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When NOT to use yield (return) [duplicate]
...d). In release mode at least, Invoking and iterating over the yield result based method is faster.
– Melvyn
Oct 3 '18 at 16:09
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How do I remedy “The breakpoint will not currently be hit. No symbols have been loaded for this docu
...eakpoints multiple projects in a solution - some compiled as x86, some as x64.
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Find element's index in pandas Series
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>>> myseries[myseries == 7]
3 7
dtype: int64
>>> myseries[myseries == 7].index[0]
3
Though I admit that there should be a better way to do that, but this at least avoids iterating and looping through the object and moves it to the C level.
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iOS: how to perform a HTTP POST request?
...sion, downloadTask: URLSessionDownloadTask,
didWriteData bytesWritten: Int64, totalBytesWritten writ: Int64, totalBytesExpectedToWrite exp: Int64) {
print("downloaded \(100*writ/exp)" as AnyObject)
}
func urlSession(_ session: URLSession, downloadTask: URLSessionDownloadTask, d...
TortoiseSVN icons not showing up under Windows 7
...and then back on, and the Tortise overlay icons reappeared. I'm using the 64-bit version of both Win7 and TortiseSVN.
– Chris Staley
Aug 30 '09 at 1:20
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.NET JIT potential error?
... for help, clarification, or responding to other answers.Making statements based on opinion; back them up with references or personal experience.To learn more, see our tips on writing great answers.
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Hashing a string with Sha256
...ash += bit.ToString("x2"); I've a question here: I was using Convert.ToBase64String(byte[] encryptedBytes) to convert back from bytes to string. that was giving me different result. so what is the different between these two methods of converting from bytes to string..?
– Keval...
How to strip all non-alphabetic characters from string in SQL Server?
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+1 George. This is one of those places where "Set-Based" code and the use of Inline Scalar Functions have great difficulty in beating Row-By-Row. Nicely done. I've also been using your "Initial Caps" function, which has the same basic form, for a couple of years, now.
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Deleting DataFrame row in Pandas based on column value
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If you want to delete rows based on multiple values of the column, you could use:
df[(df.line_race != 0) & (df.line_race != 10)]
To drop all rows with values 0 and 10 for line_race.
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Simple proof that GUID is not unique [closed]
... hear your reasoning to your theory. I think we could start a new religion based on this and recruit T.Cruise!
– ErocM
Oct 19 '11 at 14:02
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