{
 "metadata": {
  "language": "ruby",
  "name": "",
  "signature": "sha256:eb2b076c9cf0d96bb27cbe3af28c545be2c725581444b4f5db894c65bc8d1c98"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "slide_helper": "subslide_end",
       "slide_type": "subslide"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "# Ruby para programadores Python\n",
      "\n",
      "*Diferencias que voy encontrando entre los dos lenguajes y me llaman la atencion.*\n",
      "\n",
      "Juanjo Conti\n",
      "\n",
      "@jjconti\n",
      "\n",
      "http://www.juanjoconti.com.ar"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "File.open('proruby.jpg')"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "slide_helper": "subslide_end",
       "slide_type": "subslide"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "outputs": [
      {
       "jpeg": 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",
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 1,
       "text": [
        "#<File:proruby.jpg>"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "slide_helper": "subslide_end",
       "slide_type": "subslide"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Principalmente\n",
      "- https://www.ruby-lang.org/en/documentation/ruby-from-other-languages/to-ruby-from-python/\n",
      "\n",
      "- http://rubylearning.com\n",
      "\n",
      "- http://ruby-doc.com/docs/ProgrammingRuby/\n",
      "\n",
      "- http://stackoverflow.com/questions/tagged/ruby\n",
      "\n",
      "- http://www.ruby-doc.org/core-2.1.2/\n",
      "\n",
      "- http://www.codecademy.com/\n",
      "\n",
      "## Algunos detalles\n",
      "- http://jafrog.com/2012/10/07/mutable-objects-as-hash-keys-in-ruby.html\n",
      "- http://rubylearning.com/blog/2011/07/12/throw-catch-raise-rescue-im-so-confused/\n",
      "- http://www.rubyinside.com/21-ruby-tricks-902.html"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "RUBY_VERSION"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "slide_helper": "subslide_end",
       "slide_type": "subslide"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 2,
       "text": [
        "\"2.1.2\""
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "slide_helper": "subslide_end",
       "slide_type": "subslide"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## \u00bfQu\u00e9 muestro?\n",
      "\n",
      "- ### Ejemplos con tipos de datos (bools, strings, arrays, ranges, symbols, hashes)\n",
      "\n",
      "- ### Introducci\u00f3n a bloques\n",
      "\n",
      "- ### Ejemplos con m\u00e9todos\n",
      "\n",
      "- ### Cuestiones sint\u00e1cticas del lenguaje\n",
      "\n",
      "- ### Advertencias!\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "slide_helper": "subslide_end",
       "slide_type": "subslide"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "# Ejemplos con tipos de datos"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "slide_helper": "subslide_end",
       "slide_type": "subslide"
      },
      "slide_helper": "subslide_end",
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Todo tiene valor de verdad true excepto false y nil"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "def que_es obj\n",
      "  obj ? \"#{obj} es true\" : \"#{obj} es false\"\n",
      "end\n",
      "\n",
      "que_es []"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 3,
       "text": [
        "\"[] es true\""
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "que_es 1"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_number": 8
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "\"1 es true\""
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "que_es false"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 9,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 5,
       "text": [
        "\"false es false\""
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 9,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Los strings son mutables"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "s = \"Cactus\"\n",
      "s[0] = 'KKKK'\n",
      "s"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 11,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "\"KKKKactus\""
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 11,
       "slide_helper": "subslide_end",
       "slide_type": "subslide"
      },
      "slide_helper": "subslide_end",
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Conversi\u00f3n de tipos mediante m\u00e9todos"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "\"hola\".to_i"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 11,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "0"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "\".5\".to_f"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 14
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "0.5"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "\" 1.5    -  fffffff \".to_f"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 15
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 9,
       "text": [
        "1.5"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "\"..... 1.54    -  fffffff \".to_f"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 16,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 10,
       "text": [
        "0.0"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 16,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Arrays y sus \u00edndices"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "a = []\n",
      "a[4] = 1\n",
      "a"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 18
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 11,
       "text": [
        "[nil, nil, nil, nil, 1]"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "a[10]"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 19,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [],
     "prompt_number": 12
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 19,
       "slide_helper": "subslide_end",
       "slide_type": "subslide"
      },
      "slide_helper": "subslide_end",
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Objetos mutables como valor por defecto en un array"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "arr = Array.new(3, {})"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 19,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 13,
       "text": [
