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Adding code to a javascript function programmatically
I'm attempting to customize an existing JS library without modifying the original JS code. This code loads in a few external JS files which I do have access to, and what I'd like to do is change one of the functions contained in the original file without copying and pasting the whole thing into the...
python's re: return True if string contains regex pattern
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import re
word = 'fubar'
regexp = re.compile(r'ba[rzd]')
if regexp.search(word):
print 'matched'
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How to drop columns by name in a data frame
...he subset function. For example :
R> df <- data.frame(x=1:5, y=2:6, z=3:7, u=4:8)
R> df
x y z u
1 1 2 3 4
2 2 3 4 5
3 3 4 5 6
4 4 5 6 7
5 5 6 7 8
Then you can use the which function and the - operator in column indexation :
R> df[ , -which(names(df) %in% c("z","u"))]
x y
1 1 2
2 ...
YouTube Video Embedded via iframe Ignoring z-index?
I'm trying to implement a horizontal multilevel dropdown navigation menu. Immediately below (vertically) the menu, I've got a YouTube video embedded via iframe. If I hover over one of the main level nav items in Firefox, the dropdown menu properly appears on top of the video.
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How to check if element exists using a lambda expression?
...urd
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answered Apr 11 '14 at 6:24
MasudulMasudul
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Fastest way to determine if an integer's square root is an integer
...ble.
if( bad255[y] )
return false;
// However, I just use a table of size 512
Finally, try to compute the square root using a method similar to Hensel's lemma. (I don't think it's applicable directly, but it works with some modifications.) Before doing that, I divide out all powers of 2 with...
How should I print types like off_t and size_t?
I'm trying to print types like off_t and size_t . What is the correct placeholder for printf() that is portable ?
9 ...
Can I pass an array as arguments to a method with variable arguments in Java?
...nmp85
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How do I get the MAX row with a GROUP BY in LINQ query?
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Way to read first few lines for pandas dataframe
...88504479 bytes, 5344499 lines):
In [1]: import pandas as pd
In [2]: time z = pd.read_csv("P00000001-ALL.csv", nrows=20)
CPU times: user 0.00 s, sys: 0.00 s, total: 0.00 s
Wall time: 0.00 s
In [3]: len(z)
Out[3]: 20
In [4]: time z = pd.read_csv("P00000001-ALL.csv")
CPU times: user 27.63 s, sys: 1...