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String variable interpolation Java [duplicate]
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@MiaeKim: Then I think it should be more closely scoped. "For pieces of code where performance is critical" is more helpful than "If you care about performance" IMO. Who's going to say they, as a developer, don't care about performance? It's a matter of judging...
How to generate random SHA1 hash to use as ID in node.js?
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243,583,606,221,817,150,598,111,409x more entropy
I'd recommend using crypto.randomBytes. It's not sha1, but for id purposes, it's quicker, and just as "random".
var id = crypto.randomBytes(20).toString('hex');
//=> f26d60305dae929ef8640a75e70dd78ab809cfe9
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Python multiprocessing PicklingError: Can't pickle
...h is not picklable. It could be the function or its arguments. To find out more about the problem, I suggest make a copy of your program, and start paring it down, making it simpler and simpler, each time re-running the program to see if the problem remains. When it becomes really simple, you'll eit...
How do I call one constructor from another in Java?
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252
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Use of 'const' for function parameters
...er. I lean the other way and mark parameters const whenever possible; it's more expressive. When I read someone else's code, I use little indicators like this to judge how much care they put into writing their code alongside things like magic numbers, commenting, and proper pointer usage, etc.
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Are Javascript arrays sparse?
...ing an actual array would be inefficient.
You'll have to ask someone with more knowledge about specific implementations to answer what excatly triggers the shift from dense to sparse, but your example should be perfectly safe. If you want to get a dense array, you should call the constructor with a...
Collect successive pairs from a stream
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Thank you! The more I study this library, the more I love it. I might finally start using streams. (StreamEx implements Iterable! Hurrah!)
– Aleksandr Dubinsky
May 30 '15 at 15:10
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Why does CSS work with fake elements?
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98
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Transposing a NumPy array
... just slice it with np.newaxis (or None, they're the same, newaxis is just more readable).
import numpy as np
a = np.array([5,4])[np.newaxis]
print(a)
print(a.T)
Generally speaking though, you don't ever need to worry about this. Adding the extra dimension is usually not what you want, if you're ...
How to “perfectly” override a dict?
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