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How can I escape a double quote inside double quotes?
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Not working. x=ls; if [ -f "$(which "\""$x"\"")" ]; then echo exists; else echo broken; fi; gives broken whereas ... [ -f "$(which $x)" ]; ... or ... [ -f $(which "$x") ]; ... work just fine. Issues would arise when either $x or the resul...
Fastest way to determine if an integer's square root is an integer
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List comprehension in Ruby
...d
end
some_array = [1, 2, 3, 4, 5, 6]
new_array = some_array.comprehend {|x| x * 3 if x % 2 == 0}
puts new_array
Prints:
6
12
18
I would probably just do it the way you did though.
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imp...
How do I select elements of an array given condition?
Suppose I have a numpy array x = [5, 2, 3, 1, 4, 5] , y = ['f', 'o', 'o', 'b', 'a', 'r'] . I want to select the elements in y corresponding to elements in x that are greater than 1 and less than 5.
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What is the scope of variables in JavaScript?
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TLDR
JavaScript has lexical (also called static) scoping and closures. This means you can tell the scope of an identifier by looking at the source code.
The four scopes are:
Global - visible by everything
Function - visible within a function (and...
ggplot2 plot without axes, legends, etc
I want to use bioconductor's hexbin (which I can do) to generate a plot that fills the entire (png) display region - no axes, no labels, no background, no nuthin'.
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Using Application context everywhere?
...oblems with this approach, though in a lot of circumstances (such as your example) it will work well.
In particular you should be careful when dealing with anything that deals with the GUI that requires a Context. For example, if you pass the application Context into the LayoutInflater you will get...
Generate a heatmap in MatPlotLib using a scatter data set
I have a set of X,Y data points (about 10k) that are easy to plot as a scatter plot but that I would like to represent as a heatmap.
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Minimizing NExpectation for a custom distribution in Mathematica
...magic.
First let's see what the MeanResidualLife is, as you defined it. NExpectation or Expectation compute the expected value.
For the expected value, we only need the PDF of your distribution. Let's extract it from your definition above into simple functions:
pdf[a_, b_, m_, s_, x_] := (1/(2*(a...
Moving average or running mean
...mylist = [1, 2, 3, 4, 5, 6, 7]
N = 3
cumsum, moving_aves = [0], []
for i, x in enumerate(mylist, 1):
cumsum.append(cumsum[i-1] + x)
if i>=N:
moving_ave = (cumsum[i] - cumsum[i-N])/N
#can do stuff with moving_ave here
moving_aves.append(moving_ave)
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