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Efficiency of premature return in a function

This is a situation I encounter frequently as an inexperienced programmer and am wondering about particularly for an ambitious, speed-intensive project of mine I'm trying to optimize. For the major C-like languages (C, objC, C++, Java, C#, etc) and their usual compilers, will these two functions ru...
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Facebook Callback appends '#_=_' to Return URL

Facebook callback has started appending #_=_ hash underscore to the Return URL 23 Answers ...
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How to execute XPath one-liners from shell?

Is there a package out there, for Ubuntu and/or CentOS, that has a command-line tool that can execute an XPath one-liner like foo //element@attribute filename.xml or foo //element@attribute < filename.xml and return the results line by line? ...
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npm windows install globally results in npm ERR! extraneous

I am new to grunt and npm. So I am trying some "cookbook-example" on the site ' http://tech.pro/tutorial/1190/package-managers-an-introductory-guide-for-the-uninitiated-front-end-developer#front_end_developers '. You should not have to look there now, but I thought it could be good to share the site...
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What is Model in ModelAndView from Spring MVC?

... 7 Answers 7 Active O...
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Normalize data in pandas

Suppose I have a pandas data frame df : 5 Answers 5 ...
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how to use javascript Object.defineProperty

I looked around for how to use the Object.defineProperty method, but couldn't find anything decent. 10 Answers ...
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Why is ArrayDeque better than LinkedList

I am trying to to understand why Java's ArrayDeque is better than Java's LinkedList as they both implement Deque interface. ...
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Java's Virtual Machine and CLR

As a sort of follow up to the question called Differences between MSIL and Java bytecode? , what is the (major) differences or similarity in how the Java Virtual Machine works versus how the .NET Framework Common Language Runtime (CLR) works? ...
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Converting a Uniform Distribution to a Normal Distribution

How can I convert a uniform distribution (as most random number generators produce, e.g. between 0.0 and 1.0) into a normal distribution? What if I want a mean and standard deviation of my choosing? ...