Notebooks/01-Python-Numpy/Introduction to Python.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "###### Notebook Template is borrowed from SBU-CE Machine Learning course - Fall 2022"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nCwJd3IVz8HA"
      },
      "source": [
        "# import libraries"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0GFtpEPGdaCe",
        "outputId": "0832845b-866e-49e3-ce84-497b4aac4ca5"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (1.25.2)\n"
          ]
        }
      ],
      "source": [
        "!pip install numpy"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hLjDDu9B5ldU"
      },
      "source": [
        "This is a markdown text!"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "wWolpOiwxvda"
      },
      "outputs": [],
      "source": [
        "import numpy\n",
        "import numpy as np\n",
        "\n",
        "from math import pi\n",
        "from math import *\n",
        "import keyword"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "FqiVzVKW6dP5"
      },
      "outputs": [],
      "source": [
        "numpy.sum()\n",
        "np.sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Dz5Z4YuXyDcM",
        "outputId": "3612cec2-4e59-4095-d5c1-a900cc4126c9"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "3.141592653589793"
            ]
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "pi"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "C-KJI7WvyE6C",
        "outputId": "1d742a82-d681-421c-8d65-fba5ca6585cf"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "2.0"
            ]
          },
          "execution_count": 3,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "sqrt(4)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hRFxgoC-0bcl"
      },
      "source": [
        "# keyword"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-io-J8k5zyit"
      },
      "source": [
        "introduction to basic syntax and data types"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2CVUyTa0zrUj",
        "outputId": "7394a0bb-a57e-4412-9160-bd6d87043388"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "['False',\n",
              " 'None',\n",
              " 'True',\n",
              " 'and',\n",
              " 'as',\n",
              " 'assert',\n",
              " 'async',\n",
              " 'await',\n",
              " 'break',\n",
              " 'class',\n",
              " 'continue',\n",
              " 'def',\n",
              " 'del',\n",
              " 'elif',\n",
              " 'else',\n",
              " 'except',\n",
              " 'finally',\n",
              " 'for',\n",
              " 'from',\n",
              " 'global',\n",
              " 'if',\n",
              " 'import',\n",
              " 'in',\n",
              " 'is',\n",
              " 'lambda',\n",
              " 'nonlocal',\n",
              " 'not',\n",
              " 'or',\n",
              " 'pass',\n",
              " 'raise',\n",
              " 'return',\n",
              " 'try',\n",
              " 'while',\n",
              " 'with',\n",
              " 'yield']"
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "keyword.kwlist"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jXWkfFCLbaNg"
      },
      "source": [
        "# Operators"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "id": "ALP703tsbcB0"
      },
      "outputs": [],
      "source": [
        "a = 4\n",
        "b = 6"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KpudvU-jbhUz",
        "outputId": "9394f805-ee32-4470-b210-63f1bfd27693"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "10"
            ]
          },
          "execution_count": 14,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "a + b"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JgeaHvzx765d",
        "outputId": "691b7602-f8d2-478d-9691-1b62330e76b7"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Hello!\n",
            "<class 'str'>\n"
          ]
        }
      ],
      "source": [
        "a = \"Hello!\"\n",
        "print(a)\n",
        "print(type(a))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "U_RaNIFKc60p",
        "outputId": "45a32f76-d599-4e0d-a2cc-4f603a55b472"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "1.5"
            ]
          },
          "execution_count": 15,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "b / a"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mk9R62x3c8qy",
        "outputId": "8f735938-1ad8-4e84-d360-11ff4a4758d2"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "1"
            ]
          },
          "execution_count": 16,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "b // a"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xrR2S1RLdHKL",
        "outputId": "2740f303-6bbf-481c-dba7-39f70d97aca8"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "2"
            ]
          },
          "execution_count": 17,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "b % a"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cdyt_P5tdEKB",
        "outputId": "9a4ce093-33e2-44bb-fdb2-4883eeb0e1aa"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "1048576"
            ]
          },
          "execution_count": 20,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "a ** 10"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IzAaJBlTdVzX",
