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Efficient evaluation of a function at every cell of a NumPy array
Given a NumPy array A , what is the fastest/most efficient way to apply the same function, f , to every cell?
6 Ans...
How can I list (ls) the 5 last modified files in a directory?
I know ls -t will list all files by modified time. But how can I limit these results to only the last n files?
5 Answe...
No appenders could be found for logger(log4j)?
I have put log4j to my buildpath, but I get the following message when I run my application:
31 Answers
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Calling Java varargs method with single null argument?
If I have a vararg Java method foo(Object ...arg) and I call foo(null, null) , I have both arg[0] and arg[1] as null s. But if I call foo(null) , arg itself is null. Why is this happening?
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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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Rank items in an array using Python/NumPy, without sorting array twice
I have an array of numbers and I'd like to create another array that represents the rank of each item in the first array. I'm using Python and NumPy.
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How can I pass command-line arguments to a Perl program?
I'm working on a Perl script. How can I pass command line parameters to it?
9 Answers
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How to send an email using PHP?
I am using PHP on a website and I want to add emailing functionality.
14 Answers
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Is there a rule-of-thumb for how to divide a dataset into training and validation sets?
Is there a rule-of-thumb for how to best divide data into training and validation sets? Is an even 50/50 split advisable? Or are there clear advantages of having more training data relative to validation data (or vice versa)? Or is this choice pretty much application dependent?
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Standard alternative to GCC's ##__VA_ARGS__ trick?
There is a well-known problem with empty args for variadic macros in C99.
10 Answers
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