Getting_Started_With_Jupyter.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 5,
  "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": "3.8.5"
    },
    "colab": {
      "name": "Getting Started With Jupyter.ipynb",
      "provenance": [],
      "include_colab_link": true
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/edwardramirez31/Pandas-Introduction/blob/master/Getting_Started_With_Jupyter.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "naughty-questionnaire"
      },
      "source": [
        "# Cómo imprimir en Python\n",
        "- Uso la función print y dentro le paso como parámetro el string hola mundo\n",
        "\n",
        "1. Llamar print\n",
        "2. En jupyter *.**NO** es necesario print* \n",
        "3. fasdf *asdfasdf  sdds**sdsd** sfdsdf*"
      ],
      "id": "naughty-questionnaire"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2r5Aak3mjhHC"
      },
      "source": [
        ""
      ],
      "id": "2r5Aak3mjhHC",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "collapsed": true,
        "id": "comic-daily",
        "outputId": "2a26f6f4-498d-4f5a-f580-fffc3d2d8572"
      },
      "source": [
        "print(\"hello world\")"
      ],
      "id": "comic-daily",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "hello world\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "effective-cartoon"
      },
      "source": [
        "name = \"Edward\""
      ],
      "id": "effective-cartoon",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "beneficial-brighton"
      },
      "source": [
        "canalYoutube = \"CodingWithWard\""
      ],
      "id": "beneficial-brighton",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "adopted-trail",
        "outputId": "07d26d69-2db7-4223-9f00-4e3f15489287"
      },
      "source": [
        "name"
      ],
      "id": "adopted-trail",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Luisito'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "proved-administrator",
        "outputId": "b83254e8-496c-4c4d-9fc9-2c7598528410"
      },
      "source": [
        "canalYoutube"
      ],
      "id": "proved-administrator",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'CodingWithWard'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "painted-moscow"
      },
      "source": [
        "name = \"Ward\""
      ],
      "id": "painted-moscow",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cultural-document",
        "outputId": "fadba62d-186d-4604-c700-05d18a279def"
      },
      "source": [
        "%lsmagic"
      ],
      "id": "cultural-document",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/json": {
              "cell": {
                "!": "OSMagics",
                "HTML": "Other",
                "SVG": "Other",
                "bash": "Other",
                "capture": "ExecutionMagics",
                "cmd": "Other",
                "debug": "ExecutionMagics",
                "file": "Other",
                "html": "DisplayMagics",
                "javascript": "DisplayMagics",
                "js": "DisplayMagics",
                "latex": "DisplayMagics",
                "markdown": "DisplayMagics",
                "perl": "Other",
                "prun": "ExecutionMagics",
                "pypy": "Other",
                "python": "Other",
                "python2": "Other",
                "python3": "Other",
                "ruby": "Other",
                "script": "ScriptMagics",
                "sh": "Other",
                "svg": "DisplayMagics",
                "sx": "OSMagics",
                "system": "OSMagics",
                "time": "ExecutionMagics",
                "timeit": "ExecutionMagics",
                "writefile": "OSMagics"
              },
              "line": {
                "alias": "OSMagics",
                "alias_magic": "BasicMagics",
                "autoawait": "AsyncMagics",
                "autocall": "AutoMagics",
                "automagic": "AutoMagics",
                "autosave": "KernelMagics",
                "bookmark": "OSMagics",
                "cd": "OSMagics",
                "clear": "KernelMagics",
                "cls": "KernelMagics",
                "colors": "BasicMagics",
                "conda": "PackagingMagics",
                "config": "ConfigMagics",
                "connect_info": "KernelMagics",
                "copy": "Other",
                "ddir": "Other",
                "debug": "ExecutionMagics",
                "dhist": "OSMagics",
                "dirs": "OSMagics",
                "doctest_mode": "BasicMagics",
                "echo": "Other",
                "ed": "Other",
                "edit": "KernelMagics",
                "env": "OSMagics",
                "gui": "BasicMagics",
                "hist": "Other",
                "history": "HistoryMagics",
