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Java: function for arrays like PHP's join()?

... 307 Starting from Java8 it is possible to use String.join(). String.join(", ", new String[]{"Hell...
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Use JavaScript to place cursor at end of text in text input element

... 32 Answers 32 Active ...
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Calculating arithmetic mean (one type of average) in Python

... return float(sum(numbers)) / max(len(numbers), 1) >>> mean([1,2,3,4]) 2.5 >>> mean([]) 0.0 In numpy, there's numpy.mean(). share | improve this answer | ...
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Ruby arrays: %w vs %W

... 236 %w quotes like single quotes '' (no variable interpolation, fewer escape sequences), while %W q...
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Passing an integer by reference in Python

...he integer in a container which can be mutated: def change(x): x[0] = 3 x = [1] change(x) print x This is ugly/clumsy at best, but you're not going to do any better in Python. The reason is because in Python, assignment (=) takes whatever object is the result of the right hand side and binds...
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Adjust UIButton font size to width

... answered May 30 '11 at 17:07 elibudelibud 7,69922 gold badges1818 silver badges2121 bronze badges ...
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Problems with lib-icu dependency when installing Symfony 2.3.x via Composer

...; Intl::getIcuDataVersion(); attention: not needed anymore ( symfony 2.3 has meanwhile been released ) add the minimum stability flag @dev or @rc to your dependency like this please: composer create-project symfony/framework-standard-edition mynewerproject/ 2.3.*@dev The default stability i...
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What is the explanation for these bizarre JavaScript behaviours mentioned in the 'Wat' talk for Code

...we already know, ToPrimitive([]) is the empty string, and according to §9.3.1, ToNumber("") is 0. {} + {} Similar to the previous case, the first {} is parsed as a block with empty return value. Again, +{} is the same as ToNumber(ToPrimitive({})), and ToPrimitive({}) is "[object Object]" (see [] +...
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What do 'statically linked' and 'dynamically linked' mean?

... | edited Dec 13 '11 at 7:48 answered Nov 22 '08 at 23:14 ...
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Creating an empty Pandas DataFrame, then filling it?

... 350 Here's a couple of suggestions: Use date_range for the index: import datetime import pandas ...