        "outputId": "fad44792-22e0-4b63-e772-4fbff6a1ab95"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "False"
            ]
          },
          "execution_count": 21,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "a == b"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "REkMkjOL86dz",
        "outputId": "5df349f7-ae94-4806-cc17-3a776d275bfe"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "execution_count": 22,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "a,b = 4,4\n",
        "a == b"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vUkvutRFdZQR",
        "outputId": "a3ee3514-bd4c-46c7-8c59-5c27755c18e2"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "execution_count": 25,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "a != b"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "id": "d9qk_zgE9IWB"
      },
      "outputs": [],
      "source": [
        "a,b = 4, 6"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ew-hRvKHdbbx",
        "outputId": "a600df01-32fd-4240-873c-7f774aa934d0"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "execution_count": 26,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "a < b"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "doGvH-cXdfyr",
        "outputId": "dc2914a8-a84a-40d5-a848-75e77d2623d6"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "execution_count": 27,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "a >= 4"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KNL9mDs91wLd"
      },
      "source": [
        "# identifiers"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "5BFr2QcJyifk"
      },
      "outputs": [],
      "source": [
        "# 1a = 1\n",
        "# a@ = 1\n",
        "# def = 4\n",
        "\n",
        "var_1 = 4\n",
        "def_var = 5"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "O0zbv0KT18KG"
      },
      "source": [
        "# comments"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "id": "3R1H9gYhywla"
      },
      "outputs": [],
      "source": [
        "# single line\n",
        "\n",
        "a = \"\"\"\n",
        "this\n",
        "is\n",
        "a\n",
        "multi\n",
        "line\n",
        "comment\n",
        "\"\"\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NI-K4RCH952C",
        "outputId": "67e02e37-ed7c-4ff8-cd57-dd9e6f42b8ca"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "this\n",
            "is\n",
            "a\n",
            "multi\n",
            "line\n",
            "comment\n",
            "\n"
          ]
        }
      ],
      "source": [
        "print(a)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cgU5VeYE1-ae"
      },
      "source": [
        "# statements"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "id": "Ot9iyj9G17aB"
      },
      "outputs": [],
      "source": [
        "p = 10 + 20"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wVrz5jSIz4gi",
        "outputId": "a6f915bf-198d-4fce-fd4f-2e6082cc3bf3"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "40"
            ]
          },
          "execution_count": 33,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "p = 10 \\\n",
        "    + 30\n",
        "p"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8cs1DHGi0BR5"
      },
      "source": [
        "# variables"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "SqmLtCFZ0O1Q"
      },
      "outputs": [],
      "source": [
        "var = 30"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DAqFv1uG0YOi",
        "outputId": "e4762f79-2f06-443a-a129-cc75d68441f6"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "94558022151584"
            ]
          },
          "execution_count": 20,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "id(var)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "h4SzWkfY0afB",
        "outputId": "7e4639ac-137a-49b7-ade0-c058e49645ab"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'0x560001522da0'"
            ]
          },
          "execution_count": 21,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "hex(id(var))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9EPQqvbn0faS",
        "outputId": "f5f2ccaa-9f3d-485b-f384-857385b8d643"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "int"
            ]
          },
          "execution_count": 22,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "type(var)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "36KgktlE1LHQ"
      },
      "source": [
        "## numeric"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {
        "id": "kL_8Zyli0i45"
      },
      "outputs": [],
      "source": [
        "# integer data type\n",
        "var_int = 10\n",
        "# float data type\n",
        "var_float = 10.0\n",
        "# complex data type\n",
        "var_cmplex = 10 + 1j"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2KaJ7UBv0sjY",
        "outputId": "b1a0a3c0-fb4f-4839-823c-130ee33bac7a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'int'>\n",
            "<class 'float'>\n",
            "<class 'complex'>\n"
          ]
        }
      ],
      "source": [
        "print(type(var_int))\n",
        "print(type(var_float))\n",
        "print(type(var_cmplex))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YD3yKcGl1roS"
      },
      "source": [
