Semana_1_Actividad_2_Python_for_Data_Science_(IBM).ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyPE3BNx1Z7Fx8mz1t18qeG8",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/PosgradoMNA/Zayra-Annette-Lopez-Regalado-A00544748-Actividades-de-aprendizaje/blob/main/Semana_1_Actividad_2_Python_for_Data_Science_(IBM).ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Module 1**"
      ],
      "metadata": {
        "id": "2J9niNyRpyfy"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YZtQ741HPN6w",
        "outputId": "19bc9cc5-6536-4a55-86fc-dedd112ab338"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Hello\n",
            "World!\n"
          ]
        }
      ],
      "source": [
        "print(\"Hello\\nWorld!\")\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# print('Hello World!')"
      ],
      "metadata": {
        "id": "ljs0l04LRlpu"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\"0123456\".find('1')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "I0GC5j1BYp1m",
        "outputId": "88b44c33-a2b7-40ca-b23e-e44cb2d1f323"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "3+2*2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KX4uSHlXY-L2",
        "outputId": "60c40344-aeaa-421c-ab09-1d1d361f32c0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "7"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "name = 'Lizz'\n",
        "print(name[0:2])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "htsb2s65ZE8N",
        "outputId": "e38b530e-a61d-46ff-9c44-d57e4564e1d6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Li\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "var = '01234567'\n",
        "print(var[::2])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RZGbeDbRZkXG",
        "outputId": "a29a929e-e3d1-4483-b449-23e98acbe4c4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0246\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "'1'+'2'"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "-W0gdFcsZ8h0",
        "outputId": "3616c60f-1eb0-41ed-da8b-d46388f99e65"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'12'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "myvar = 'hello'"
      ],
      "metadata": {
        "id": "ZCfGtodLaS-k"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "![Course Progress for 'ZayraLopez' Module1.JPG](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAeAB4AAD/4REARXhpZgAATU0AKgAAAAgABAE7AAIAAAASAAAISodpAAQAAAABAAAIXJydAAEAAAAkAAAQ1OocAAcAAAgMAAAAPgAAAAAc6gAAAAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEpvcmdlIEwgSGVybmFuZGV6AAAFkAMAAgAAABQAABCqkAQAAgAAABQAABC+kpEAAgAAAAMxOQAAkpIAAgAAAAMxOQAA6hwABwAACAwAAAieAAAAABzqAAAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA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)"
      ],
      "metadata": {
        "id": "rmxOwgZmcPsw"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Module 2**\n"
      ],
      "metadata": {
        "id": "rOTocLelpPBg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "A=(0,1,2,3)\n",
        "A[3]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "szM0MZLnpwJo",
