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Simple C example of doing an HTTP POST and consuming the response
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+50
A message has a header part and a message body separated by a blank line. The blank line is ALWAYS needed even if there is no message...
Swapping column values in MySQL
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204
I just had to deal with the same and I'll summarize my findings.
The UPDATE table SET X=Y, Y=...
For i = 0, why is (i += i++) equal to 0?
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This:
int i = 0;
i += i++
Can be seen as you doing (the following is a gross oversimplification):
int i = 0;
i = i + i; // i=0 because the ++ is a postfix operator and hasn't been executed
i + 1; // Note that you are discarding the calc...
how to draw smooth curve through N points using javascript HTML5 canvas?
...w.
This solution was extracted out of the book "Foundation ActionScript 3.0 Animation: Making things move". p.95 - rendering techniques: creating multiple curves.
Note: this solution does not actually draw through each of the points, which was the title of my question (rather it approximates the ...
Google Maps API 3 - Custom marker color for default (dot) marker
...s:
http://chart.apis.google.com/chart?chst=d_map_pin_letter&chld=%E2%80%A2|FE7569
Which looks like this: the image is 21x34 pixels and the pin tip is at position (10, 34)
And you'll also want a separate shadow image (so that it doesn't overlap nearby icons):
http://chart.apis.google.com/ch...
Cannot ping AWS EC2 instance
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answered May 30 '15 at 9:39
RakibRakib
8,9821010 gold badges5555 silver badges9090 bronze badges
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Define a lambda expression that raises an Exception
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170
There is more than one way to skin a Python:
y = lambda: (_ for _ in ()).throw(Exception('fooba...
Apply a function to every row of a matrix or a data frame
... 3 4
[3,] 5 6
R> apply(M, 1, function(x) 2*x[1]+x[2])
[1] 4 10 16
R>
This takes a matrix and applies a (silly) function to each row. You pass extra arguments to the function as fourth, fifth, ... arguments to apply().
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How to apply a function to two columns of Pandas dataframe
...dex the Series to get the values needed.
In [49]: df
Out[49]:
0 1
0 1.000000 0.000000
1 -0.494375 0.570994
2 1.000000 0.000000
3 1.876360 -0.229738
4 1.000000 0.000000
In [50]: def f(x):
....: return x[0] + x[1]
....:
In [51]: df.apply(f, axis=1) #passes...