        "## boolean"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "id": "0Hfy8FqT1tih"
      },
      "outputs": [],
      "source": [
        "var_t = True\n",
        "var_f = False"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vALBLRS912qW",
        "outputId": "265e270d-2893-4b14-8aa7-0c8f4dd0f739"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'bool'>\n",
            "<class 'bool'>\n"
          ]
        }
      ],
      "source": [
        "print(type(var_t))\n",
        "print(type(var_f))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 40,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "f5ptKWIG190i",
        "outputId": "25fdaccf-4961-463b-de4f-45eef8017c21"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "three\n"
          ]
        }
      ],
      "source": [
        "if -1:\n",
        "  print('three')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 41,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7hzlKquG2FcW",
        "outputId": "96f204e2-5e14-4abf-f841-8b3e0e702068"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "execution_count": 41,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "bool(1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pgF2kIjd2IbB",
        "outputId": "d257b999-13e0-47ea-8efe-97d620deebae"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(False, False)"
            ]
          },
          "execution_count": 42,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "bool(0), bool(None)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KdghfuaR2RRh"
      },
      "source": [
        "## string"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "metadata": {
        "id": "CJJx2kmd2Sq1"
      },
      "outputs": [],
      "source": [
        "var_str = 'my string'"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 48,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "cVA0HDiE2YUZ",
        "outputId": "5c8d6e3d-7b83-4533-a0f5-051436a9a66b"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "' '"
            ]
          },
          "execution_count": 48,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "var_str[2]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 51,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "Cj3ZCxUS2elA",
        "outputId": "1490dde2-d3bb-4f09-bef4-cb39681f58ee"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'string'"
            ]
          },
          "execution_count": 51,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# string slicing\n",
        "var_str[3:9]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 52,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "VVLWDxLz2kOh",
        "outputId": "cfb439b4-371e-4c7c-c5c9-50f53d00b9a9"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'n'"
            ]
          },
          "execution_count": 52,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "var_str[-2]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 53,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uGgNbgAW2sMR",
        "outputId": "1395692b-1d6b-4ce4-9293-d0aa25402091"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "('in', 'ing')"
            ]
          },
          "execution_count": 53,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "var_str[-3:-1], var_str[-3:]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 54,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KGCMdg1R__4d",
        "outputId": "50d4d5e2-788c-4f2e-f6a4-688defadb06f"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "('b', 'ab', 'cde', 'abcde')"
            ]
          },
          "execution_count": 54,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "a= 'abcde'\n",
        "a[1:2], a[:2], a[2:], a[:]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 60,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pYRsqErGAc6v",
        "outputId": "0736a6fa-963d-47e2-aeb6-dcffaa3c674b"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "([2], [1, 2], [3, 4], [1, 2, 3, 4])"
            ]
          },
          "execution_count": 60,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "a= [1,2,3,4]\n",
        "a[1:2], a[:2], a[2:], a[:]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 62,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tGrJCZp9BJr_",
        "outputId": "04e5b257-f0f6-4953-94e2-382aad7146d0"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[1, -4, 3, 4]"
            ]
          },
          "execution_count": 62,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "a[1]= -4\n",
        "a"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 63,
      "metadata": {
        "id": "CUg_2cxX22dR"
      },
      "outputs": [],
      "source": [
        "str1 = 'hello'\n",
        "str2 = ' sara'"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 64,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "DVNTAFWD2_XT",
        "outputId": "4bbeb9ea-fdbf-4e6c-f285-ec8005b304b6"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'hello sara'"
            ]
          },
          "execution_count": 64,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "str1 + str2"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 65,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 141
        },
        "id": "se1qq20Y3Jhw",
        "outputId": "51533aaa-3dcb-44e7-f997-7b8588914761"
      },
      "outputs": [
        {
