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Bootstrap 3 Glyphicons are not working

I downloaded bootstrap 3.0 and can't get the glyphicons to work. I get some kind of "E003" error. Any ideas why this is happening? I tried both locally and online and I still get the same problem. ...
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Read user input inside a loop

... answered Jul 30 '11 at 13:42 dankdank 1,13411 gold badge77 silver badges22 bronze badges ...
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How do I add the contents of an iterable to a set?

... 231 You can add elements of a list to a set like this: >>> foo = set(range(0, 4)) >&gt...
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HTML5 Canvas Resize (Downscale) Image High Quality?

...e. ) Here's an example of canvas scale vs my pixel perfect scale on a 1/3 scale of a zombat. Notice that the picture might get scaled in your Browser, and is .jpegized by S.O.. Yet we see that there's much less noise especially in the grass behind the wombat, and the branches on its right. The n...
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How can I force division to be floating point? Division keeps rounding down to 0?

... In Python 2, division of two ints produces an int. In Python 3, it produces a float. We can get the new behaviour by importing from __future__. >>> from __future__ import division >>> a = 4 >>> b = 6 >>> c = a / b >>> c 0.66666666666666663 ...
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Pass a data.frame column name to a function

... just use the column name directly: df <- data.frame(A=1:10, B=2:11, C=3:12) fun1 <- function(x, column){ max(x[,column]) } fun1(df, "B") fun1(df, c("B","A")) There's no need to use substitute, eval, etc. You can even pass the desired function as a parameter: fun1 <- function(x, colu...
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Repeat each row of data.frame the number of times specified in a column

...), 1:2] Result: var1 var2 1 a d 2 b e 2.1 b e 3 c f 3.1 c f 3.2 c f share | improve this answer | follow | ...
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Is generator.next() visible in Python 3?

... 3 Answers 3 Active ...
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Python “extend” for a dictionary

... phoenix 3,20611 gold badge2727 silver badges3131 bronze badges answered Feb 23 '09 at 11:01 Nick FortescueNic...
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Pandas groupby: How to get a union of strings

... In [5]: df Out[5]: A B C 0 1 0.749065 This 1 2 0.301084 is 2 3 0.463468 a 3 4 0.643961 random 4 1 0.866521 string 5 2 0.120737 ! In [6]: df.dtypes Out[6]: A int64 B float64 C object dtype: object When you apply your own function, t...