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What is the difference between SQL Server 2012 Express versions?
... LocalDB or Express depending on your needs above.
That's the SQLEXPRWT_x64_ENU.exe download.... (WT = with tools)
Express with Advanced Services (contains the database engine, Express Tools, Reporting Services, and Full Text Search)
This package contains all the components of SQL Express...
What is the best way to repeatedly execute a function every x seconds?
...nd have it run every second without delay...
– Angry 84
Jan 1 '16 at 22:48
7
I prefer from time i...
HTTP Error 403.14 - Forbidden - The Web server is configured to not list the contents of this direct
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NASSER
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answered Aug 16 '14 at 15:09
user3943211user3943...
Why doesn't .NET/C# optimize for tail-call recursion?
...ate given recent JIT changes). Note that the CLR changes for 4.0 the x86, x64 and ia64 will respect it.
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C# Lambda expressions: Why should I use them?
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84
I found them useful in a situation when I wanted to declare a handler for some control's event,...
Volatile vs. Interlocked vs. lock
... don't know and don't care and that's the point of cache coherency of x86/x64). All the posts earlier by others who mentioned instruction reordering simply show they don't understand x86/x64 architectures. Volatile does not issue read/write barriers as implied by the earlier posts saying 'it prevent...
Manually map column names with class properties
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84
This works fine:
var sql = @"select top 1 person_id PersonId, first_name FirstName, last_name ...
Why should I use IHttpActionResult instead of HttpResponseMessage?
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84
You can still use HttpResponseMessage. That capability will not go away. I felt the same way as...
what's the correct way to send a file from REST web service to client?
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I don't recommend encoding binary data in base64 and wrapping it in JSON. It will just needlessly increase the size of the response and slow things down.
Simply serve your file data using GET and application/octect-streamusing one of the factory methods of javax.ws.rs.c...
What does numpy.random.seed(0) do?
...([ 0.42, 0.65, 0.44, 0.89])
>>> numpy.random.rand(4)
array([ 0.96, 0.38, 0.79, 0.53])
(pseudo-)random numbers work by starting with a number (the seed), multiplying it by a large number, adding an offset, then taking modulo of that sum. The resulting number is then used as the seed...