ExcelR_Python_1.ipynb

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    {
      "cell_type": "markdown",
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        "id": "view-in-github",
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        "<a href=\"https://colab.research.google.com/github/KanchanCS/Python_pratics/blob/main/ExcelR_Python_1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "hello\n"
          ]
        }
      ],
      "source": [
        "print(\"hello\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n"
      ],
      "metadata": {
        "id": "7zgdSJV9hx8G"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import files"
      ],
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        "id": "4ySudIZ3hyL7"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "uploaded = files.upload()"
      ],
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          "height": 73
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              "\n",
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              "        style=\"border:none\" />\n",
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              "      Upload widget is only available when the cell has been executed in the\n",
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              "      </output>\n",
              "      <script>// Copyright 2017 Google LLC\n",
              "//\n",
              "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
              "// you may not use this file except in compliance with the License.\n",
              "// You may obtain a copy of the License at\n",
              "//\n",
              "//      http://www.apache.org/licenses/LICENSE-2.0\n",
              "//\n",
              "// Unless required by applicable law or agreed to in writing, software\n",
              "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
              "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
              "// See the License for the specific language governing permissions and\n",
              "// limitations under the License.\n",
              "\n",
              "/**\n",
              " * @fileoverview Helpers for google.colab Python module.\n",
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              "// Max number of bytes which will be uploaded at a time.\n",
              "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
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              "  const steps = uploadFilesStep(inputId, outputId);\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  // Cache steps on the outputElement to make it available for the next call\n",
              "  // to uploadFilesContinue from Python.\n",
              "  outputElement.steps = steps;\n",
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              "  return _uploadFilesContinue(outputId);\n",
              "}\n",
              "\n",
              "// This is roughly an async generator (not supported in the browser yet),\n",
              "// where there are multiple asynchronous steps and the Python side is going\n",
              "// to poll for completion of each step.\n",
              "// This uses a Promise to block the python side on completion of each step,\n",
              "// then passes the result of the previous step as the input to the next step.\n",
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              "\n",
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              " * process.\n",
              " * @param {string} inputId Element ID of the input file picker element.\n",
              " * @param {string} outputId Element ID of the output display.\n",
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              "\n",
              "  // Wait for the user to pick the files.\n",
              "  const files = yield {\n",
              "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
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              "                                    'n/a'} - `));\n",
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              "\n",
              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
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              "\n",
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              "      yield {\n",
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              "\n",
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              "          100 :\n",
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              "\n",
              "scope.google = scope.google || {};\n",
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              "  _uploadFiles,\n",
              "  _uploadFilesContinue,\n",
              "};\n",
              "})(self);\n",
              "</script> "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving Salaries (3).csv to Salaries (3).csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data = pd.read_csv(\"Salaries (3).csv\")"
      ],
      "metadata": {
        "id": "Pc0bQUtmnYv3"
      },
      "execution_count": null,
      "outputs": []
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        "data"
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      "execution_count": null,
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              "         rank discipline  phd  service     sex  salary\n",
              "0        Prof          B   56       49    Male  186960\n",
              "1        Prof          A   12        6    Male   93000\n",
              "2        Prof          A   23       20    Male  110515\n",
              "3        Prof          A   40       31    Male  131205\n",
              "4        Prof          B   20       18    Male  104800\n",
              "..        ...        ...  ...      ...     ...     ...\n",
              "73       Prof          B   18       10  Female  105450\n",
              "74  AssocProf          B   19        6  Female  104542\n",
              "75       Prof          B   17       17  Female  124312\n",
              "76       Prof          A   28       14  Female  109954\n",
              "77       Prof          A   23       15  Female  109646\n",
              "\n",
              "[78 rows x 6 columns]"
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              "      <td>109954</td>\n",
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              "      <td>A</td>\n",