        "outputId": "3024454c-4e8c-4cd3-f2ce-4e37bcc3e66b"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3"
            ]
          },
          "metadata": {},
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "B=[\"a\",\"b\",\"c\"]\n",
        "B[1:]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Qe9nHd76qGWA",
        "outputId": "e73d2009-a0e1-4728-d28e-b62dfbec6d06"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['b', 'c']"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "S={'A','B','C'}\n",
        "U={'A','Z','C'}\n",
        "U.union(S)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fFbV1gJMqGIp",
        "outputId": "8d222a95-12c8-4f83-bc75-ef726ffa1e1d"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'A', 'B', 'C', 'Z'}"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "S={'A','B','C'}\n",
        "U={'A','Z','C'}\n"
      ],
      "metadata": {
        "id": "tUT8QcTTtjpY"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "D = {'a':0,'b':1,'c':2}\n",
        "D.values()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IW7A57MPukxX",
        "outputId": "caf3244b-2261-4c2f-8f1a-d4251bf017fa"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "dict_values([0, 1, 2])"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "D = {'a':0,'b':1,'c':2}\n",
        "D['b']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "A3W12NgLvAjw",
        "outputId": "c79b8457-adce-4503-fb8f-69321038dfe4"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "A = ('a','b','c')\n",
        "A[0]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "zXUWzDa9vZIG",
        "outputId": "5c7cd197-cd9d-45e2-d728-e8a2baa7deae"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'a'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Dict={\"A\":1,\"B\":\"2\",\"C\":[3,3,3],\"D\":(4,4,4),'E':5,'F':6}\n",
        "Dict[\"D\"]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mcz9Hge5wooQ",
        "outputId": "0a46af6a-d7b9-41ae-9572-6ee327dc23ee"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(4, 4, 4)"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Module 3**"
      ],
      "metadata": {
        "id": "1ysqU7HXxMgg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "x='a'\n",
        "if(x!='a'):\n",
        "  print(\"This is not a.\")\n",
        "else:\n",
        "  print(\"This is a.\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FRyHSQLMxPkX",
        "outputId": "4e3daac4-3f45-4855-8726-0b3bb9fcdb78"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "This is a.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "A=[3,4,5]\n",
        "for a in A:\n",
        "  print(a)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7pWU4tkw-tBN",
        "outputId": "25c86fa7-99a5-46dd-998d-7a50e4d4a152"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "3\n",
            "4\n",
            "5\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x=3\n",
        "y=1\n",
        "while(y!=x):\n",
        "  print(y)\n",
        "  y=y+1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ibaMyjmm--Ki",
