behaviors_of_None_and_is.ipynb

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      "name": "behaviors_of_None_and_is.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyNVVml+AjtLxcXyMHlcTvWK",
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    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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    "language_info": {
      "name": "python"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/hiro106/colab_notebooks_for_learning/blob/main/behaviors_of_None_and_is.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "_PTM_A4wdjbq"
      },
      "outputs": [],
      "source": [
        "# https://www.pythonlikeyoumeanit.com/Module2_EssentialsOfPython/Basic_Objects.html"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Demonstrating the use of 'None' as a placeholder\n",
        "large_num = None"
      ],
      "metadata": {
        "id": "BP6NHwnJeBDj"
      },
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "large_num"
      ],
      "metadata": {
        "id": "Awf13Kq1eBGK"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "type(large_num)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VwpObth4eBIk",
        "outputId": "7bb15c70-d64e-4e44-a36f-c5bda61b1a88"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "NoneType"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(large_num)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "J3syw4KXeBK3",
        "outputId": "11dc1dce-3e31-462f-9826-fd34c0c77dc3"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "None\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for number in [1, 2, 3, 4]:\n",
        "    if number > 10:\n",
        "        large_num = number\n",
        "        break"
      ],
      "metadata": {
        "id": "fPYVp9VdeBNS"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "if large_num is None:\n",
        "    print(\"The list did not contain any number larger than 10\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lUgZfJJQeM42",
        "outputId": "89f6a8f2-bf7f-44dd-f079-ac18d997d9c8"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The list did not contain any number larger than 10\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "guawZctOeM8l"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# If not using None \n",
        "big_num = []"
      ],
      "metadata": {
        "id": "9c81S4vyeNA8"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "for number in [1, 2, 3, 4]:\n",
        "    if number > 10:\n",
        "        big_num = number\n",
        "        break_"
      ],
      "metadata": {
        "id": "JiVzQYwle6Hx"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(big_num)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QtK5x58peNEo",
        "outputId": "605cdc4e-dc70-4d28-f4ef-5980c613966b"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "big_num is None"
      ],
      "metadata": {
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        "id": "XpEGI6MceNJZ",
        "outputId": "9fe4d6d5-b3f7-40df-d819-c7fbe4520d14"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
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    {
      "cell_type": "code",
      "source": [
        "big_num == []"
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        "id": "yhGaz_OueBQD",
        "outputId": "6f694795-7b95-45a5-9a1b-49e3404d3e62"
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      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
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    {
      "cell_type": "code",
      "source": [
        "id(big_num)"
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              "139681722082960"
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          "execution_count": 18
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      "cell_type": "code",
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        "id([])"
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              "139681722082800"
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          "metadata": {},
          "execution_count": 19
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      "cell_type": "code",
      "source": [
        "id(None)"
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              "11125344"
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          "metadata": {},
          "execution_count": 20
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      "cell_type": "code",
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        "big_num is []"
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        "colab": {
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        "id": "95p_R_UYftp0",
        "outputId": "2c5c3480-a100-410b-d818-4f1644582479"
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      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False"
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          },
          "metadata": {},
          "execution_count": 21
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        ""
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