        "[{}, {}, {}]"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "arr[1][:a] = 1\n",
      "arr"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 22,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 14,
       "text": [
        "[{:a=>1}, {:a=>1}, {:a=>1}]"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 22,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Array * string"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "array = [1, 2, 3, 4, 100]\n",
      "array * 2"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 24
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 15,
       "text": [
        "[1, 2, 3, 4, 100, 1, 2, 3, 4, 100]"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "array * '|'"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 25
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 16,
       "text": [
        "\"1|2|3|4|100\""
       ]
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "[1, [2,3], 4, [[[5]]]] * ','"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 26,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 17,
       "text": [
        "\"1,2,3,4,5\""
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 26,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Los hashes recuerdan el orden de inserci\u00f3n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "h = {}\n",
      "h[1] = \"a\"\n",
      "h[2] = \"b\"\n",
      "h[3] = \"c\"\n",
      "h.delete(1)\n",
      "h[1] = \"A\"\n",
      "h.keys"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 28,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 18,
       "text": [
        "[2, 3, 1]"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 28,
       "slide_helper": "subslide_end",
       "slide_type": "subslide"
      },
      "slide_helper": "subslide_end",
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Se pueden usar objetos mutables como claves"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "a = []\n",
      "h = {a => 2}\n",
      "h.default = 'defecto'\n",
      "a << 1\n",
      "h"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 28,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 19,
       "text": [
        "{[1]=>2}"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "h[a]"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 31
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 20,
       "text": [
        "\"defecto\""
       ]
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "h.rehash\n",
      "h[a]"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 32,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 21,
       "text": [
        "2"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 32,
       "slide_helper": "subslide_end",
       "slide_type": "subslide"
      },
      "slide_helper": "subslide_end",
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Tratamiento especial de strings al usarlos como claves\n",
      "A pesar de que son objetos mutables, al usarlos como claves, se realiza una copia de ellos y se freeza."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "key = 'a'\n",
      "hash = {key => 1}"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 32,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 22,
       "text": [
        "{\"a\"=>1}"
       ]
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "key.upcase!"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 35
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 23,
       "text": [
        "\"A\""
       ]
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "hash"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 36
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 24,
       "text": [
        "{\"a\"=>1}"
       ]
      }
     ],
     "prompt_number": 24
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "key.object_id"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 37
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 25,
       "text": [
        "70262201808180"
       ]
      }
     ],
     "prompt_number": 25
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "hash.keys[0].object_id"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 38,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 26,
       "text": [
        "70262201808140"
       ]
      }
     ],
     "prompt_number": 26
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 38,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Notaci\u00f3n compacta para hashes con s\u00edmbolos como claves"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "{:a => 1, :b => 2}"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 40
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 27,
       "text": [
        "{:a=>1, :b=>2}"
       ]
      }
     ],
     "prompt_number": 27
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "{a: 1, b: 2}"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 41,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 28,
       "text": [
        "{:a=>1, :b=>2}"
       ]
      }
     ],
     "prompt_number": 28
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 41,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "##S\u00edmbolos"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      ":simbolo"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 43
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 29,
       "text": [
        ":simbolo"
       ]
      }
     ],
     "prompt_number": 29
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      ":\"Con espacios\""
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 44
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 30,
       "text": [
        ":\"Con espacios\""
       ]
      }
     ],
     "prompt_number": 30
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "\"hola\".object_id"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 45
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 31,
       "text": [
        "70262217568780"
       ]
      }
     ],
     "prompt_number": 31
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "\"hola\".object_id"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 46
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 32,
       "text": [
        "70262213790460"
       ]
      }
     ],
     "prompt_number": 32