          "ename": "TypeError",
          "evalue": "'str' object does not support item assignment",
          "output_type": "error",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-65-5a0bb08d258b>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mstr2\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m't'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;31mTypeError\u001b[0m: 'str' object does not support item assignment"
          ]
        }
      ],
      "source": [
        "str2[0] = 't'"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "M8zn83zS0DTk"
      },
      "source": [
        "# if"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 73,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IoxoqnS74kyA",
        "outputId": "a30abcb3-2cbb-4f7f-8708-7c1fb71446fe"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "a is 3\n",
            "a was 3\n",
            "a is now 4\n",
            "after if\n"
          ]
        }
      ],
      "source": [
        "a = 3\n",
        "\n",
        "if a==3:\n",
        "  print(\"a is 3\")\n",
        "  print(\"a was 3\")\n",
        "  a= 4\n",
        "  if a==4:\n",
        "    print(\"a is now 4\")\n",
        "\n",
        "print(\"after if\")\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 80,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LoUrWDkCCo12",
        "outputId": "3b91440e-3a23-471f-a14a-75d30bcbcc43"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "a is something else\n"
          ]
        }
      ],
      "source": [
        "a = 5\n",
        "if a == 3:\n",
        "    print(\"a is 3\")\n",
        "elif a == 4:\n",
        "    print(\"a is 4\")\n",
        "else:\n",
        "    print(\"a is something else\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 96,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OOhhZMW1G3PD",
        "outputId": "dc38cf65-7837-40ab-e236-d11a829d30c6"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Python 3.10.12\n"
          ]
        }
      ],
      "source": [
        "!python --version"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Qp3nPBKBBdAH"
      },
      "outputs": [],
      "source": [
        "if"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 97,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pXhw0nKODo1W",
        "outputId": "35a1c032-b8a3-4179-830d-71a499f726ae"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "You can become a Data Scientist\n"
          ]
        }
      ],
      "source": [
        "#lang = input(\"What's the programming language you want to learn? \")\n",
        "lang = \"Python\"\n",
        "\n",
        "match lang:\n",
        "    case \"JavaScript\":\n",
        "        print(\"You can become a web developer.\")\n",
        "\n",
        "    case \"Python\":\n",
        "        print(\"You can become a Data Scientist\")\n",
        "\n",
        "    case \"PHP\":\n",
        "        print(\"You can become a backend developer\")\n",
        "\n",
        "    case \"Solidity\":\n",
        "        print(\"You can become a Blockchain developer\")\n",
        "\n",
        "    case \"Java\":\n",
        "        print(\"You can become a mobile app developer\")\n",
        "    case _:\n",
        "        print(\"The language doesn't matter, what matters is solving problems.\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 86,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QdUAL7kADzlC",
        "outputId": "4359481a-cce7-40c5-a3a1-b802df8ddbd8"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Python 3.10.12\n"
          ]
        }
      ],
      "source": [
        "!python --version"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 99,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oQ0uEOMqHcc-",
        "outputId": "585e016c-18c7-4139-9c76-252aa6870209"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "anscombe.json\t\t     california_housing_train.csv  mnist_train_small.csv\n",
            "california_housing_test.csv  mnist_test.csv\t\t   README.md\n"
          ]
        }
      ],
      "source": [
        "!ls ./sample_data"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ezca5eXR0IS0"
      },
      "source": [
        "# loop"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 106,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eN-IISSWICsD",
        "outputId": "a0b8e670-5bc4-40e2-ef51-f1c811375be8"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "0\n",
            "2\n",
            "4\n",
            "6\n",
            "8\n"
          ]
        }
      ],
      "source": [
        "i = 0\n",
        "while i < 10:\n",
        "    if i%2==0:\n",
        "        print(i)\n",
        "    i+= 1 # i = i +1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 111,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "N18W-qwbIsPt",
        "outputId": "e6849d49-a675-4884-ab9c-e2237a1efe52"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "1\n",
            "3\n",
            "5\n",
            "7\n",
            "9\n"
          ]
        }
      ],
      "source": [
        "for i in range(1,11,2):\n",
        "    print(i)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 112,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zmfru8Hx5EN3",
        "outputId": "9f50d310-5e53-49e1-f403-11c538648190"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "0\n",
