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| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "metadata": {}, |
| 6 | + "source": [ |
| 7 | + "# Python Keywords\n", |
| 8 | + "- Keywords are predefined, reserved words \n", |
| 9 | + "- Cannot use a keyword as a variable name, function name\n", |
| 10 | + "- used to define the syntax and structure of the Python language\n", |
| 11 | + "\n", |
| 12 | + "**Python has `35 keywords` >> All the keywords except True, False and None are in lowercase**" |
| 13 | + ] |
| 14 | + }, |
| 15 | + { |
| 16 | + "cell_type": "markdown", |
| 17 | + "metadata": {}, |
| 18 | + "source": [ |
| 19 | + "## Python 35 Keywords\n", |
| 20 | + "\n", |
| 21 | + "`import` `from` `as` \n", |
| 22 | + "\n", |
| 23 | + "`if` `else` `elif`\n", |
| 24 | + "\n", |
| 25 | + "`in` `is` `and` `or` `not`\n", |
| 26 | + "\n", |
| 27 | + "`for` `while` `break` `continue` `pass`\n", |
| 28 | + "\n", |
| 29 | + "`def` `return` `raise` `yield`\n", |
| 30 | + "\n", |
| 31 | + "`try` `except` `finally` `assert`\n", |
| 32 | + "\n", |
| 33 | + "`global` `nonlocal`\n", |
| 34 | + "\n", |
| 35 | + "`lambda` `True` `False` `None`\n", |
| 36 | + "\n", |
| 37 | + "`with` `await` `async` `del` `class`\n" |
| 38 | + ] |
| 39 | + }, |
| 40 | + { |
| 41 | + "cell_type": "code", |
| 42 | + "execution_count": 1, |
| 43 | + "metadata": {}, |
| 44 | + "outputs": [ |
| 45 | + { |
| 46 | + "name": "stdout", |
| 47 | + "output_type": "stream", |
| 48 | + "text": [ |
| 49 | + "\n", |
| 50 | + "Here is a list of the Python keywords. Enter any keyword to get more help.\n", |
| 51 | + "\n", |
| 52 | + "False class from or\n", |
| 53 | + "None continue global pass\n", |
| 54 | + "True def if raise\n", |
| 55 | + "and del import return\n", |
| 56 | + "as elif in try\n", |
| 57 | + "assert else is while\n", |
| 58 | + "async except lambda with\n", |
| 59 | + "await finally nonlocal yield\n", |
| 60 | + "break for not \n", |
| 61 | + "\n" |
| 62 | + ] |
| 63 | + } |
| 64 | + ], |
| 65 | + "source": [ |
| 66 | + "# Print All Python Keywords\n", |
| 67 | + "help(\"keywords\")" |
| 68 | + ] |
| 69 | + }, |
| 70 | + { |
| 71 | + "cell_type": "markdown", |
| 72 | + "metadata": {}, |
| 73 | + "source": [ |
| 74 | + "# Python Identifiers\n", |
| 75 | + "\n", |
| 76 | + "Identifiers are the name given to variables, classes, methods, etc.\n", |
| 77 | + "\n", |
| 78 | + "`language = 'Python'`\n", |
| 79 | + "Here, language is a variable (an identifier) which holds the value 'Python'\n", |
| 80 | + "\n", |
| 81 | + "\n", |
| 82 | + "## Variables\n", |
| 83 | + "A `variable` is a container (storage area) to hold data. Exp: `number = 10`\n", |
| 84 | + "\n", |
| 85 | + "**Variable Naming Conventions**\n", |
| 86 | + "- snake_case\n", |
| 87 | + "- MACRO_CASE\n", |
| 88 | + "- camelCase\n", |
| 89 | + "- CapWords\n", |
| 90 | + "\n", |
| 91 | + "\n", |
| 92 | + "## Constants\n", |
| 93 | + "A `constant` is a special type of variable whose value cannot (is not) be changed. Exp: PI = 3.14\n", |
| 94 | + "\n", |
| 95 | + "## Literals\n", |
| 96 | + "`Literals` are representations of fixed values in a program. \\\n", |
| 97 | + "They can be numbers, characters, or strings, etc. For example, 'Hello, World!', 12, 23.0, 'C', etc.\n", |
| 98 | + "\n", |
| 99 | + "**Python Literal Types**\n", |
| 100 | + " - `Numeric literals: ` can belong to 3 different numerical types: Integer, Float, and Complex. Exp: a = 6 + 9j. \n", |
