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LEFT JOIN vs. LEFT OUTER JOIN in SQL Server
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shA.t
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answered Aug 30 '10 at 2:33
andrefspandrefsp
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How to get object size in memory? [duplicate]
... object references (on a 32 bit machine, although
BizTalk runs 32 bit on 64 bit machines as well), plus 4 bytes for the
type object pointer, and I think 4 bytes for the sync block index. Why
is this additional overhead important? Well, let’s imagine we have a
class with two Int32 members; ...
Why does i = i + i give me 0?
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Louis WassermanLouis Wasserman
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How can you detect the version of a browser?
...r user agent showing Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.1; WOW64; Trident/6.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; InfoPath.3; .NET4.0C; .NET4.0E) from string its IE7 with trident/6.0 be careful
– Yogesh
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Does JavaScript have a built in stringbuilder class?
...tested it in Internet Explorer 8 and Firefox 3.5.5, both on a Windows 7 x64.
In the beginning I tested on small number of iterations (some hundred, some thousand items). The results were unpredictable (sometimes string concatenation took 0 milliseconds, sometimes it took 16 milliseconds, the same ...
Is there an auto increment in sqlite?
...n alias for the
ROWID (except in WITHOUT ROWID tables) which is always a 64-bit signed
integer.
On an INSERT, if the ROWID or INTEGER PRIMARY KEY column is not
explicitly given a value, then it will be filled automatically with an
unused integer, usually one more than the largest ROWID cur...
Android studio using > 100% CPU at all times - no background processes appear to be running
...the bottom of memory tab)
Fix is to change the studio.vmoptions (or studio64.vmoptions in my case), to increase the -Xmx value from default 750m to 1500m. It is sufficient for me. if you have too much memory, set to 2g or 4g or 16g..
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A reference to the dll could not be added
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Manfred
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answered Sep 28 '12 at 12:07
Memet OlsenMemet Ol...
Fast check for NaN in NumPy
...4.45 ms per loop
%timeit np.isnan(array.min()) # 1000 loops, best of 3: 1.64 ms per loop
But in case there is a NaN in the array, especially if it's position is at low indices, then it's much faster:
array = np.random.random(2000000)
array[100] = np.nan
%timeit anynan(array) # 1000000 ...
How to change the pop-up position of the jQuery DatePicker control
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64
I have no idea why this is the accepted answer as it's almost completely useless.
– Software Engineer
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