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CoffeeScript, When to use fat arrow (=>) over arrow (->) and vice versa
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answered Jan 23 '12 at 0:18
nicolaskruchtennicolaskruchten
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How to capitalize the first letter of word in a string using Java?
...ing named input and leave the rest alone:
String output = input.substring(0, 1).toUpperCase() + input.substring(1);
Now output will have what you want. Check that your input is at least one character long before using this, otherwise you'll get an exception.
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Passing multiple error classes to ruby's rescue clause in a DRY fashion
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201
You can use an array with the splat operator *.
EXCEPTIONS = [FooException, BarException]
beg...
Add a number to each selection in Sublime Text 2, incremented once per selection
...which will be added to the index for
each selection.
P must be > 0 and will be used to pad the index with
leading zeroes.
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SQL Server Escape an Underscore
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edited Jun 12 at 0:28
Pang
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answered...
Debugging “Element is not clickable at point” error
...iptExecutor jse = (JavascriptExecutor)driver;
jse.executeScript("scroll(250, 0)"); // if the element is on top.
jse.executeScript("scroll(0, 250)"); // if the element is on bottom.
or
JavascriptExecutor jse = (JavascriptExecutor)driver;
jse.executeScript("arguments[0].scrollIntoView()", Webele...
How do you append to an already existing string?
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edited Feb 17 '17 at 10:23
lleaff
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answered Feb 12 '10 at 7...
SBT stop run without exiting
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edited Jul 26 '13 at 16:50
Eugene Yokota
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Decompressing GZip Stream from HTTPClient Response
... client = new HttpClient(handler))
{
// your code
}
Update June 19, 2020:
It's not recommended to use httpclient in a 'using' block as it might cause port exhaustion.
private static HttpClient client = null;
ContructorMethod()
{
if(client == null)
{
HttpClientHandler handler ...
Plot two histograms on single chart with matplotlib
...umpy
from matplotlib import pyplot
x = [random.gauss(3,1) for _ in range(400)]
y = [random.gauss(4,2) for _ in range(400)]
bins = numpy.linspace(-10, 10, 100)
pyplot.hist(x, bins, alpha=0.5, label='x')
pyplot.hist(y, bins, alpha=0.5, label='y')
pyplot.legend(loc='upper right')
pyplot.show()
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