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How should I escape strings in JSON?

... | edited Apr 22 '14 at 5:44 answered Jun 11 '10 at 3:58 ...
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Detect current device with UI_USER_INTERFACE_IDIOM() in Swift

... answered Jun 5 '14 at 11:46 CezarCezar 49.8k1616 gold badges8383 silver badges8686 bronze badges ...
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Are there disadvantages to using a generic varchar(255) for all text-based fields?

...single-byte content (e.g. ascii or latin1 characters). And likewise utf8mb4 character set causes the string to pad out to four bytes per character in memory. So a VARCHAR(255) in utf8 storing a short string like "No opinion" takes 11 bytes on disk (ten lower-charset characters, plus one byte for l...
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Python 3.x rounding behavior

...his issue. There is more than one method of rounding in common use. IEEE 754, the international standard for floating-point math, defines five different rounding methods (the one used by Python 3.0 is the default). And there are others. This behavior is not as widely known as it ought to be. AppleSc...
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Origin is not allowed by Access-Control-Allow-Origin

...ited Mar 1 '19 at 16:36 user229044♦ 202k3535 gold badges298298 silver badges309309 bronze badges answered Apr 13 '12 at 14:54 ...
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What is the best way to profile javascript execution? [closed]

...| edited Nov 23 '16 at 17:48 T.Todua 41.4k1515 gold badges181181 silver badges171171 bronze badges answe...
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Is there a CSS selector for elements containing certain text?

... 419 If I read the specification correctly, no. You can match on an element, the name of an attr...
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Is there a way to squash a number of commits non-interactively?

... edited Nov 13 '19 at 21:24 Bucket 6,72788 gold badges2828 silver badges4040 bronze badges answered Sep ...
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SyntaxError: Use of const in strict mode

...ny), and was not enabled by default in Node.js 0.10 or 0.12. Since Node.js 4.x, “All shipping [ES2015] features, which V8 considers stable, are turned on by default on Node.js and do NOT require any kind of runtime flag.”. Node.js docs has an overview of what ES2015 features are enabled by defau...
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Apply multiple functions to multiple groupby columns

... similar dataframe as the one from above df = pd.DataFrame(np.random.rand(4,4), columns=list('abcd')) df['group'] = [0, 0, 1, 1] df a b c d group 0 0.418500 0.030955 0.874869 0.145641 0 1 0.446069 0.901153 0.095052 0.487040 0 2 0.843026 0.9361...