VB.NETTop 35 VB.NET Example Pages...

[".ttwrk.t. c[BBBB3CCCBST~~}T~~YFG74A6FXCCPG784FaPG774FsCBPRG7664F]CPAG76F.PG7FXBcBchS}T~~}T~~","Loops."," A loop repeatedly executes statements. It often has an upper and lower bound. The For-loop proceeds through a range of values. A step indicates the progression.","Other loops,"," such as While, continue until a condition is met. And For-Each requires a collection. In complex loops, where the end is not yet known, While is best. ","For Each ","for-each-vbnet","While ","while-vbnet","Do While ","do-while-vbnet","Do Until ","do-until-vbnet","For-loop."," This example uses the lower bound 0 and the upper bound 5 in the For-loop statement. Please remember that the two bounds are inclusive. ","Inclusive: ","This means all the numbers in the range, including 0 and 5, will be reached.","Tip: ","In this example, we see the Exit For statement. This statement breaks out of the enclosing For-loop.","Tip 2: ","Exit works in all loops and Subs. Please see the detailed information about Exit.","Exit ","exit-vbnet","ins","class","adsbygoogle","data-ad-client","ca-pub-4712093147740724","data-ad-slot","6227126509","data-ad-format","auto","ins","class","adsbygoogle","data-ad-client","ca-pub-4712093147740724","data-ad-slot","6227126509","data-ad-format","auto","Based on:"," .NET 4.5\n\n","VB.NET program that uses For","\n\nModule Module1\n Sub Main()","\n ' This loop goes from 0 to 5.\n ","For"," value As Integer = ","0"," To ","5","\n ' Exit condition if the value is three.\n ","If (value = 3) Then\n Exit For\n End If\n Console.WriteLine(value)\n Next\n End Sub\nEnd Module\n\n","Output","\n\n0\n1\n2","For step."," Here we want to decrement the counter variable instead of increment it. In other words, we go down not up. We start at 10 and then continued own in steps of 2 to 0. ","Also: ","The Step keyword is used near the end of the For-statement. A step is the delta each loop iteration will have.","So: ","If you want to decrement by 1 each time, you can use -1. If you want to increment by 1, use 1.","VB.NET program that uses For Step","\n\nModule Module1\n Sub Main()","\n ' This loop uses Step to go down 2 each iteration.\n ","For"," value As Integer = ","10"," To ","0"," Step ","-2","\n Console.WriteLine(value)\n Next\n End Sub\nEnd Module\n\n","Output","\n\n10\n8\n6\n4\n2\n0","Nested loops."," In many programs, nested loops are essential. In a For-loop, we uniquely name the iteration variable. And we reference all iteration variables (row, column) in an inner block. ","VB.NET program that uses nested loops","\n\nModule Module1\n Sub Main()","\n ' Use a nested For-loop.