            "1\n",
            "2\n",
            "3\n"
          ]
        }
      ],
      "source": [
        "a = range(4)\n",
        "for i in a:\n",
        "    print(i)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 113,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UUkRAm0bJvIZ",
        "outputId": "696edf6a-4273-41ce-9c57-5b5238679501"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "10\n",
            "20\n",
            "9\n",
            "40\n"
          ]
        }
      ],
      "source": [
        "a = [10,20,9,40]\n",
        "for i in a:\n",
        "    print(i)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 117,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dNvdzb-CJ-ON",
        "outputId": "8b5cbe33-d713-43f7-df56-472b47a6951b"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "H\n",
            "e\n",
            "l\n",
            "l\n",
            "o\n",
            "!\n"
          ]
        }
      ],
      "source": [
        "a= \"Hello!\"\n",
        "for i in a:\n",
        "    print(i)\n",
        "#for i in range(len(a)):\n",
        "#    print(a[i])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 119,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1_9ss-AB5rwZ",
        "outputId": "ed03e980-23f6-4640-953a-12139b625ef6"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "0 p\n",
            "1 y\n",
            "2 t\n",
            "3 h\n",
            "4 o\n",
            "5 n\n"
          ]
        }
      ],
      "source": [
        "str1 = 'python'\n",
        "for idx, letter in enumerate(str1):\n",
        "  print(idx, letter)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 120,
      "metadata": {
        "id": "XR9vxM1_58A2"
      },
      "outputs": [],
      "source": [
        "list1 = [1,2,3,4]\n",
        "list2 = ['a', 'b', 'c', 'd']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CChpWCIg6D2H",
        "outputId": "bc9847f6-6489-4693-8e68-02a069835a76"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "(1, 'a')\n",
            "(2, 'b')\n",
            "(3, 'c')\n",
            "(4, 'd')\n"
          ]
        }
      ],
      "source": [
        "for i in zip(list1, list2):\n",
        "  print(i)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 128,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 158
        },
        "id": "OZs3ufH-KtsW",
        "outputId": "9f9f140a-3818-480e-bce1-248b03807bdd"
      },
      "outputs": [
        {
          "ename": "TypeError",
          "evalue": "'tuple' object does not support item assignment",
          "output_type": "error",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-128-e9d884140c74>\u001b[0m in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0ma\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m8\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0ma\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m7\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;31mTypeError\u001b[0m: 'tuple' object does not support item assignment"
          ]
        }
      ],
      "source": [
        "a = (1,2,8)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 129,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xjYGc6gM5eOo",
        "outputId": "d27381cb-2b7a-49cc-ce9c-744fb66fad05"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "10\n"
          ]
        }
      ],
      "source": [
        "a = 0\n",
        "while a!=10:\n",
        "  a +=1\n",
        "\n",
        "print(a)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 136,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3vW4lSrcLpLW",
        "outputId": "cafc88be-114a-49b3-9142-9a7556f6b2b1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "a is equal 10 and b is 20\n"
          ]
        }
      ],
      "source": [
        "a = 10\n",
        "b = 20\n",
        "print(\"a is equal {} and b is {}\".format(a,b))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gbp2LanG3nnq"
      },
      "source": [
        "# List"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 142,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yIJR8-BPDz-s",
        "outputId": "b39aae1c-62cd-41f6-ac6d-6e84f0fa0ffb"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'list'>\n",
            "created list: ['syntax', 'of', 'python', 'python']\n",
            "updated list: ['introduction', 'of', 'python', 'python']\n",
            "updated list: ['introduction', 'python', 'python']\n"
          ]
        }
      ],
      "source": [
        "# list creation\n",
        "my_list = []\n",
        "print(type(my_list))\n",
        "\n",
        "# add to list\n",
        "my_list.append('syntax')\n",
        "my_list.append('of')\n",
        "my_list.append('python')\n",
        "my_list.append('python')\n",
        "\n",
        "print('created list: {}'.format(my_list))\n",
        "\n",
        "# change the specified item\n",
        "my_list[0] = 'introduction'\n",
        "\n",
        "print('updated list: {}'.format(my_list))\n",
        "\n",
        "# remove from list\n",
        "#if \"python\" in my_list:\n",
        "    #my_list.remove('python')\n",
        "\n",
        "my_list.pop(1)\n",
        "print('updated list: {}'.format(my_list))\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 145,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rMrXvZu2EK_7",