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      ":hola.object_id"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 47
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 33,
       "text": [
        "1171208"
       ]
      }
     ],
     "prompt_number": 33
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      ":hola.object_id"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 48,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 34,
       "text": [
        "1171208"
       ]
      }
     ],
     "prompt_number": 34
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 48,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "##Ranges"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "(1..4).to_a"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 50
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 35,
       "text": [
        "[1, 2, 3, 4]"
       ]
      }
     ],
     "prompt_number": 35
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "(1...4).to_a"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 51
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 36,
       "text": [
        "[1, 2, 3]"
       ]
      }
     ],
     "prompt_number": 36
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "e = \"a\"..\"z\"\n",
      "e.to_enum.next.next"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 52,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 37,
       "text": [
        "\"b\""
       ]
      }
     ],
     "prompt_number": 37
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "# Introducci\u00f3n a bloques"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def llama_bloque\n",
      "    puts \"inicio llama_bloque\"\n",
      "    yield\n",
      "    puts \"fin llama_bloque\"\n",
      "end"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 38,
       "text": [
        ":llama_bloque"
       ]
      }
     ],
     "prompt_number": 38
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "llama_bloque { puts \"en el bloque\" }"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "inicio llama_bloque\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "en el bloque\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "fin llama_bloque\n"
       ]
      }
     ],
     "prompt_number": 39
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def llama_bloque\n",
      "    puts \"inicio llama_bloque\"\n",
      "    yield 2\n",
      "    puts \"fin llama_bloque\"\n",
      "end"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 40,
       "text": [
        ":llama_bloque"
       ]
      }
     ],
     "prompt_number": 40
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "llama_bloque { |x| puts \"en el bloque #{x}\" }"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "inicio llama_bloque\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "en el bloque 2\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "fin llama_bloque\n"
       ]
      }
     ],
     "prompt_number": 41
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def masticar numeros\n",
      "    for x in numeros\n",
      "        yield x * 2\n",
      "    end\n",
      "end"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 42,
       "text": [
        ":masticar"
       ]
      }
     ],
     "prompt_number": 42
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "masticar [1,2,3,4] { |y| y / 2 }"
     ],
     "language": "python",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 43,
       "text": [
        "[1, 2, 3, 4]"
       ]
      }
     ],
     "prompt_number": 43
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 52,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "# Ejemplos con m\u00e9todos"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 54,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "### chop vs. chomp"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "\"hola\".chop"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 56
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 44,
       "text": [
        "\"hol\""
       ]
      }
     ],
     "prompt_number": 44
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "\"hola\".chomp"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 57
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 45,
       "text": [
        "\"hola\""
       ]
      }
     ],
     "prompt_number": 45
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "\"hola\\n\".chomp"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 58,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "subslide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 46,
       "text": [
        "\"hola\""
       ]
      }
     ],
     "prompt_number": 46
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 58,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "### map y collect son alias"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "[1, 2, 3].map {|x| x * 2}"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 60
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 47,
       "text": [
        "[2, 4, 6]"
       ]
      }
     ],
     "prompt_number": 47
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "[1, 2, 3].collect do |x| \n",
      "    n = 1 + 1\n",
      "    x * n\n",
      "end"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 61,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "subslide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 48,
       "text": [
        "[2, 4, 6]"
       ]
      }
     ],
     "prompt_number": 48
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 61,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "### count, size y lenght"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "array = ['hola', 3, Object.new]\n",
      "array.size"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 63
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 49,
       "text": [
        "3"
       ]
      }
     ],
     "prompt_number": 49
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "array.count"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 64
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 50,
       "text": [
        "3"
       ]
      }
     ],
     "prompt_number": 50
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "array.length"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 65
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 51,
       "text": [
        "3"
       ]
