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What is the best way to convert seconds into (Hour:Minutes:Seconds:Milliseconds) time?
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For .Net <= 4.0 Use the TimeSpan class.
TimeSpan t = TimeSpan.FromSeconds( secs );
string answer = string.Format("{0:D2}h:{1:D2}m:{2:D2}s:{3:D3}ms",
t.Hours,
t.Minutes,
t.Seconds,
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How to format strings in Java
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140
In addition to String.format, also take a look java.text.MessageFormat. The format less terse a...
How can I shrink the drawable on a button?
...rawable = getResources().getDrawable(R.drawable.s_vit);
drawable.setBounds(0, 0, (int)(drawable.getIntrinsicWidth()*0.5),
(int)(drawable.getIntrinsicHeight()*0.5));
ScaleDrawable sd = new ScaleDrawable(drawable, 0, scaleWidth, scaleHeight);
Button btn = findViewbyId(R.id.yo...
Are there any O(1/n) algorithms?
...he following one:
def get_faster(list):
how_long = (1 / len(list)) * 100000
sleep(how_long)
Clearly, this function spends less time as the input size grows … at least until some limit, enforced by the hardware (precision of the numbers, minimum of time that sleep can wait, time to proce...
How do multiple clients connect simultaneously to one port, say 80, on a server? [duplicate]
... don't get is how multiple clients can simultaneously connect to say port 80. I know each client has a unique (for their machine) port. Does the server reply back from an available port to the client, and simply state the reply came from 80? How does this work?
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Convert string[] to int[] in one line of code using LINQ
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answered Aug 19 '09 at 0:15
Ahmad MageedAhmad Mageed
85.1k1717 gold badges148148 silver badges167167 bronze badges
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Which method performs better: .Any() vs .Count() > 0?
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edited Nov 20 '08 at 12:51
answered Nov 20 '08 at 12:37
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Text border using css (border around text)
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Use multiple text shadows:
text-shadow: 2px 0 0 #fff, -2px 0 0 #fff, 0 2px 0 #fff, 0 -2px 0 #fff, 1px 1px #fff, -1px -1px 0 #fff, 1px -1px 0 #fff, -1px 1px 0 #fff;
body {
font-family: sans-serif;
background: #222;
color: darkred;
}
h1 {
text-sha...
Creating a zero-filled pandas data frame
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140
You can try this:
d = pd.DataFrame(0, index=np.arange(len(data)), columns=feature_list)
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