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              "      <td>15</td>\n",
              "      <td>Female</td>\n",
              "      <td>109646</td>\n",
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      "outputs": [
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         rank discipline  phd  service     sex  salary\n",
              "62  AssocProf          B   14        7  Female  109650"
            ],
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              "      <td>Female</td>\n",
              "      <td>109650</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1cbfc243-5ffd-4d06-ab50-25bfe47f2bc5')\"\n",
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              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
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              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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      "execution_count": null,
      "outputs": [
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          "data": {
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              "   rank discipline  phd  service   sex  salary\n",
              "0  Prof          B   56       49  Male  186960\n",
              "1  Prof          A   12        6  Male   93000\n",
              "2  Prof          A   23       20  Male  110515\n",
              "3  Prof          A   40       31  Male  131205\n",
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              "                                                     [key], {});\n",
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          "data": {
            "text/plain": [
              "         rank discipline  phd  service     sex  salary\n",
              "73       Prof          B   18       10  Female  105450\n",
              "74  AssocProf          B   19        6  Female  104542\n",
              "75       Prof          B   17       17  Female  124312\n",
              "76       Prof          A   28       14  Female  109954\n",
              "77       Prof          A   23       15  Female  109646"
            ],
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-41b278ea-998e-4d8c-95cc-4762baa765ea');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
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          "metadata": {},
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rXdpOE5dxcqR",
        "outputId": "5df20897-4f2f-4524-a64d-5fdad944e7e4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(78, 6)"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "25//3, 24%3"
      ],
      "metadata": {
        "id": "I3VNKgRfxqFG",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "64c7b1a1-c7e5-4a26-f15a-256f39e02089"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(8, 0)"
            ]
          },
          "metadata": {},
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "25%8, 25//8"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8uroW7BsJGlb",
        "outputId": "5f1d604a-9474-48a3-868d-baf256c6e953"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1, 3)"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "2-4"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "n9LL1e6kJGu9",
        "outputId": "8ecd4b9c-2ae8-43a7-e622-21c78c8ba676"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "-2"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "2+4"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "caTFnZGRJGxb",
        "outputId": "84cddde4-57ef-4ca6-e763-95adc2520bf3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "6"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "2*4"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "f4LfB3wgJGzM",
        "outputId": "5a823640-3ee0-4944-986d-4962c160235c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "8"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "2**4"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YJ5Dgfc8JG1_",
        "outputId": "08c5e416-a318-46cf-c0e6-0a02b621a7bc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "16"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "a = 2\n",
        "b = 3.3\n",
        "c = a*b\n",
        "d = 3.3\n"
      ],
      "metadata": {
        "id": "4_eFPcgTJG5Y"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "d"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oDEG4_P5NY3F",
        "outputId": "a1392744-c6c0-4a97-90dd-717252b1eb6c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3.3"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "a==a"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "964XMyCtNanp",
        "outputId": "57b80ee6-f1cc-4a15-e72e-9cd49d821aec"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "a==b"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "80Apz_3hOBOn",
        "outputId": "2a11231a-8892-488f-94cf-ca7501831786"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import math"
      ],
      "metadata": {
        "id": "BXAvDGwmOFAN"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "math.isclose(a,b)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vs-TbkllOZOn",
        "outputId": "df600736-0336-4b37-d34d-e2f3f60f5482"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "yzYgjlaqOhOR"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "a = 12\n",
        "a = 2\n",
        "a"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VBy-jlEfO6z1",
        "outputId": "28372dd5-8675-496b-8fab-38f24486bdc7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "3+2,2+5,4*5,6*8"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "M5Pu0rUVWqVw",
        "outputId": "a26a6677-b9a4-43e0-9eca-40a2dfec61e8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(5, 7, 20, 48)"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "a = \"sring\"\n",
        "(type(a))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e5JhSJYqXDzX",
        "outputId": "b5a70c9f-c8d8-4a1d-cd53-680dc0c1f6a9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "str"
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "a= 1\n",
        "(type(a))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "I0A1czPGZ_QE",
        "outputId": "9f2d02ff-8596-4b7f-97cd-644ed0d81301"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "int"
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "a = 1.1\n",
        "(type(a))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ld1oy5Dparkt",