                "killbgscripts": "ScriptMagics",
                "ldir": "Other",
                "less": "KernelMagics",
                "load": "CodeMagics",
                "load_ext": "ExtensionMagics",
                "loadpy": "CodeMagics",
                "logoff": "LoggingMagics",
                "logon": "LoggingMagics",
                "logstart": "LoggingMagics",
                "logstate": "LoggingMagics",
                "logstop": "LoggingMagics",
                "ls": "Other",
                "lsmagic": "BasicMagics",
                "macro": "ExecutionMagics",
                "magic": "BasicMagics",
                "matplotlib": "PylabMagics",
                "mkdir": "Other",
                "more": "KernelMagics",
                "notebook": "BasicMagics",
                "page": "BasicMagics",
                "pastebin": "CodeMagics",
                "pdb": "ExecutionMagics",
                "pdef": "NamespaceMagics",
                "pdoc": "NamespaceMagics",
                "pfile": "NamespaceMagics",
                "pinfo": "NamespaceMagics",
                "pinfo2": "NamespaceMagics",
                "pip": "PackagingMagics",
                "popd": "OSMagics",
                "pprint": "BasicMagics",
                "precision": "BasicMagics",
                "prun": "ExecutionMagics",
                "psearch": "NamespaceMagics",
                "psource": "NamespaceMagics",
                "pushd": "OSMagics",
                "pwd": "OSMagics",
                "pycat": "OSMagics",
                "pylab": "PylabMagics",
                "qtconsole": "KernelMagics",
                "quickref": "BasicMagics",
                "recall": "HistoryMagics",
                "rehashx": "OSMagics",
                "reload_ext": "ExtensionMagics",
                "ren": "Other",
                "rep": "Other",
                "rerun": "HistoryMagics",
                "reset": "NamespaceMagics",
                "reset_selective": "NamespaceMagics",
                "rmdir": "Other",
                "run": "ExecutionMagics",
                "save": "CodeMagics",
                "sc": "OSMagics",
                "set_env": "OSMagics",
                "store": "StoreMagics",
                "sx": "OSMagics",
                "system": "OSMagics",
                "tb": "ExecutionMagics",
                "time": "ExecutionMagics",
                "timeit": "ExecutionMagics",
                "unalias": "OSMagics",
                "unload_ext": "ExtensionMagics",
                "who": "NamespaceMagics",
                "who_ls": "NamespaceMagics",
                "whos": "NamespaceMagics",
                "xdel": "NamespaceMagics",
                "xmode": "BasicMagics"
              }
            },
            "text/plain": [
              "Available line magics:\n",
              "%alias  %alias_magic  %autoawait  %autocall  %automagic  %autosave  %bookmark  %cd  %clear  %cls  %colors  %conda  %config  %connect_info  %copy  %ddir  %debug  %dhist  %dirs  %doctest_mode  %echo  %ed  %edit  %env  %gui  %hist  %history  %killbgscripts  %ldir  %less  %load  %load_ext  %loadpy  %logoff  %logon  %logstart  %logstate  %logstop  %ls  %lsmagic  %macro  %magic  %matplotlib  %mkdir  %more  %notebook  %page  %pastebin  %pdb  %pdef  %pdoc  %pfile  %pinfo  %pinfo2  %pip  %popd  %pprint  %precision  %prun  %psearch  %psource  %pushd  %pwd  %pycat  %pylab  %qtconsole  %quickref  %recall  %rehashx  %reload_ext  %ren  %rep  %rerun  %reset  %reset_selective  %rmdir  %run  %save  %sc  %set_env  %store  %sx  %system  %tb  %time  %timeit  %unalias  %unload_ext  %who  %who_ls  %whos  %xdel  %xmode\n",
              "\n",
              "Available cell magics:\n",
              "%%!  %%HTML  %%SVG  %%bash  %%capture  %%cmd  %%debug  %%file  %%html  %%javascript  %%js  %%latex  %%markdown  %%perl  %%prun  %%pypy  %%python  %%python2  %%python3  %%ruby  %%script  %%sh  %%svg  %%sx  %%system  %%time  %%timeit  %%writefile\n",
              "\n",
              "Automagic is ON, % prefix IS NOT needed for line magics."
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "distant-guinea"
      },
      "source": [
        "%matplotlib inline"
      ],
      "id": "distant-guinea",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "looking-reduction",
        "outputId": "12a8162c-1375-4cf9-986c-a529c14db4c1"
      },
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "N = 50\n",
        "x = np.random.rand(N)\n",
        "y = np.random.rand(N)\n",
        "colors = np.random.rand(N)\n",
        "area = np.pi * ( 15 * np.random.rand(N)) ** 2\n",
        "plt.scatter(x, y, s=area, c=colors, alpha=0.5)\n",
        "plt.show"
      ],
      "id": "looking-reduction",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<function matplotlib.pyplot.show(close=None, block=None)>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}