        "outputId": "aea34523-dbf2-48ea-aef0-70cc0e03ccc9"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "1 <class 'int'>\n",
            "one <class 'str'>\n",
            "True <class 'bool'>\n"
          ]
        }
      ],
      "source": [
        "# different data types under a list\n",
        "my_list = [1, 'one', True]\n",
        "\n",
        "for i in my_list:\n",
        "    print(i, type(i))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1H2999udEeIT",
        "outputId": "108c6288-0582-4ad2-8560-d50cc514cb89"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "3"
            ]
          },
          "execution_count": 90,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# length of list\n",
        "len(my_list)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JAlGwLwsSCKF",
        "outputId": "490403f9-1d52-4c5c-99bf-0125428cfa06"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "execution_count": 91,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "'one' in my_list"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 146,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sbKIx-RcG1yy",
        "outputId": "8c216d84-8e60-43cd-b262-a140f72dcce0"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[1.99, 2, 3, 4]"
            ]
          },
          "execution_count": 146,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "unsorted_list = [3, 2, 1.99, 4]\n",
        "sorted(unsorted_list)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 159,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TbrzPTizRlvd",
        "outputId": "94b3fb16-0960-4550-f162-ca1dc62ffb8a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "[1, -1, 5, 4, 2, 7, 0, -2]\n",
            "[7, 5, 4, 2, 1, 0, -1, -2]\n"
          ]
        }
      ],
      "source": [
        "list1 = [1, -1, 5, 4]\n",
        "list2 = [2, 7, 0, -2]\n",
        "list3 = list1 + list2\n",
        "print(list3)\n",
        "list3.sort(reverse=True)\n",
        "print(list3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 148,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7I4EuOgaPkKX",
        "outputId": "1c988122-39ad-4c51-a542-61dc3e032cd2"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[7, 5, 4, 2, 1, 0, -1, -2]"
            ]
          },
          "execution_count": 148,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "list1 = [1, -1, 5, 4]\n",
        "list2 = [2, 7, 0, -2]\n",
        "list1.extend(list2)\n",
        "\n",
        "list1.sort(reverse=True)\n",
        "list1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bNHWnSHKR_zp",
        "outputId": "3544fd8e-32e6-4692-b0ec-84b143308d91"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[-2, -1, 0, 1, 2, 4, 5, 7]"
            ]
          },
          "execution_count": 101,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "list1.reverse()\n",
        "list1"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jpidRYLFTt9H"
      },
      "source": [
        "# tuple\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 200
        },
        "id": "omzGdyaeTwFU",
        "outputId": "bfbed910-6a70-4fdb-fe17-43dc52ca6e7e"
      },
      "outputs": [
        {
          "ename": "TypeError",
          "evalue": "ignored",
          "output_type": "error",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-102-20ba35cf8664>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mtuple1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mtuple1\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;31mTypeError\u001b[0m: 'tuple' object does not support item assignment"
          ]
        }
      ],
      "source": [
        "tuple1 = (1, 2, 3)\n",
        "\n",
        "# are immutable\n",
        "tuple1[0] = 1"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-YFyHKXmUNjV"
      },
      "source": [
        "# set"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 160,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NswynFB2UQnr",
        "outputId": "8693136d-1e69-4b89-a316-698d1fabec32"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "set"
            ]
          },
          "execution_count": 160,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "my_set = {'a', 'b', 'c', 'd'}\n",
        "type(my_set)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 161,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ge4o-LeoUdyu",
        "outputId": "57a7d1e7-41dc-4a85-a1e1-012a579f0682"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "{'a', 'b', 'c'}"
            ]
          },
          "execution_count": 161,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# set elements are unique\n",
        "my_set = {'a', 'b', 'c', 'a'}\n",
        "my_set"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "T7SFhibSVgp4",
        "outputId": "fc92219c-f71f-46ad-d144-f67fcd348223"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "False"
            ]
          },
          "execution_count": 51,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "'d' in my_set"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 162,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EhcNqSPSVlKu",
        "outputId": "c99fe4f2-c686-484e-cd21-fd69ec199a92"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "execution_count": 162,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# add element\n",