      }
     ],
     "prompt_number": 51
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "array[10] = 1\n",
      "array"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 66
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 52,
       "text": [
        "[\"hola\", 3, #<Object:0x007fce632a56a0>, nil, nil, nil, nil, nil, nil, nil, 1]"
       ]
      }
     ],
     "prompt_number": 52
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "[array.size, array.count, array.length]"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 67,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "subslide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 53,
       "text": [
        "[11, 11, 11]"
       ]
      }
     ],
     "prompt_number": 53
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 67,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "source": [
      "### to_s o to_str, to_i o to_int"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "[1.to_s, \"5\".to_i]"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 69
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 54,
       "text": [
        "[\"1\", 5]"
       ]
      }
     ],
     "prompt_number": 54
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "\"1\".to_int"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 70
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "ename": "NoMethodError",
       "evalue": "undefined method `to_int' for \"1\":String",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[31mNoMethodError\u001b[0m: undefined method `to_int' for \"1\":String",
        "\u001b[37m(pry):95:in `<main>'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:355:in `eval'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:355:in `evaluate_ruby'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:323:in `handle_line'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:243:in `block (2 levels) in eval'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:242:in `catch'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:242:in `block in eval'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:241:in `catch'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:241:in `eval'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/iruby-0.1.13/lib/iruby/backend.rb:28:in `eval'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/iruby-0.1.13/lib/iruby/kernel.rb:110:in `execute_request'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/iruby-0.1.13/lib/iruby/kernel.rb:62:in `run'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/iruby-0.1.13/lib/iruby/command.rb:30:in `run_kernel'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/iruby-0.1.13/lib/iruby/command.rb:16:in `run'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/iruby-0.1.13/bin/iruby:6:in `<top (required)>'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/bin/iruby:23:in `load'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/bin/iruby:23:in `<main>'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/bin/ruby_executable_hooks:15:in `eval'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/bin/ruby_executable_hooks:15:in `<main>'\u001b[0m"
       ]
      }
     ],
     "prompt_number": 55
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "class MyInt\n",
      "  def to_int\n",
      "    0\n",
      "  end\n",
      "end\n",
      "\n",
      "[1, 2][MyInt.new]"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 71,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 56,
       "text": [
        "1"
       ]
      }
     ],
     "prompt_number": 56
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 71,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Symbol#to_proc"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "['un', 'dos', 'tres'].map(&:upcase)"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 73,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 57,
       "text": [
        "[\"UN\", \"DOS\", \"TRES\"]"
       ]
      }
     ],
     "prompt_number": 57
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "class Symbol\n",
      "  def to_proc\n",
      "    Proc.new {|x| x * 2}\n",
      "  end\n",
      "end\n",
      "\n",
      "['un', 'dos', 'tres'].map(&:upcase)"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 73,
       "slide_helper": "subslide_end",
       "slide_type": "subslide"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 58,
       "text": [
        "[\"unun\", \"dosdos\", \"trestres\"]"
       ]
      }
     ],
     "prompt_number": 58
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 73,
       "slide_helper": "subslide_end",
       "slide_type": "subslide"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "# Cuestiones sint\u00e1cticas"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 73,
       "slide_helper": "subslide_end",
       "slide_type": "subslide"
      },
      "slide_helper": "subslide_end",
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Sintaxis: bloques: { } o do/end\n",
      "La regla de estilo dice que se recomiendo usar llaves cuando el bloque es de una l\u00ednea y do/end cuando es multil\u00ednea. Para la elecci\u00f3n, tambi\u00e9n conviene saber que las llaves tienen alta presedencia mientras que do/end baja."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "def come_bloques a\n",
      "  puts a\n",
      "  yield\n",
      "end"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 73,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 59,
       "text": [
        ":come_bloques"
       ]
      }
     ],
     "prompt_number": 59
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "come_bloques 1 { puts 2}"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 78
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "SyntaxError: unexpected '{', expecting end-of-input\n",
        "come_bloques 1 { puts 2}\n",
        "                ^\n"
       ]
      }
     ],
     "prompt_number": 60
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "come_bloques(1) { puts 2}"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 79
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "1\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2\n"
       ]
      }
     ],
     "prompt_number": 61
