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 | 1 | +{  | 
 | 2 | + "cells": [  | 
 | 3 | + {  | 
 | 4 | + "cell_type": "code",  | 
 | 5 | + "execution_count": 2,  | 
 | 6 | + "metadata": {},  | 
 | 7 | + "outputs": [  | 
 | 8 | + {  | 
 | 9 | + "data": {  | 
 | 10 | + "text/plain": [  | 
 | 11 | + "3600"  | 
 | 12 | + ]  | 
 | 13 | + },  | 
 | 14 | + "execution_count": 2,  | 
 | 15 | + "metadata": {},  | 
 | 16 | + "output_type": "execute_result"  | 
 | 17 | + }  | 
 | 18 | + ],  | 
 | 19 | + "source": [  | 
 | 20 | + "## In one hour there are 60 minutes in 60 minutes web have 60 seconds so multiplied by it\n",  | 
 | 21 | + "onehour = 60 *60\n",  | 
 | 22 | + "onehour"  | 
 | 23 | + ]  | 
 | 24 | + },  | 
 | 25 | + {  | 
 | 26 | + "cell_type": "code",  | 
 | 27 | + "execution_count": 3,  | 
 | 28 | + "metadata": {},  | 
 | 29 | + "outputs": [],  | 
 | 30 | + "source": [  | 
 | 31 | + "seconds_per_hour = onehour"  | 
 | 32 | + ]  | 
 | 33 | + },  | 
 | 34 | + {  | 
 | 35 | + "cell_type": "code",  | 
 | 36 | + "execution_count": 4,  | 
 | 37 | + "metadata": {},  | 
 | 38 | + "outputs": [  | 
 | 39 | + {  | 
 | 40 | + "data": {  | 
 | 41 | + "text/plain": [  | 
 | 42 | + "3600"  | 
 | 43 | + ]  | 
 | 44 | + },  | 
 | 45 | + "execution_count": 4,  | 
 | 46 | + "metadata": {},  | 
 | 47 | + "output_type": "execute_result"  | 
 | 48 | + }  | 
 | 49 | + ],  | 
 | 50 | + "source": [  | 
 | 51 | + "seconds_per_hour"  | 
 | 52 | + ]  | 
 | 53 | + },  | 
 | 54 | + {  | 
 | 55 | + "cell_type": "code",  | 
 | 56 | + "execution_count": 5,  | 
 | 57 | + "metadata": {},  | 
 | 58 | + "outputs": [  | 
 | 59 | + {  | 
 | 60 | + "data": {  | 
 | 61 | + "text/plain": [  | 
 | 62 | + "86400"  | 
 | 63 | + ]  | 
 | 64 | + },  | 
 | 65 | + "execution_count": 5,  | 
 | 66 | + "metadata": {},  | 
 | 67 | + "output_type": "execute_result"  | 
 | 68 | + }  | 
 | 69 | + ],  | 
 | 70 | + "source": [  | 
 | 71 | + "total_hours_in_day = 24\n",  | 
 | 72 | + "day_in_seconds = seconds_per_hour * total_hours_in_day\n",  | 
 | 73 | + "day_in_seconds"  | 
 | 74 | + ]  | 
 | 75 | + },  | 
 | 76 | + {  | 
 | 77 | + "cell_type": "code",  | 
 | 78 | + "execution_count": 7,  | 
 | 79 | + "metadata": {},  | 
 | 80 | + "outputs": [  | 
 | 81 | + {  | 
 | 82 | + "data": {  | 
 | 83 | + "text/plain": [  | 
 | 84 | + "86400"  | 
 | 85 | + ]  | 
 | 86 | + },  | 
 | 87 | + "execution_count": 7,  | 
 | 88 | + "metadata": {},  | 
 | 89 | + "output_type": "execute_result"  | 
 | 90 | + }  | 
 | 91 | + ],  | 
 | 92 | + "source": [  | 
 | 93 | + "seconds_per_day = day_in_seconds\n",  | 
 | 94 | + "seconds_per_day"  | 
 | 95 | + ]  | 
 | 96 | + },  | 
 | 97 | + {  | 
 | 98 | + "cell_type": "code",  | 
 | 99 | + "execution_count": 8,  | 
 | 100 | + "metadata": {},  | 
 | 101 | + "outputs": [  | 
 | 102 | + {  | 
 | 103 | + "data": {  | 
 | 104 | + "text/plain": [  | 
 | 105 | + "24.0"  | 
 | 106 | + ]  | 
 | 107 | + },  | 
 | 108 | + "execution_count": 8,  | 
 | 109 | + "metadata": {},  | 
 | 110 | + "output_type": "execute_result"  | 
 | 111 | + }  | 
 | 112 | + ],  | 
 | 113 | + "source": [  | 
 | 114 | + "seconds_per_day/seconds_per_hour"  | 
 | 115 | + ]  | 
 | 116 | + },  | 
 | 117 | + {  | 
 | 118 | + "cell_type": "code",  | 
