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Difference between java.util.Random and java.security.SecureRandom
...are cases where you are only interested in good statistical properties and excellent performance, but you don't really care about security: Monte-Carlo simulations are a good example. I made comments about that in a similar answer, maybe you'll find it useful.
– emboss
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Autoincrement VersionCode with gradle extra properties
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A slightly tightened-up version of CommonsWare's excellent answer creates the version file if it doesn't exist:
def Properties versionProps = new Properties()
def versionPropsFile = file('version.properties')
if(versionPropsFile.exists())
versionProps.load(new FileInpu...
What ports does RabbitMQ use?
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Excellent answer. If anything, you've gone overboard a little.
– Darth Egregious
May 27 '15 at 15:28
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Getting image dimensions without reading the entire file
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Excellent answer. If you can get a reference to PresentationCore in your project, this is the way to go.
– ojrac
Jan 11 '10 at 17:18
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How to sort a list in Scala by two fields?
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Excellent. Or to sort in descending order rows.sortBy(r => (-r.field1, -r.field2))
– Brent Faust
Aug 25 '17 at 23:32
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What is declarative programming? [closed]
...on, but doing it "Explain Like I'm 5" style with context and practicality. Excellent answer.
– monsto
Dec 15 '19 at 16:02
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MySQL JOIN the most recent row only?
...ause. How would you go about to include the NULL values and still keep the excellent performance of this query?
– aanders77
Jul 8 '19 at 18:26
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What are the differences between Deferred, Promise and Future in JavaScript?
...s phrase in your mind:
A promise is an asynchronous value.
This is an excellent description: a promise is like a variable from the future - a first-class reference to something that, at some point, will exist (or happen).
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How can I obtain the element-wise logical NOT of a pandas Series?
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In support to the excellent answers here, and for future convenience, there may be a case where you want to flip the truth values in the columns and have other values remain the same (nan values for instance)
In[1]: series = pd.Series([True, n...
How can I use numpy.correlate to do autocorrelation?
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Your question 1 has been already extensively discussed in several excellent answers here.
I thought to share with you a few lines of code that allow you to compute the autocorrelation of a signal based only on the mathematical properties of the autocorrelation. That is, the autocorrelation...