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "come_bloques 1 do puts 2 end"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 80,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "1\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2\n"
       ]
      }
     ],
     "prompt_number": 62
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 80,
       "slide_helper": "subslide_end",
       "slide_type": "subslide"
      },
      "slide_helper": "subslide_end",
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Sintaxis: el parser ve aunque no ejecute\n",
      "Para saber que existe una variable, no necesita haber ejecutado su asginaci\u00f3n. Alcanza con que el parser la haya visto."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "q.nil?"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 80,
       "slide_helper": "subslide_end",
       "slide_type": "subslide"
      },
      "slide_helper": "subslide_end",
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "outputs": [
      {
       "ename": "NameError",
       "evalue": "undefined local variable or method `q' for main:Object",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[31mNameError\u001b[0m: undefined local variable or method `q' for main:Object",
        "\u001b[37m(pry):117:in `<main>'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:355:in `eval'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:355:in `evaluate_ruby'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:323:in `handle_line'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:243:in `block (2 levels) in eval'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:242:in `catch'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:242:in `block in eval'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:241:in `catch'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:241:in `eval'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/iruby-0.1.13/lib/iruby/backend.rb:28:in `eval'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/iruby-0.1.13/lib/iruby/kernel.rb:110:in `execute_request'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/iruby-0.1.13/lib/iruby/kernel.rb:62:in `run'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/iruby-0.1.13/lib/iruby/command.rb:30:in `run_kernel'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/iruby-0.1.13/lib/iruby/command.rb:16:in `run'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/iruby-0.1.13/bin/iruby:6:in `<top (required)>'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/bin/iruby:23:in `load'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/bin/iruby:23:in `<main>'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/bin/ruby_executable_hooks:15:in `eval'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/bin/ruby_executable_hooks:15:in `<main>'\u001b[0m"
       ]
      }
     ],
     "prompt_number": 63
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "q = 1 if q.nil?"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 80,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 64,
       "text": [
        "1"
       ]
      }
     ],
     "prompt_number": 64
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "if false\n",
      "  f = 1\n",
      "end\n",
      "f.inspect"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 84,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 65,
       "text": [
        "\"nil\""
       ]
      }
     ],
     "prompt_number": 65
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 84,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Sintaxis: par\u00e1metros con valores por defecto referenciando par\u00e1metros previos"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "def parametros a, b=a*2\n",
      "  [a, b]\n",
      "end\n",
      "\n",
      "parametros 10"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 86,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 66,
       "text": [
        "[10, 20]"
       ]
      }
     ],
     "prompt_number": 66
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Sintaxis: captura gen\u00e9rica de par\u00e1metros no necesariamente al final"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "def ejemplo(a, *b, c)\n",
      "    puts [a, b, c]\n",
      "end\n",
      "\n",
      "ejemplo 1, 2, 3, 4, 5"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 54,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "subslide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[1, [2, 3, 4], 5]\n"
       ]
      }
     ],
     "prompt_number": 67
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 86,
       "slide_helper": "subslide_end",
       "slide_type": "subslide"
      },
      "slide_helper": "subslide_end",
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Sintaxis: *expresion* if *condici\u00f3n*"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "a = 1 if true"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 86,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 68,
       "text": [
        "1"
       ]
      }
     ],
     "prompt_number": 68
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 89
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "source": [
      "Como if es tambi\u00e9n una expresi\u00f3n, lo siguiente es v\u00e1lido:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "if true\n",
      "  puts \"no no no no\"\n",
      "end if false"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 90,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [],
     "prompt_number": 69
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 90,
       "slide_helper": "subslide_end",
       "slide_type": "subslide"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "# Advertencias!"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 90,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Comas al final de una l\u00ednea (!)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "config = {\n",
      "  A1: 1,\n",
      "  B2: 2\n",
      "}"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 93
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 70,
       "text": [
        "{:A1=>1, :B2=>2}"
       ]
      }
     ],
     "prompt_number": 70
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "A1 = 1,\n",
      "B2 = 2\n",
      "A1"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 94,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 71,
       "text": [
        "[1, 2]"
       ]
      }
     ],
     "prompt_number": 71
