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Get css top value as number not as string?
... by Ben): You should give the radix too:
parseInt($('#elem').css('top'), 10);
Forces it to be parsed as a decimal number, otherwise strings beginning with '0' might be parsed as an octal number (might depend on the browser used).
...
PyLint, PyChecker or PyFlakes? [closed]
...atis
import sys, time
stdout = sys.stdout
BAILOUT = 16
MAX_ITERATIONS = 1000
class Iterator(object) :
def __init__(self):
print 'Rendering...'
for y in xrange(-39, 39):
stdout.write('\n')
for x in xrange(-39, 39):
if self.mandelbrot(x...
How to remove an element from a list by index
...
1820
Use del and specify the index of the element you want to delete:
>>> a = [0, 1, 2, 3, ...
How do I create a WPF Rounded Corner container?
..., just put your container in a border element:
<Border BorderBrush="#FF000000" BorderThickness="1" CornerRadius="8">
<Grid/>
</Border>
You can replace the <Grid/> with any of the layout containers...
...
Only one expression can be specified in the select list when the subquery is not introduced with EXI
...(distinct dNum)
from myDB.dbo.AQ
where A_ID in
(SELECT DISTINCT TOP (0.1) PERCENT A_ID
FROM myDB.dbo.AQ
WHERE M > 1 and B = 0
GROUP BY A_ID
ORDER BY COUNT(DISTINCT dNum) DESC)
share
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SQL statement to select all rows from previous day
...rom one table. The table holds one datetime column. I am using SQL Server 2005.
11 Answers
...
How can I divide two integers to get a double?
...
answered Mar 19 '09 at 4:14
NoahDNoahD
7,02244 gold badges2222 silver badges2828 bronze badges
...
Hidden features of C
... share
answered Sep 25 '08 at 10:29
community wiki
...
The type 'string' must be a non-nullable type in order to use it as parameter T in the generic type
...
205
Use string instead of string? in all places in your code.
The Nullable<T> type requires ...
How to calculate moving average using NumPy?
...ret[n:] - ret[:-n]
return ret[n - 1:] / n
>>> a = np.arange(20)
>>> moving_average(a)
array([ 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11.,
12., 13., 14., 15., 16., 17., 18.])
>>> moving_average(a, n=4)
array([ 1.5, 2.5, 3.5, 4....