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Removing multiple keys from a dictionary safely
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edited Jan 16 '18 at 8:22
answered Jan 24 '12 at 23:20
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Peak-finding algorithm for Python/SciPy
...ant to understand well its parameters width, threshold, distance and above all prominence to get a good peak extraction.
According to my tests and the documentation, the concept of prominence is "the useful concept" to keep the good peaks, and discard the noisy peaks.
What is (topographic) promine...
How do I update/upsert a document in Mongoose?
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Mongoose now supports this natively with findOneAndUpdate (calls MongoDB findAndModify).
The upsert = true option creates the object if it doesn't exist. defaults to false.
var query = {'username': req.user.username};
req.newData.username = req.user.username;
MyModel.findOneAndUpd...
Generating Guids in Ruby
I have problem that is really easily solved with Guids.
10 Answers
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What is NSLayoutConstraint “UIView-Encapsulated-Layout-Height” and how should I go about forcing it
...eels like an Apple bug, I think it's probably the right thing to do. Especially in light of the fact that Apple recalculate this constraint and everything does lay out correctly after the error prints.
– Rog
Mar 18 '15 at 12:15
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Installing SciPy with pip
It is possible to install NumPy with pip using pip install numpy .
15 Answers
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How to embed a text file in a .NET assembly?
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Ah-hah, all I needed to do was add a My. to the front (i.e. My.Resources.solutions) Simples!
– Spedge
Jun 13 '09 at 14:40
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Execute method on startup in Spring
...n and it executes just after the startup, but then it will execute periodically.
13 Answers
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How to generate a random number in C++?
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The most fundamental problem of your test application is that you call srand once and then call rand one time and exit.
The whole point of srand function is to initialize the sequence of pseudo-random numbers with a random seed.
It means that if you pass the same value to srand in two differ...
What is the difference between linear regression and logistic regression?
...e, and greater than 1 whereas probability can not. As regression might actually
produce probabilities that could be less than 0, or even bigger than
1, logistic regression was introduced.
Source: http://gerardnico.com/wiki/data_mining/simple_logistic_regression
Outcome
In linear regression, the...