| 101 | + " - `boolean literals:` True, False\n", |
| 102 | + " - `Character literals:` are unicode characters enclosed in a quote. Exp: some_character = 'S'\n", |
| 103 | + " - `String literals` are sequences of Characters enclosed in quotation marks.\n", |
| 104 | + " - `Special literal:` None >> used to specify a null variable. Exp: num = None\n", |
| 105 | + " - `Four literal collections:` List literals, Tuple literals, Dict literals, and Set literals.\n", |
| 106 | + "\n" |
| 107 | + ] |
| 108 | + }, |
| 109 | + { |
| 110 | + "cell_type": "markdown", |
| 111 | + "metadata": {}, |
| 112 | + "source": [ |
| 113 | + "# Python Data Types\n", |
| 114 | + "\n", |
| 115 | + "\n", |
| 116 | + "\n", |
| 117 | + "\n", |
| 118 | + "\n", |
| 119 | + "**Since everything is an object in Python programming, data types are actually classes and variables are instances(object) of these classes.**\n", |
| 120 | + "\n" |
| 121 | + ] |
| 122 | + }, |
| 123 | + { |
| 124 | + "cell_type": "code", |
| 125 | + "execution_count": 4, |
| 126 | + "metadata": {}, |
| 127 | + "outputs": [ |
| 128 | + { |
| 129 | + "name": "stdout", |
| 130 | + "output_type": "stream", |
| 131 | + "text": [ |
| 132 | + "5 is of type <class 'int'>\n", |
| 133 | + "2.0 is of type <class 'float'>\n", |
| 134 | + "(1+2j) is of type <class 'complex'>\n", |
| 135 | + "5 is Binary of type <class 'int'>\n", |
| 136 | + "105 is Octa of type <class 'int'>\n", |
| 137 | + "337 is Hexa of type <class 'int'>\n", |
| 138 | + "010\n" |
| 139 | + ] |
| 140 | + } |
| 141 | + ], |
| 142 | + "source": [ |
| 143 | + "num1 = 5\n", |
| 144 | + "print(num1, 'is of type', type(num1))\n", |
| 145 | + "\n", |
| 146 | + "num2 = 2.0\n", |
| 147 | + "print(num2, 'is of type', type(num2))\n", |
| 148 | + "\n", |
| 149 | + "num3 = 1+2j\n", |
| 150 | + "print(num3, 'is of type', type(num3))\n", |
| 151 | + "\n", |
| 152 | + "num4 = 0b101 #Binary \n", |
| 153 | + "print(num4, 'is Binary of type', type(num4))\n", |
| 154 | + "\n", |
| 155 | + "num4 = 0o151\n", |
| 156 | + "print(num4, 'is Octa of type', type(num4))\n", |
| 157 | + "\n", |
| 158 | + "num4 = 0x151\n", |
| 159 | + "print(num4, 'is Hexa of type', type(num4))\n", |
| 160 | + "\n", |
| 161 | + "binary = 0b010\n", |
| 162 | + "print(\"{:03b}\".format(binary))" |
| 163 | + ] |
| 164 | + }, |
| 165 | + { |
| 166 | + "cell_type": "code", |
| 167 | + "execution_count": null, |
| 168 | + "metadata": {}, |
| 169 | + "outputs": [], |
| 170 | + "source": [] |
| 171 | + }, |
| 172 | + { |
| 173 | + "cell_type": "code", |
| 174 | + "execution_count": null, |
| 175 | + "metadata": {}, |
| 176 | + "outputs": [], |
| 177 | + "source": [] |
| 178 | + } |
| 179 | + ], |
| 180 | + "metadata": { |
| 181 | + "kernelspec": { |
| 182 | + "display_name": "Python 3", |
| 183 | + "language": "python", |
| 184 | + "name": "python3" |
| 185 | + }, |
| 186 | + "language_info": { |
| 187 | + "codemirror_mode": { |
| 188 | + "name": "ipython", |
| 189 | + "version": 3 |
| 190 | + }, |
| 191 | + "file_extension": ".py", |
| 192 | + "mimetype": "text/x-python", |
| 193 | + "name": "python", |
| 194 | + "nbconvert_exporter": "python", |
| 195 | + "pygments_lexer": "ipython3", |
| 196 | + "version": "3.10.4" |
| 197 | + } |
| 198 | + }, |
| 199 | + "nbformat": 4, |
| 200 | + "nbformat_minor": 2 |
| 201 | +} |
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