 | 119 | + "execution_count": 13,  | 
 | 120 | + "metadata": {},  | 
 | 121 | + "outputs": [  | 
 | 122 | + {  | 
 | 123 | + "data": {  | 
 | 124 | + "text/plain": [  | 
 | 125 | + "24"  | 
 | 126 | + ]  | 
 | 127 | + },  | 
 | 128 | + "execution_count": 13,  | 
 | 129 | + "metadata": {},  | 
 | 130 | + "output_type": "execute_result"  | 
 | 131 | + }  | 
 | 132 | + ],  | 
 | 133 | + "source": [  | 
 | 134 | + "## According to question I Agree to floating-point value but converted to integer as we used floor division\n",  | 
 | 135 | + "res = seconds_per_day//seconds_per_hour\n",  | 
 | 136 | + "res"  | 
 | 137 | + ]  | 
 | 138 | + },  | 
 | 139 | + {  | 
 | 140 | + "cell_type": "code",  | 
 | 141 | + "execution_count": 12,  | 
 | 142 | + "metadata": {},  | 
 | 143 | + "outputs": [  | 
 | 144 | + {  | 
 | 145 | + "data": {  | 
 | 146 | + "text/plain": [  | 
 | 147 | + "int"  | 
 | 148 | + ]  | 
 | 149 | + },  | 
 | 150 | + "execution_count": 12,  | 
 | 151 | + "metadata": {},  | 
 | 152 | + "output_type": "execute_result"  | 
 | 153 | + }  | 
 | 154 | + ],  | 
 | 155 | + "source": [  | 
 | 156 | + "type(res)"  | 
 | 157 | + ]  | 
 | 158 | + },  | 
 | 159 | + {  | 
 | 160 | + "cell_type": "code",  | 
 | 161 | + "execution_count": 7,  | 
 | 162 | + "metadata": {},  | 
 | 163 | + "outputs": [],  | 
 | 164 | + "source": [  | 
 | 165 | + "def genPrimes():\n",  | 
 | 166 | + " lstprimenums = [] \n",  | 
 | 167 | + " i = 1 \n",  | 
 | 168 | + " while True:\n",  | 
 | 169 | + " i = i + 1\n",  | 
 | 170 | + " for p in lstprimenums:\n",  | 
 | 171 | + " if i % p == 0:\n",  | 
 | 172 | + " break\n",  | 
 | 173 | + " else:\n",  | 
 | 174 | + " lstprimenums.append(i)\n",  | 
 | 175 | + " yield i"  | 
 | 176 | + ]  | 
 | 177 | + },  | 
 | 178 | + {  | 
 | 179 | + "cell_type": "code",  | 
 | 180 | + "execution_count": 9,  | 
 | 181 | + "metadata": {},  | 
 | 182 | + "outputs": [  | 
 | 183 | + {  | 
 | 184 | + "name": "stdout",  | 
 | 185 | + "output_type": "stream",  | 
 | 186 | + "text": [  | 
 | 187 | + "2\n",  | 
 | 188 | + "3\n",  | 
 | 189 | + "5\n",  | 
 | 190 | + "7\n",  | 
 | 191 | + "11\n"  | 
 | 192 | + ]  | 
 | 193 | + }  | 
 | 194 | + ],  | 
 | 195 | + "source": [  | 
 | 196 | + "output = genPrimes()\n",  | 
 | 197 | + "print(next(output))\n",  | 
 | 198 | + "print(next(output))\n",  | 
 | 199 | + "print(next(output))\n",  | 
 | 200 | + "print(next(output))\n",  | 
 | 201 | + "print(next(output))"  | 
 | 202 | + ]  | 
 | 203 | + }  | 
 | 204 | + ],  | 
 | 205 | + "metadata": {  | 
 | 206 | + "kernelspec": {  | 
 | 207 | + "display_name": "Python 3",  | 
 | 208 | + "language": "python",  | 
 | 209 | + "name": "python3"  | 
 | 210 | + },  | 
 | 211 | + "language_info": {  | 
 | 212 | + "codemirror_mode": {  | 
 | 213 | + "name": "ipython",  | 
 | 214 | + "version": 3  | 
 | 215 | + },  | 
 | 216 | + "file_extension": ".py",  | 
 | 217 | + "mimetype": "text/x-python",  | 
 | 218 | + "name": "python",  | 
 | 219 | + "nbconvert_exporter": "python",  | 
 | 220 | + "pygments_lexer": "ipython3",  | 
 | 221 | + "version": "3.8.5"  | 
 | 222 | + }  | 
 | 223 | + },  | 
 | 224 | + "nbformat": 4,  | 
 | 225 | + "nbformat_minor": 4  | 
 | 226 | +}  | 
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