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How to style the option of an html “select” element?

...ed via CSS. There are replacement plug-ins/libraries that look like a <select> but are actually composed of regular HTML elements that CAN be styled. share | improve this answer | ...
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Trim a string based on the string length

I want to trim a string if the length exceeds 10 characters. 11 Answers 11 ...
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How to select rows with no matching entry in another table?

... Here's a simple query: SELECT t1.ID FROM Table1 t1 LEFT JOIN Table2 t2 ON t1.ID = t2.ID WHERE t2.ID IS NULL The key points are: LEFT JOIN is used; this will return ALL rows from Table1, regardless of whether or not there is a matching row i...
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Becoming better at Vim [closed]

...nsciously use it as a navigation tool. The searches [/, ?] and the inline char based searc
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How can I improve my paw detection?

... I'll give it a whack... To detect individual paws, you should first only select everything with a pressure greater than some small threshold, very close to no pressure at all. Every pixel/point that is above this should be "marked." Then, every pixel adjacent to all "marked" pixels becomes marke...
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Proper way to use AJAX Post in jquery to pass model from strongly typed MVC3 view

... EDIT: had to use data: $('input, textarea, select').serialize(), for mine to work. – TheGeekZn Jul 30 '13 at 10:37 ...
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How to set the first option on a select box using jQuery?

I have two HTML select boxes. I need to reset one select box when I make a selection in another. 17 Answers ...
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How to create a table from select query result in SQL Server 2008 [duplicate]

I want to create a table from select query result in SQL Server, I tried 6 Answers 6 ...
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Hibernate show real SQL [duplicate]

... select this_.code from true.employee this_ where this_.code=? is what will be sent to your database. this_ is an alias for that instance of the employee table. ...
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Find unique rows in numpy.array

... As of NumPy 1.13, one can simply choose the axis for selection of unique values in any N-dim array. To get unique rows, one can do: unique_rows = np.unique(original_array, axis=0) share | ...