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Should accessing SharedPreferences be done off the UI Thread?
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How to make exe files from a node.js app?
...ther intensely useful stuff like how to compile the JS (or at least crunch down to byte code depending on how old-fashioned you want to be about the word "compile").
– Erik Reppen
Apr 24 '15 at 16:08
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The shortest possible output from git log containing author and date
...sing a mailmap. I have abbreviated the names of colleagues at my workplace down to only their first name :-)
– andsens
Oct 18 '13 at 5:04
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LINQ to Entities does not recognize the method 'System.String ToString()' method, and this method ca
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@dotNET this is one of those scenarios where an ORM falls down on it's face. I think it's ok in those situations to drop down into either straight SQL via ExecuteQuery or by using Entity SQL with ObjectQuery<T>
– Josh
Mar 27 '13 at 12:15
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lenses, fclabels, data-accessor - which library for structure access and mutation is better
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Learning WebGL and three.js [closed]
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There is a very good online course - Interactive 3D Graphics at https://www.udacity.com/course/cs291 on THREE.js. This course includes assignments also to get hands-on experience.
It covers all the basic concepts of Three.js and Computer Graphics
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What is the lifetime of a static variable in a C++ function?
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java: ArrayList - how can i check if an index exists?
... Remember to avoid using try/catch for this kind of work, it will slow down your program by 50% or maybe more.. error checking adds like a strap to your existing code to slow it down.. better to avoid it in critical areas. Checking for length in this case is the best thing you can do, since the ...
Scanner vs. StringTokenizer vs. String.Split
...trading some flexibility, to get a speed-boost, which I did at JFastParser https://github.com/hughperkins/jfastparser
Testing on a string containing one million doubles:
Scanner: 10642 ms
Split: 715 ms
StringTokenizer: 544ms
JFastParser: 290ms
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Cleaner way to update nested structures
...ormation across the entire data structure, according to some strategy (top-down, bottom-up), and based on rules that match against the value at some point in the structure. The classical example is transforming an AST for a language, perhaps to evaluate, simplify, or collect information. Kiama suppo...