        "outputId": "ab48cc89-9f41-46fd-e554-581d25460e8b"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1\n",
            "2\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "a=1\n",
        "def add(b):\n",
        "  return a+b\n",
        "  c=add(10)\n",
        "def f(*x):\n",
        "  return sum(x)"
      ],
      "metadata": {
        "id": "HpPHbxcAGaDl"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "make=\"Honda\"\n",
        "model=\"Accord\"\n",
        "color=\"blue\"\n"
      ],
      "metadata": {
        "id": "YXcFnzm3Ssgx"
      },
      "execution_count": 58,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x=1\n",
        "if(x!=1):\n",
        "  print('Hello')\n",
        "else:\n",
        "  print('Hi')\n",
        "print('Mike')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "awpo2Z13VxnD",
        "outputId": "6c98ab19-2389-483a-e74b-27ee51e87010"
      },
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Hi\n",
            "Mike\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "A = ['1','2','3']\n",
        "for a in A:\n",
        "  print(2*a)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "44ZN5tISWMk5",
        "outputId": "d0ee467f-5731-4839-ad03-a5faca865e5b"
      },
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "11\n",
            "22\n",
            "33\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def Delta(x):\n",
        "  if x==0:\n",
        "    y=1;\n",
        "  else:\n",
        "    y=0;\n",
        "  return(y)\n"
      ],
      "metadata": {
        "id": "nEMaAxK8Wevo"
      },
      "execution_count": 64,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "![Avance modulo 3.PNG](data:image/png;base64,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7BH1At1ZXV5edqO++++61yuvTf4APP/zw7CS+sf8Zho5oc3Q1bY6tQbujK2lv0BLGpWq+/fffv7i0MQxPAWCaO+iAAw7YpIAudeu88sorHQ71mUL1VOV32GGHbXCVINAiVch+5zvfyS5aAbqXNCx2mtc2Vba3/Z5Zql+/fvGZz3wm+xe2RYI+IDfSnBXPPfdcdj/9B3Vj56yAjaXN0dW0ObYG7Y6upL3xWpWCvksuuSTOPPPM2GuvvYpLG+cMuvrqq+O8887r1IqgtK898MAD8dOf/jSrdHj7298eX/ziF83TB5vgIx/5SFx++eUuSIFuLA3LOX369Ow8q8KW1yJz9AG5kTqCevbsmd10CtEVtDm6mjbH1qDd0ZW0N9iyUvXeDTfcEKNHj45vfvObWQXSV7/61fja174m5INNdOihh2bBOdB9pe+WqfrWfM+8VqnoAwAAANiCUkXfl7/85Wyuvp122qm4tHFuof/7v//L5q4sDb/32GOPbIixDQnnSqv3Hn300ejRo0dWMfuVr3yleU5MYNMtX748rrrqqmyu2TRXX+k+3KS0UhfYeprOiX/4wx+y++nc+m//9m/ZHLkuMmNbJugDAAAA2ILSHEL/+7//G88++2xxybqlgO8DH/hAFtq1J3XlNM1/+ctf/jKrZKiuro7BgwfHn/70p5gxY0YW9Bm+DDbfBRdckFXLpvm/0j654447Fp9p8e1vf7t4D9ha0rn2yiuvzOal3X333bNgL11Q889//jPe8573xDnnnNPheRXyTtAHAAAAkCOpQvDCCy+MnXfeOc4444zYZ599Yrvttsueq62tFfRBJ0pzaa6Pij7YulLEMWvWrHjkkUfi05/+dOy2227FZyIL+qZMmRIHHnhgfPjDHy4uhW2LOfoAAAAAcqS8vDxOPvnkePnll7PA77LLLovHH3886+gEOlcK8dZ3A7auVM23dOnS+NCHPtQq5EvS4xTwPfbYY1llLmyLVPQB3V7TkDSp9D4Nl5G86U1vysruhwwZEpWVldmyJk2HtaYrWmFjaXN0NW2OrUG7oytpb7BlpH2laf9qGsKzf//+8cQTT6jog02U5tJMIXqa67Lp8fqk6lpg60mV7pdcckmceeaZ7YbvqTL36quvjvPOO8+5kW2SoA/ottLhacGCBXHNNdfE6173uhg4cGD07t07m0z36aefzoakSVfipKFqqqqqso6g5557Ln784x/HSSed5MTNRtPm6GraHFuDdkdX0t6g66Qw4r777osbb7wx/va3v8W///u/Z0H6O9/5zmyeImDDTJ06Nf7xj39kYXny9a9/Pft3Xb7whS8U7wFbQ/o+eemll8aJJ56YDdHZ1h//+Mf46U9/Gp/73Oey76SwrRH0Ad3WQw89