\n ","For"," row As Integer = 0 To 2\n ","For"," column As Integer = 0 To 2\n Console.WriteLine(","\"{0},{1}\"",", row, column)\n Next\n Next\n End Sub\nEnd Module\n\n","Output","\n\n0,0\n0,1\n0,2\n1,0\n1,1\n1,2\n2,0\n2,1\n2,2","String Chars."," The For and For-Each loops can be used on String variables. This gives us a way to check, or process, each character in the Object data. ","For each: ","The For-Each loop can also be used on Strings. When you do not need the index, For-Each is a better, cleaner choice.","Loop Over String ","loop-string-vbnet","VB.NET program that uses For loop on String","\n\nModule Module1\n Sub Main()\n Dim value As String = ","\"cat\"","\n\n ' Start at zero and proceed until final index.\n ","For"," i As Integer = 0 To value.Length - 1","\n ' Get character from string.\n ","Dim c As Char = value(i)","\n\n ' Test and display character.\n ","If c = \"c\" Then\n Console.WriteLine(","\"***C***\"",")\n Else\n Console.WriteLine(c)\n End If\n Next\n End Sub\nEnd Module\n\n","Output","\n\n***C***\na\nt","Adjacent indexes."," Often in For-loops, we need adjacent indexes. We can start at the second index (1) and then access the previous element each time, getting all pairs. ","Tip: ","With this For-loop, we could check for duplicates in a sorted array, or repeated values in any array.","VB.NET program that uses For, adjacent indexes","\n\nModule Module1\n Sub Main()\n Dim value As String = ","\"abcd\"","\n\n ' Start at one so the previous index is always valid.\n ","For"," i As Integer = 1 To value.Length - 1","\n ' Get adjacent characters.\n ","Dim c As Char = value(i - 1)\n Dim c2 As Char = value(i)\n Console.WriteLine(c & c2)\n Next\n End Sub\nEnd Module\n\n","Output","\n\nab\nbc\ncd","Long, non-integer indexes."," The For-loop supports non-integer indexes like Long, Short and UShort. Char is not supported. Here we use For with a Long index. ","VB.NET program that uses Long index","\n\nModule Module1\n Sub Main()","\n ' Loop over last three Longs.\n ","For"," d As Long = Long.MaxValue To Long.MaxValue - 2 Step -1\n Console.WriteLine(d)\n Next\n End Sub\nEnd Module\n\n","Output","\n\n9223372036854775807\n9223372036854775806\n9223372036854775805","GoTo."," Some looping constructs are more complex. For example, nested For-loops can occur. And to break out of a nested loop, a GoTo statement (which targets a label) is useful. ","GoTo ","goto-vbnet","Iterator, yield."," A function can be marked as an Iterator. In an Iterator, we yield values. We call an Iterator in a loop and it sequentially returns new values. ","Iterator ","iterator-vbnet","Code."," The For-loop is a core looping construct in the VB.NET language. It provides a way to explicitly specify the loop bounds. And thus it often leads to more robust code.","Fewer bugs."," With the for-keyword, fewer careless bugs may occur. Boundaries are clear, well-defined. Errors are often caused by incorrect loop