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 94,
       "slide_helper": "subslide_end",
       "slide_type": "subslide"
      },
      "slide_helper": "subslide_end",
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## Espacios en blanco (!)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "C1 = 'A'\n",
      "C2 = 'B'\n",
      "C1 + C2"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 94,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "subslide"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 72,
       "text": [
        "\"AB\""
       ]
      }
     ],
     "prompt_number": 72
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "'A' +C2"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 97
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 73,
       "text": [
        "\"AB\""
       ]
      }
     ],
     "prompt_number": 73
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "C1 +C2"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 98,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "ename": "NoMethodError",
       "evalue": "undefined method `+@' for \"B\":String",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[31mNoMethodError\u001b[0m: undefined method `+@' for \"B\":String",
        "\u001b[37m(pry):148:in `<main>'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:355:in `eval'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:355:in `evaluate_ruby'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:323:in `handle_line'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:243:in `block (2 levels) in eval'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:242:in `catch'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:242:in `block in eval'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:241:in `catch'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/pry-0.10.1/lib/pry/pry_instance.rb:241:in `eval'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/iruby-0.1.13/lib/iruby/backend.rb:28:in `eval'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/iruby-0.1.13/lib/iruby/kernel.rb:110:in `execute_request'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/iruby-0.1.13/lib/iruby/kernel.rb:62:in `run'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/iruby-0.1.13/lib/iruby/command.rb:30:in `run_kernel'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/iruby-0.1.13/lib/iruby/command.rb:16:in `run'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/gems/iruby-0.1.13/bin/iruby:6:in `<top (required)>'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/bin/iruby:23:in `load'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/bin/iruby:23:in `<main>'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/bin/ruby_executable_hooks:15:in `eval'\u001b[0m",
        "\u001b[37m/Users/juanjo/.rvm/gems/ruby-2.1.2/bin/ruby_executable_hooks:15:in `<main>'\u001b[0m"
       ]
      }
     ],
     "prompt_number": 74
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 98,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "## No uso de par\u00e9ntesis (!)\n",
      "\n",
      "El uso de par\u00e9ntesis al llamar a m\u00e9todos sirve no solo para aumentar la legibilidad del c\u00f3digo sino tambi\u00e9n para ayudar al parser a tomar decisiones correctas en situaciones ambiguas.\n",
      "\n",
      "Respuesta de Matthew Kerwin en ruby-talk."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "def C(*args) [:C, *args]; end\n",
      "C = 99"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 100
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 75,
       "text": [
        "99"
       ]
      }
     ],
     "prompt_number": 75
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "C +1"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 101
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 76,
       "text": [
        "[:C, 1]"
       ]
      }
     ],
     "prompt_number": 76
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "C + 1"
     ],
     "language": "python",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 102,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 77,
       "text": [
        "100"
       ]
      }
     ],
     "prompt_number": 77
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 102,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "# No vimos"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 104
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "source": [
      "## Bloques, Procs y Lambdas"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 105
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "source": [
      "## Clases y accesores"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "source": [
      "## Excepciones"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 106,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "source": [
      "## M\u00f3dulos y Mixins"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 106,
       "slide_type": "subslide"
      },
      "slideshow": {
       "slide_type": "slide"
      }
     },
     "source": [
      "#FIN"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 108
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "source": [
      "#Muchas gracias!"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 109
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "source": [
      "#\u00bfPreguntas?"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 110
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "source": [
      "* ## \u00bfQu\u00e9 usaste para hacer las *slides*?"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 111
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "source": [
      "* ### IPython (ahora llamado Jupyter) con el kernel IRuby y el plugin live_reveal (reveal.js)"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 112
      },
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "source": [
      "* ## \u00bfDe d\u00f3nde se pueden bajar las slides?"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {
      "internals": {
       "frag_helper": "fragment_end",
       "frag_number": 113,
       "slide_helper": "subslide_end"
      },
      "slide_helper": "slide_end",
      "slideshow": {
       "slide_type": "fragment"
      }
     },
     "source": [
      "* ### juanjoconti.com.ar\n",
      "* ### github.com/jjconti"
     ]
    }
   ],
   "metadata": {}
  }
 ]
}