FDU1NTFs2LA49thjY6eddio+0ygdvm677bb4yU9+EhMmTIiKiopsyJqGhoZs+Jp0NStsDG2OrqbNsTVod3Ql7Q26XtqvSqv8Usj3/ve/PxvqU9URrN+dd94ZTz31VPNcXrfcckv277ocd9xxxXvA1vKzn/0su+AlzdGXRo5o8te//jWbo+/www+PD37wg8WlsG0R9AHdUrrKe9q0aVln0Mc+9rEOr0BNr5s5c2bzONs77rhjfOpTnzJGPhtNm6OraXNsDdodXUl7g62vqcpv4cKF8YlPfEKVLGygNAxgutgkVZoD+ZDm6bvyyivjd7/7XTYvX/oO+sILL2TDxh9xxBHZCBI9evQovhq2LdsX/wXoVtLJefny5XHwwQd32CmUpOfSEFBp4vm99947LrroIp1CbBJtjq6mzbE1aHd0Je0Ntr5UwTd48OD4/Oc/L+SDjZCqyuvr64uPGqXz2vTp04uPgO4mhXjnnntutv+mc1/6fnnUUUdlo0ucc845Qj62aYI+oFtKV3anL9Hbb7/+w1SvXr1i3333jdNPP715smzYWNocXU2bY2vQ7uhK2hsAeZXmuXzllVeKjxqlYaVvv/324iNga0vfM2fPnp1dWNYkVeHuv//+cdppp2UjSqRhq9/+9rerzmWbt/7/cQFsBekEvK4rv0s9++yz2ZA0TtpsDm2OrqbNsTVod3Ql7Q0AgC0lhe/33HNPNjQnvNYJ+oBuKZXTv/nNb44HHnggm0y+I+m52tra2HPPPZXgs1m0ObqaNsfWoN3RlbQ3AACALU/QB3RLacLcNFHuL/5/e3fTUtUWxgH80QYGpdkgiMRJJDgryEHTBoLoWERQ8Auk4EwQvInQByiaNVMaNE9HNfATOHPgJCloIIovQSLEde22cW8v95p21j67fj/YsM7a58z+58BezzrrefWqaB7/vcWhNJfupfek96bPwFnJHLnJHFWQO3KSNwAAgMZrOX6w+vZpC6AJpL4ui4uLsbKyErdu3Yr79+9HR0dHcW9vby9ev34dGxsbMTAwEGNjY6c+Ggp+RObITeaogtyRk7wBUEfDw8MxOjoaFy9eLGciPn78GM+fPy/6fn1tcHCwHAG57O7uxtzcXNGr75/f1R+5du1aTE1NRXt7ezkDvw+FPqCpnezyfvHiRbx58+ZLM+zW1taime7IyEjcvn1bPxd+GZkjN5mjCnJHTvIGQN08evSoHJ3OzMxMOQJyOSn03bhxoyji/Z9U4BsaGnJUPL8lhT6gNtKO8A8fPhTjS5cu2fFNw8kcuckcVZA7cpI3AOrg8PCwHJ1OW1tbOQJyOSn0TUxMxJ07d8pZ+DPp0QfURloISkc9pevrRaH0N/20cAS/ksyRm8xRBbkjJ3kDoA5S4e5nLgCokkIf0NTSju/V1dVYWlqKtbW1ODo6Ku98ll4vLy/H/Px8HBwclLNwdjJHbjJHFeSOnOQNAACgcRzdCTStzc3NWFhYiJ2dnXImoq+vLyYnJ4vztN++fRuPHz+O9+/fF02y+/v7v9kZDj9D5shN5qiC3JGTvAEA0Ahps9j6+np0d3dHZ2dnOQt/JoU+oCmln6Znz57F1tZWPHjwoOjhkhaInjx5Enfv3o3t7e14+fJl3Lt3L8bHx+Pq1avlJ+FsZI7cZI4qyB05yRsAAEDjXfjrWDkGaBqpR0ta+Em7um/evFnMpV3f6ez7p0+fFvenp6djcHCwmIfzkjlykzmqIHfkJG8AAACNp0cf0JTS3+/Tdf369XLms/S6p6cnZmdno7e3N1paWso7cD4yR24yRxXkjpzkDQAAoPEU+oCm1dr6/Z+oNP+je3AeMkduMkcV5I6c5A0AAKCxPFkBTevTp09xcHAQu7u7X670Ou0M39vb+9f8/v5+0QcGzkPmyE3mqILckZO8AQAANFbL8YOUJymg6aTFnrm5uXj37l0589+6urri4cOHceXKlXIGfo7MkZvMUQW5Iyd5AwAAaDyFPqAppZ+mtNs77QI/jXT00+XLl/V44cxkjtxkjirIHTnJGwAAQOMp9AEAAAAAAEAN6dEHAAAAAAAANaTQBwAAAAAAADWk0AcAAAAAAAA1pNAHAAAAAAAANaTQBwAAAAAAADWk0AcAAAAAAAA1pNAHAAAAAAAANaTQBwAAAAAAADWk0AcAAAAAAAA1pNAHAAAAAAAANaTQBwAAAAAAADWk0AcAAAAAAAA1pNAHAAAAAAAANaTQBwAAAAAAADWk0AcAAAAAAAA1pNAHAAAAAAAAtRPxN8ZEPG6xsF9IAAAAAElFTkSuQmCC)"
      ],
      "metadata": {
        "id": "jyns806DXtFi"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Module 4**"
      ],
      "metadata": {
        "id": "mVNB8eRDYBfZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df=pd.DataFrame({'a':[1,2,1],'b':[1,1,1]})\n",
        "df['a']==1 \n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AWQ27GsDbCeC",
        "outputId": "4f48a4a8-44f0-4896-ee1a-7f5604de7162"
      },
      "execution_count": 75,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0     True\n",
              "1    False\n",
              "2     True\n",
              "Name: a, dtype: bool"
            ]
          },
          "metadata": {},
          "execution_count": 75
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "![Avance modulo 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}