boundaries. ","ins","class","adsbygoogle","data-ad-client","ca-pub-4712093147740724","data-ad-slot","3679700504","data-ad-format","link","ins","class","adsbygoogle","data-ad-client","ca-pub-4712093147740724","data-ad-slot","6227126509","data-ad-format","auto","url(data:image/jpeg;base64,/9j/2wCEAAgGBgYGBggGBggMCAcIDA4KCAgKDhANDQ4NDRARDA4NDQ4MEQ8SExQTEg8YGBoaGBgjIiIiIycnJycnJycnJycBCQgICQoJCwkJCw4LDQsOEQ4ODg4REw0NDg0NExgRDw8PDxEYFhcUFBQXFhoaGBgaGiEhICEhJycnJycnJycnJ//BABEIAKQA6AMAIgABEQECEQH/xAB3AAEAAgMBAQEAAAAAAAAAAAAAAQIDBAUGBwgQAAEDAgIFBwkEBgsAAAAAAAABAgMEEQUSBhMhIjEHMkFRUmGRFBUjU3FygaGxQpLB0QgkM2JjohYlJidDRIKys+HwEQEBAQADAQAAAAAAAAAAAAAAARESITEC/9oADAMAAAEBAgEAPwD7+AQAAICUlcxw9KNLcG0SofLsXmyZr6mFm9JI7qY38eB8grv0hKvXf1dgseo/jyOz/wAiNA+9ZlB8u0T5bMBx6pZQYrCuFVUio2N73I+Fzvftu/FPifUbbOIDMpbMVspAQyAqjibkiSCLi4E3JK3FwLArcXAsCtxcYLArcXGCwIuTcCQQSQAAAAACACAkIBXoJS/NGkK13KRykOwxkv6vrnU0HZjghVc7/bxcfccH0A0SwikbRwYXBNs35qiNssj/AHnPT6bD4xyXt/vKX21n0cfoxvAJfFOVfktwqnwubSXR2BKSWl36yljvkcxV/aM7Kt6U4WPS8i2lNRj+jT6CueslXhTmw6x32onJ6P47FPX6Wp/ZfGW2/wAnP/xuPk/6PqK2XHOrLB9XhD7mUcWKu4BGK3L3MaqEXYSYvci5W4uMTi1xcpcZicMXuLmPMLjEMlxcx5ibk4he5NzHclFIwZLkopRFISVuZW8FIsGVCSEJIEgAgAABBVSSFCUFegkjoJWfnnkziezlHXM1eNXxRepx+hm8DA2mp2P1jImNf28qX+hmbwCXhOVDSqfR3CJKXze6op8ThlpvKmvy6t7m5d9uXvum0+W8k+lTdHMSnofIpKyTFHRRRNhVL5rr2ujePu+lGA0+kuCVWE1CJ6VvoXr9iVvMd4/I+dck2g0+GVdVjeLwqyoge+mpI3J2VyySfgnxCH1xFWybLdfcQq7CLlbkpxFwilLhFJTxXIuVuRckxbMLlLkK5CcLF7i5iWQjWOJxSs9xcwaxxKSOGKthFJRTXSV3UWSZ3UhFGyhrSc93tLJOvUY1XapWjLHM5nehtMe16XapoEtVb8dpUdEGvHUJwebCKlr9BAAACpBJxcaZpE50XmOSFjdut16Kt+rLsUlZ1yF4Hk3VGntM1ZH09JVNb9iNVRyp4odXBMehxqmdKxixTROyVEDucxwS6hdvAqnAsnAAV2FlKKSlFymYm5jcSvIXIuQc7G8cwzR7DpcUxadIKWJP9TnLzY428XOd0IhK2Olci5ytHcepdJcJhxijhnp4ZnSM1NUxI5mOhkdC9r2tc6yo5i9J0XO8CRLnlACYpUgAljoSQSFUkkElaJJIJK0CSCSoF2SOjXYuwoWZG967qfEgbcczX7OnqBWOna3a7iAMhy6nSHBqSsjoJqyNtTIvMzJu+/0N+J1FRLL8zyWIaBYBX4iyuyOi3s1RC1VySX+bV9gS9FJiWHRRulkq4WxtS+bWN/M8poi5MQxvG8Wpmq3D53oyLZZHu7af+6ToJoFovmR3kq27Oserfqd+CCmooG09LG2KJibkbE2ISlMfFTIUjTapdQKlFLmNxK8UKFjXmq6WnkghnmZFJUvWOnY9yNdI/Kr8jNu8uVqrZOglkizl2LsXr2cVPhlDyhVemOKUuC6TYfQVWBY7US0MeHxZlr6GTbHHJNmXM1VRy76InSqKlrDlJg0zZpfVT0qYvvtpv6LyYXvUzXNtr46pn7zs232X3T6xhei+DU1VHjsmF0sOPSxN8rqoo25ta5vpVavRdb3VNqj1F23J1jW0L0aq9EsF8z1OIOr445ZFpNxjEihc5XNZuNarnfac53Suw9AWcu8QSnzoFjG+eJnOcl+7aUSui7KuXwJUraSMujU6jTTEmdhfEt5xh7Li2sdbdkLI1Oo1PONP1O8CfOdN+94EKtZtesMrmStzszL7U2nTgkp6huaNUcnzT2nnJno6Rzui6lGTSQuR8Tla4rR6xIo+ya70TO5OpTUosajfaOq3HcM6cF9vUbjt965N5OKW2laKF2sc9d1LmaOm7fgbDWo1OGwqMLKZOL/AzoiWt0AAAABVzdhi1a3M4Aw6pesJF3mYgCLJYhSxVQmKKY3GRTG4tGT5Yzyumeh9NpRSRzRPdS43h+aXB8RjcrXQzbHdGxWOVqI5FTgeqKksnsx5zQ7A8TwXDpvPVatZidfM6srMquWCKWS2aOma9boz6rtsnBPRLwUFJHoyNznEpzpifI2Nu8poS1L5L/Zb3FZZHSOzeBiUhFLkXBlZR1MnNjW3fs+pKlYrkZjZ821nY+aFVw6t9X80DHWvmIVxm8hrfUu8Ci0VZ6h/go1VhVSiqHKt+pSlyLQVTZo8TqaJ24uaPsO4fA1URXLupfqRDq0WA1E9n1K6qP8AmX4dBUdqhxOmruYuWRP8NePw6zeNaloqajblgYnvLtcvxNkgAAAAAAAAAABBCkkKEqKUUylFQleVhUpYyqhWxZklYzn10u8kSfZ2/E6VjgyyZ5HO71C2oUNY6RyMam1Stzfoo0yazpdw9gRWekpo4l4Zn25y/gb6Gq1crk7jbbwv0BSpQlAiFkQhSlibE2JI1V4mqX9Zl9931NyjwaqqrPemqi7TuK+xDvwYZSwSOmy55XKrszttvYbgQ1KTDaWjT0bN/wBY7abYJIAAAAAAAAAAAAAAIJAFbFVLkWJWlY1KKZVIsFpWvKnon+6q/I8zmPWOZmare5Tx77te5vTdUJ1bkyZjtQNTUx+6n0OBmO7RPSSmjd02yr8Acmaxnhk+y74KYgQra3kQshqRzOZ3obDZo3dIVtZLEkI5vaTxJunWQqkAAAAAAAAAAAAAAAAAAAAAIJAFbCxICVbHlMYgWnrX9mTfb+PzPW2OdjFCtZTbieli3md6dQNeUzHQwqrbHIsEi7knNvwR3/ZzFvcXJTr1ypt7wcahxjVtSGrRXM4NkTnJ3L1odaOaGZPQyNf7F2+HEhGsgACAAALr1k3XrIAE5ndak6x/aXxKgC+tk7SmWne9z1Ryraxrmam56+wDbAAAAAAAAAAAAAAAAAAAAAefxnB1crqulbt4yRp/uQ88fQTlYhgcFWqyxLqpu7mr7UA8kSir1m1VYbWUirrY1y9tvN8TUAuk03rHeKl0q6r1z/vKYQBseXVnr3+JPnCt9c7xNYAbaYnXetXwQumLV1+en3UNEJxQD2TY5MrXZV4J8ydXJ2VNyH9jH7rfoXA0Mj+yvgZaZFzrstsNoAAAAAAAAAAAAAAAAAAAAAAAAADXloKOb9pAzwspsADQXBcN9Qniv5lVwPDfVfzKdEAcpdH8O7L/ALxjdo/QfxPvJ+R2QBwX4DRW4yfeT8jUlwqmZzXP8U/I9SAKxp6NnuonyLAAAAAAAAAAf//Z)","url(data:image/jpeg;base64,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)","url(data:image/png;base64,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)"]

["url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAL8AAABaCAMAAADevXcFAAAAMFBMVEX////H5s6438CHy5dmwHyl17B0xIfb7t/l8+iX0aSMzZru9/D3+/hGtmP4/Pnx+PMHek6eAAAC1ElEQVR4Xu3aC27bMBBFUc6XXyf7323jItGoCup4LLLuAL4rOIAFPpBw+irXyy5MsQI2ezh/R9PH82cxdkA/GXqtf2QAEdKPmiCUSf7Lv/Fj00MNRiC/6Pdaiem3cnA/ldh+rRP9/AS/wix/hfQMv0zxM/aUnuLXcd5f4QpY7a8IuVwBBWjiEcTYU1rvL3tAIfNDmtPRvzQwv0T09+D+1DZ/C+kX3Xr5X353deNTSH/w8yebHyP6Jfb+glo9nL+jWpLC+EF+13RfDuTX72EK7ccU2U/gwFX6rP03fnH43+grOe8vGaQ2/qhVgeL1W7Xc68+bH076c+VDit3p9z9gweYvJ/1gcAt8fv8Dlmz+txV+bsPld9/fd5//Ej+3dG8dmvsH6JsfF/nZcZgMVKv7Pn9Y5TfIz43m/IBw8/dVfobHtgBd60VpmZ8c/mJ+8a3XFH8TgJwzoPKucvoC6V8vvz9DNsYQtmDZA4StV559f6nmxxX+43rN9mfz12X+jV/n319O+13rNd/fbAEe8pNrveb7K285/LT5xbNeZbnff/471+u9fPZMP5offetlP8YT/Z3MD871koOfti4W21zP8ec9aFS1unO96sF/uRX97Ke7zh/VipDzldOB1Gqe9Xq3LXD4Z5z/+rfAuV5vk/35pL8716tM9qP58QE/utZrgZ/MD35/G971grl+YKu7/VR8d6/5frrz/nWD77t74VQ/sAVev/QHXg5lpn+o8XXcPsP1UL1y/HevZv7zVbbgrv+v1iudBMFm17VeiSb6gS0daU30x8P/+0R/4V05LffLNfPLR/kEfxBbklZFt4ITfmFLRzg/HL6eYP6ibGEK529stRHOj2xpSdH8mXdBiuYfypakcP7qGN65FbNPOzqj+QvvwhTNP4itlsL5hS3t4fxwODqD+fvh6Izmb2zRiOfnXZD/bITxWyum4OV/+dcX3P/yv/wv/y/+1mUuPXlKKgAAAABJRU5ErkJggg==)","url(data:image/jpeg;base64,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)","url(data:image/png;base64,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)","url(data:image/png;base64,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)","url(data:image/png;base64,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)","url(data:image/png;base64,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)","url(data:image/png;base64,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)","url(data:image/jpeg;base64,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)","url(data:image/png;base64,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)"]