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Are there any O(1/n) algorithms?

...he following one: def get_faster(list): how_long = (1 / len(list)) * 100000 sleep(how_long) Clearly, this function spends less time as the input size grows … at least until some limit, enforced by the hardware (precision of the numbers, minimum of time that sleep can wait, time to proce...
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Get a pixel from HTML Canvas?

... 10 Answers 10 Active ...
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UIView Hide/Show with animation

... Objective C [UIView transitionWithView:button duration:0.4 options:UIViewAnimationOptionTransitionCrossDissolve animations:^{ button.hidden = YES; } completion:NULL]; Swift UIView.transitio...
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Draw in Canvas by finger, Android

... +200 Start By going through the Fingerpaint demo in the sdk sample. Another Sample: public class MainActivity extends Activity { D...
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Multiple dex files define Landroid/support/v4/accessibilityservice/AccessibilityServiceInfoCompat

... 305 Run gradle -q dependencies (or gradle -q :projectName:dependencies) to generate a dependency re...
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How do I iterate over an NSArray?

...d idiom to iterate over an NSArray. My code needs to be suitable for OS X 10.4+. 8 Answers ...
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Python list iterator behavior and next(iterator)

...tion to i being printed each iteration: >>> a = iter(list(range(10))) >>> for i in a: ... print(i) ... next(a) ... 0 1 2 3 4 5 6 7 8 9 So 0 is the output of print(i), 1 the return value from next(), echoed by the interactive interpreter, etc. There are just 5 iterations, ...
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Why am I seeing “TypeError: string indices must be integers”?

... answered May 20 '11 at 21:16 TamásTamás 42.9k1111 gold badges9090 silver badges118118 bronze badges ...
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Convert integer into its character equivalent, where 0 => a, 1 => b, etc

... lower case letters: var chr = String.fromCharCode(97 + n); // where n is 0, 1, 2 ... 97 is the ASCII code for lower case 'a'. If you want uppercase letters, replace 97 with 65 (uppercase 'A'). Note that if n > 25, you will get out of the range of letters. ...
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How to access pandas groupby dataframe by key

...group method: In [21]: gb.get_group('foo') Out[21]: A B C 0 foo 1.624345 5 2 foo -0.528172 11 4 foo 0.865408 14 Note: This doesn't require creating an intermediary dictionary / copy of every subdataframe for every group, so will be much more memory-efficient that creating...