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Showing the same file in both columns of a Sublime Text window

...| edited Oct 22 '16 at 3:40 answered May 30 '14 at 23:33 Ma...
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Returning first x items from array

...ray_slice returns a slice of an array $sliced_array = array_slice($array, 0, 5) is the code you want in your case to return the first five elements share | improve this answer | ...
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awk without printing newline

... answered Jan 7 '10 at 16:56 CodeRainCodeRain 5,18444 gold badges2323 silver badges3232 bronze badges ...
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Why am I seeing “TypeError: string indices must be integers”?

... answered May 20 '11 at 21:16 TamásTamás 42.9k1111 gold badges9090 silver badges118118 bronze badges ...
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Using [UIColor colorWithRed:green:blue:alpha:] doesn't work with UITableView seperatorColor?

... You need to divide by 255.0 Because I hardly ever use values between 1.0 and 0.0, I created a very simple UIColor category that does the messy looking division by itself: (from http://github.com/Jon889/JPGeneral) //.h file @interface UIColor (JPExtr...
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System.IO.Packaging

I have my project set to .NET Framework 4.0. When I add System.IO.Packaging , it says that it doesn't exist. It also doesn't show up when I try to add it as a reference to the project. ...
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How is “=default” different from “{}” for default constructor and destructor?

... 105 This is a completely different question when asking about constructors than destructors. If yo...
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Understanding how recursive functions work

... 107 I think the confusion is stemming from thinking of it as "the same function" being called many ...
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Is there a NumPy function to return the first index of something in an array?

...mensions and it contained your item at two locations then array[itemindex[0][0]][itemindex[1][0]] would be equal to your item and so would array[itemindex[0][1]][itemindex[1][1]] numpy.where share | ...
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Standard deviation of a list

... Since Python 3.4 / PEP450 there is a statistics module in the standard library, which has a method stdev for calculating the standard deviation of iterables like yours: >>> A_rank = [0.8, 0.4, 1.2, 3.7, 2.6, 5.8] >>> import statis...