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How to calculate moving average using NumPy?

...± std. dev. of 7 runs, 100 loops each) Numpy array rolling : 31.3 ms ± 91.9 µs per loop (mean ± std. dev. of 7 runs, 10 loops each) Numpy array rolling, edge handling : 61.1 ms ± 55.9 µs per loop (mean ± std. dev. of 7 runs, 10 loops each) Timing, Large window (n=1001) Direct "for" loo...
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What belongs in an educational tool to demonstrate the unwarranted assumptions people make in C/C++?

... 91 The order of evaluation of subexpressions, including the arguments of a function call and ope...
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What is a “cache-friendly” code?

... 91 Optimizing cache usage largely comes down to two factors. Locality of Reference The first facto...
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Controlling fps with requestAnimationFrame?

... Hydroper 2,91833 gold badges1818 silver badges4848 bronze badges answered Nov 4 '13 at 16:25 markEmarkE ...
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What is referential transparency?

... 91 A referentially transparent function is one which only depends on its input. ...
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Cartesian product of x and y array points into single array of 2D points

...d. dev. of 7 runs, 100 loops each) cartesian_product_transpose: 7.87 ms ± 91.5 µs per loop (mean ± std. dev. of 7 runs, 100 loops each) cartesian_product_itertools: 518 ms ± 5.5 ms per loop (mean ± std. dev. of 7 runs, 1 loop each) In [6]: test_cartesian(*(x50 * 4)) cartesian_product: 169 ms ...
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What is the copy-and-swap idiom?

... Tony DelroyTony Delroy 91k1010 gold badges149149 silver badges219219 bronze badges ...
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Getting the closest string match

... 91 This problem turns up all the time in bioinformatics. The accepted answer above (which was grea...
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Why does Java switch on contiguous ints appear to run faster with added cases?

...00000024f017b: cmp edx,0x1 0x00000000024f017e: jg 0x00000000024f0191 0x00000000024f0180: test edx,edx 0x00000000024f0182: je 0x00000000024f01cb 0x00000000024f0184: mov ebp,edx 0x00000000024f0186: mov edx,0x17 0x00000000024f018b: call 0x00000000024c90a0 ; OopMap{off=...
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Usage of __slots__?

...d >>> min(timeit.repeat(get_set_delete_fn(slotted))) 0.2846834529991611 >>> min(timeit.repeat(get_set_delete_fn(not_slotted))) 0.3664822799983085 The slotted access is almost 30% faster in Python 3.5 on Ubuntu. >>> 0.3664822799983085 / 0.2846834529991611 1.287332565828434...