        "my_set.add('d')\n",
        "'d' in my_set"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 163,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "O9KCaUprVwI0",
        "outputId": "8e7ca8f5-b4be-4b61-f7e0-224d78dd2138"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "{'b', 'c', 'd'}"
            ]
          },
          "execution_count": 163,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# remove element\n",
        "my_set.remove('a')\n",
        "my_set"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uDHI04UhWFu_"
      },
      "source": [
        "# dictionary"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 164,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QjQfEwhuWIb1",
        "outputId": "fc39b1d7-6d3c-4bc0-f73b-ecc304728f3a"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "{}"
            ]
          },
          "execution_count": 164,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "my_dict = dict()\n",
        "my_dict = {}\n",
        "\n",
        "my_dict"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 169,
      "metadata": {
        "id": "rvO2Ua9jWXr4"
      },
      "outputs": [],
      "source": [
        "my_dict = {'name': 'Jack', 'age': 10, 10:20}"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 170,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lORUQ_9HPj8U",
        "outputId": "a29687dd-0c87-4c9c-b327-df5db4a20b92"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "{'name': 'Jack', 'age': 10, 10: 20}"
            ]
          },
          "execution_count": 170,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "my_dict"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lv5zsg1jXnck",
        "outputId": "778c37a7-bc61-42f1-e404-e9ff0eb41e08"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "dict_keys(['name', 'age'])"
            ]
          },
          "execution_count": 56,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "my_dict.keys()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 168,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OdVjto8VXpCj",
        "outputId": "37ddd220-990e-4bdf-ed3c-08ecb8ef7ff1"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "dict_values(['Jack', 10])"
            ]
          },
          "execution_count": 168,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "my_dict.values()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 171,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oHzw3rItXxVZ",
        "outputId": "96a6c256-8a00-42e7-f4ad-542c564ae61b"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "dict_items([('name', 'Jack'), ('age', 10), (10, 20)])"
            ]
          },
          "execution_count": 171,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "my_dict.items()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 172,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "mhkda692X-w9",
        "outputId": "c3110985-30b4-4bfd-fbb9-d23871315451"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'Jack'"
            ]
          },
          "execution_count": 172,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# access by kye\n",
        "# my_dict['name']\n",
        "my_dict.get('name')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 178,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ss6vQvP3QJzt",
        "outputId": "70882606-555d-4a00-ac39-987d81b92b08"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "None\n"
          ]
        }
      ],
      "source": [
        "if 'hello' in my_dict:\n",
        "    print(my_dict[\"hello\"])\n",
        "print(my_dict.get('hello'))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OM2jKLKvaLgM",
        "outputId": "67c081b4-638e-4104-aebf-00f4a0c49a41"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "{'address': 'downtown', 'age': 10, 'name': 'Jack'}"
            ]
          },
          "execution_count": 61,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# add item\n",
        "my_dict['address'] = 'downtown'\n",
        "my_dict"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 181,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QXEQYYkKbACC",
        "outputId": "6fd4bc87-e23e-43fd-af55-2e576c3f6ddd"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "{'name': 'Jack', 10: 20}"
            ]
          },
          "execution_count": 181,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# remove item\n",
        "#my_dict.pop('age')\n",
        "my_dict\n",
        "my_dict"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "r503LBSF2LT7"
      },
      "source": [
        "# functions\n",
        "\n",
        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)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 182,
      "metadata": {
        "id": "e2gdE9Zl1Bdt"
      },
      "outputs": [],
      "source": [
        "# implement function\n",
        "def factorial(n):\n",
        "    '''\n",
        "    Takes number n,\n",
        "    return n!\n",
        "    '''\n",
        "    if n == 0:\n",
        "       return 1\n",
        "\n",
        "    return n * factorial(n-1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "cfmgJsFHSAp2"
      },
      "outputs": [],
      "source": []
    },
    {
