED+Gmmsnaua+A8BnoG4AANRBwAMAAAAATAQCHgAAAABgIhDwAAAAAAATgYAHAAAAAJgIBDwAAAAAwEQg4AEAAAAAJgIBDwAAAAAwEQh4AAAAAICJQMADAAAAAEwEAh4AAAAAYCIQ8AAAAAAAE/ES8P8DibW30gNLva4AAAAASUVORK5CYII="
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para eliminar un entorno:\n",
    "> conda env remove -n <nombreEntorno\\>\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Una vez que tenemos el entorno creado, para trabajar con el tenemos que activarlo:\n",
    "> conda activate <nombreEntorno\\>\n",
    "\n",
    "Y desactivarlo cuando acabamos:\n",
    "> conda deactivate"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cuando estamos usando un entorno virtual tenemos acceso a la version de Python y bibliotecas instaladas en ese entorno, y sólo a ellas.\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  }
 ],
 "metadata": {
  "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": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}