        "outputId": "a8959de1-e323-4ff1-a9bd-ad00d48fcd24"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "float"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "a = \"1ab\"\n",
        "(type(a))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UjzpVHepauEn",
        "outputId": "4cf2181b-4b8e-468c-eb8f-717bec65c27e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "str"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x = 3+5j\n",
        "(type(x))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zpDTylf4fpHl",
        "outputId": "1de46567-e25d-4190-f31c-d711ffb081a4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "complex"
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## *01/06/2023*\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "-RnpEr0M094X"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "True or False"
      ],
      "metadata": {
        "id": "EOF4nzdOf80H",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b830df99-5cb5-4562-e58c-bacf7c37daa1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "True and False"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8Att99uy1G0U",
        "outputId": "a34a405b-51e4-44a5-f79c-de8fc72171df"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "True and False or True"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MtfW-ecG1XgK",
        "outputId": "51b83ba2-3612-4966-a05b-2b8252922df2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "False and (False or True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XVPHZIP61kEc",
        "outputId": "17e34527-ace8-4875-da98-6c17c32ced53"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "False or False and True"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UX_cSceE1qvc",
        "outputId": "3ee6df6d-662a-406d-f20c-31f0e611e815"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "True or False and True"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HhptQyvJ2hTu",
        "outputId": "03e75c0c-a34a-43f2-a764-b034c5add28f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## List\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "yziN90t690j_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Mylist =[1,2,3,4,3,4,5,6]\n",
        "print(Mylist)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "afT3IX4B2-co",
        "outputId": "f9670093-6f2d-4d5a-c0fb-800256b85592"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[1, 2, 3, 4, 3, 4, 5, 6]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### slicing"
      ],
      "metadata": {
        "id": "U3j7Ln1J-jgK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Mylist[0:3]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AYyy_DCk80SU",
        "outputId": "a9e3e1ef-9861-4787-c528-e4bc2c1d7309"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[1, 2, 3]"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Mylist[:2]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mWSgVvdJ9EIz",
        "outputId": "33fc5d4d-21ca-48d2-d063-d595850a3d1b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[1, 2]"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Mylist[0:5]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VqGHWhd99PDb",
        "outputId": "cb6ad4e7-a6fe-4cf2-dc8a-b5c1a89d6e59"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[1, 2, 3, 4, 3]"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "PHSEyBRy_Obi"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 02/06/23"
      ],
      "metadata": {
        "id": "PDLB8BRb_QJA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "list1 = [12,23,34,45,67]\n",
        "list1"
      ],
      "metadata": {
        "id": "JQ_ysykP9cHs",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9537ad0f-d006-4d40-9a4b-e14f1c310f40"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[12, 23, 34, 45, 67]"
            ]
          },
          "metadata": {},
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Cocate"
      ],
      "metadata": {
        "id": "UHWQpsmT_4er"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "list2 = [1,2,3,4,5]\n",
        "list3 = list1 + list2 \n",
        "list3 \n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OCtp8dne_cXF",
        "outputId": "3be46d58-c9d8-418c-d58c-e8ca3804a22f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[12, 23, 34, 45, 67, 1, 2, 3, 4, 5]"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Append()"
      ],
      "metadata": {
        "id": "XyvV2aUc_9VM"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "list2.append(231)\n",
        "list2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WkCsbH9X_y7m",
        "outputId": "136bb540-e081-4e5f-8c37-becd1bb66e05"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[1, 2, 3, 4, 5, 231]"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "list2.append(\"xyz\")\n",
        "list2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ET9jBJBTASEa",
        "outputId": "13c75083-6b3b-4cc5-a7db-d97e111e6e44"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[1, 2, 3, 4, 5, 231, 'xyz']"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Min, Max, length, sum"
      ],
      "metadata": {
        "id": "bLoVdrj2AmEE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "list1_min_value = min(list1)\n",
        "list1_max_value = max(list1)\n",
        "list1_sum_value = sum(list1)\n",
        "list1_len_value = len(list1)\n",
        "print(list1_min_value)\n",
        "print(list1_max_value)\n",
        "print(list1_sum_value)\n",
        "print(list1_len_value)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rCKvEfBlAkD1",
        "outputId": "e973639d-c7f3-40bb-d9ef-98ff669a86bf"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "12\n",
            "67\n",
            "181\n",
            "5\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "ZtYowjEjAzqO"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Index, Delete, Remove, POP, Clear, Insert,Reverse()"
      ],
      "metadata": {
        "id": "zyXC3dI9Cnsb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "list4 = [11,23,45,67,45,\"ds\"]\n",
        "list4.reverse()\n",
        "list4"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sl2xyzNGCsOh",
        "outputId": "33547be1-5667-4255-d486-868a299c2148"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['ds', 45, 67, 45, 23, 11]"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "wqj6JAf8HECa"
      },
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