      "cell_type": "code",
      "execution_count": 183,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iT865kUoqyTl",
        "outputId": "88d37060-dbdb-4b0f-b274-849a8e27604c"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "120"
            ]
          },
          "execution_count": 183,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# call function\n",
        "factorial(5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 185,
      "metadata": {
        "id": "tz1A-PLUrSSg"
      },
      "outputs": [],
      "source": [
        "def print_name(data):\n",
        "    '''\n",
        "    Takes dictionary as person info,\n",
        "    print age of person (key)\n",
        "    '''\n",
        "    print('{} is {}.'.format(data['name'], data['age']))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "innQkYV-sX3N"
      },
      "source": [
        "person = {'name': 'Jack', 'age':10}\n",
        "print_name(person)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 187,
      "metadata": {
        "id": "BZXSQNwgSEBn"
      },
      "outputs": [],
      "source": [
        "# implement function\n",
        "def factorial(n):\n",
        "    '''\n",
        "    Takes number n,\n",
        "    return n!\n",
        "    '''\n",
        "    if n == 0:\n",
        "       return 0\n",
        "\n",
        "    return n * factorial(n-1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 188,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KXu-GopoSKd0",
        "outputId": "d98cce67-1d75-4667-ad47-7f4399a80e5c"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "execution_count": 188,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "factorial(10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 193,
      "metadata": {
        "id": "PPhqSuLxSiup"
      },
      "outputs": [],
      "source": [
        "def my_func(x):\n",
        "    if x == 1:\n",
        "        return\n",
        "    if x==2:\n",
        "        return 2\n",
        "    if x==3:\n",
        "        return 2,3,4"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 194,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iG5C2fNdSsmV",
        "outputId": "823936a4-6d58-40ab-f4db-3fa4b4a4bfc0"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "None\n",
            "2\n",
            "(2, 3, 4)\n"
          ]
        }
      ],
      "source": [
        "print(my_func(1))\n",
        "print(my_func(2))\n",
        "print(my_func(3))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 205,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eq7UyOexS98v",
        "outputId": "55749364-e333-4ab9-cca9-371ed6cec361"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "None\n",
            "[1, 2, 3]\n"
          ]
        }
      ],
      "source": [
        "my_list = []\n",
        "def my():\n",
        "    global my_list\n",
        "\n",
        "    my_list = [1,2,3]\n",
        "\n",
        "print(my())\n",
        "print(my_list)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oJfmUsEzrIBA"
      },
      "source": [
        "# class"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "l6o-fHn2u695"
      },
      "source": [
        "define person class"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 206,
      "metadata": {
        "id": "Bkw_LDUurCE9"
      },
      "outputs": [],
      "source": [
        "class Person:\n",
        "\n",
        "    def __init__(myy, name, age):\n",
        "        myy.name = name\n",
        "        myy.age = age\n",
        "    def introduce(myy):\n",
        "        print('Hi! I\\'m {}.'.format(myy.name))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 207,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aP5LFbvHtck0",
        "outputId": "8e11cfe4-31e8-4475-fa89-e242758b4967"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Hi! I'm Jack.\n"
          ]
        }
      ],
      "source": [
        "p1 = Person('Jack', 10)\n",
        "p1.introduce()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PchPDt9luxTs"
      },
      "source": [
        "Inheritance"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Kz5Z2yJCtyBN"
      },
      "outputs": [],
      "source": [
        "class Employee(Person):\n",
        "\n",
        "      def __init__(self, name, age, id):\n",
        "          Person.__init__(self, name, age)\n",
        "          self.id = id\n",
        "\n",
        "      def get_id(self):\n",
        "          return self.id"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-VaOJvwzukNU",
        "outputId": "215f7a4b-15cd-423d-93b8-49fb42d14dc3"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "1"
            ]
          },
          "execution_count": 70,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "p2 = Employee('Sara', 32, 1)\n",
        "p2.get_id()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-e2DaAQyvDmU",
        "outputId": "7815f51d-b08e-4849-ce66-90dfb925cb42"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Hi! I'm Sara.\n"
          ]
        }
      ],
      "source": [
        "p2.introduce()"
      ]
    }
  ],
  "metadata": {
    "colab": {
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        "M8zn83zS0DTk"
      ],
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
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