{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "String Concatenation Exercise Answers.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyMZp0Lhd5RkFGA4M435V3CX",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/Tanu-N-Prabhu/Python/blob/master/String_Concatenation_Exercise_Answers.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AxubPEz8qhL1"
      },
      "source": [
        "# **String Concatenation Exercise Answers**\r\n",
        "\r\n",
        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l1IpjylnyCNPmIME4haMyBBpEUBCKJ4N6SquiBxVr5IZSdYpmpUq8K0rVp2vho5A28V39igjIV8RDmcAnGsGNPD4UF4RaROAWB2QQnRq0NExxOhRRhLzWAc2rElkMlwfBwbDbH6PcGEBvUPcBhOACnjKGDmqFyny/hco+5kgkfrevsDBB900I7rYXmtX7a3EORnz4M4Gw/29xDZgFjnTMEF5wZ8jmvZUfPDBCdaKvdX/ACvPfygIRoH5Qae8D8q5hpS9eEjDgXFAAg9xywgCyiZgenWJxgza0AEBAe5YQW4C8q1xkj0hViYFRsGTge6ABEEbypBpYu6naV6AKifkb2rKDNxfdcSI50yWOi+g53nEehlyKtVg+2o5nzLX3eg3lXCDnYp0qmpXYA1fnxk9quIalQ5NDIE/FXB9yr+GppVy0JpeQvm0VBnI/wDiT//Z)\r\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ozB4bXzuqkj7"
      },
      "source": [
        "## **Answers**\r\n",
        "\r\n",
        "\r\n",
        "\r\n",
        "### **1. Create a variable and assign it the phrase `Python Programming` by concatenating the strings `Python` and `Programming`**\r\n",
        "\r\n",
        "\r\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iKLNEoqIqspL",
        "outputId": "c385a115-6319-4662-9224-200bb6aba0eb"
      },
      "source": [
        "# String Concatenation using '+'\r\n",
        "value = \"Python\" + \" \" + \"Programming\"\r\n",
        "print(value)"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Python Programming\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N9GBlaUAsr9N"
      },
      "source": [
        "\r\n",
        "\r\n",
        "---\r\n",
        "\r\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aRzfLmhvq9lk"
      },
      "source": [
        "### **2. Create a variable and assign it the integer `20`**\r\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lm3pyMhoq-CN"
      },
      "source": [
        "# Assignment 20 to the variable integer\r\n",
        "integer = \"20\""
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TTot-8z1ss55"
      },
      "source": [
        "\r\n",
        "\r\n",
        "---\r\n",
        "\r\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AXBmW7HprFrw"
      },
      "source": [
        "### **3. Create a variable and assign it the integer `19`**\r\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6vKiBFG4rGP7"
      },
      "source": [
        "# Assignment 19 to the variable integer2\r\n",
        "integer2 = \"19\""
      ],
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f7bYcRKastd0"
      },
      "source": [
        "\r\n",
        "\r\n",
        "---\r\n",
        "\r\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_N5_k-tprMpG"
      },
      "source": [
        "### **4. Create a variable and use the variables from steps 2 and 3 and string concatenation to assign it the string `2019`**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eyxkWxS4rNGH",
        "outputId": "06544e58-7c74-46c8-a350-3b4c8c27ad67"
      },
      "source": [
        "# Concatenating step 2 and step 3\r\n",
        "result = integer + integer2\r\n",
        "print(result)"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2019\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jYJ5TLxzsHmP"
      },
      "source": [
        "**Or this can be concatenated using `formatting` style too..**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gjtaoQyWsPc0"
      },
      "source": [
        "integer = 20\r\n",
        "integer2 = 19"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TGoCAu1Pr-3n",
        "outputId": "a0077d85-e220-4df6-fd30-d7b454b26d31"
      },
      "source": [
        "# Type casting into integer\r\n",
        "result = int('%d%d' % (integer, integer2))\r\n",
        "result"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2019"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "K5QGGuatsd6K"
      },
      "source": [
        "\r\n",
        "\r\n",
        "---\r\n",
        "\r\n"
      ]
    }
  ]
}