大约有 3,200 项符合查询结果(耗时:0.0332秒) [XML]

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What's the difference between ASCII and Unicode?

...r parity) to encode more characters to support their language (to support "é", in French, for example). Just using one extra bit doubled the size of the original ASCII table to map up to 256 characters (2^8 = 256 characters). And not 2^7 as before (128). 10000010 -> é (e with acute accent - 130...
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Numpy argsort - what is it doing?

...*2) In [81]: %timeit using_argsort_twice(x) 100000 loops, best of 3: 3.45 µs per loop In [79]: %timeit using_indexed_assignment(x) 100000 loops, best of 3: 4.78 µs per loop In [80]: %timeit using_rankdata(x) 100000 loops, best of 3: 19 µs per loop In [82]: %timeit using_digitize(x) 10000 loop...
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How to truncate milliseconds off of a .NET DateTime

...nce is between 50% and about 100% depending on the runtime; net 4.7.2: 0.35µs vs 0.62 µs and core 3.1: 0.18 µs vs 0.12 µs that's micro-seconds (10^-6 seconds) – juwens Feb 3 at 15:55 ...
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How to extract the n-th elements from a list of tuples?

...ray(elements)[:,1] and the timings: list comprehension: 4.73 ms ± 206 µs per loop list(map): 5.3 ms ± 167 µs per loop dict: 2.25 ms ± 103 µs per loop list(zip) 5.2 ms ± 252 µs per loop numpy array: 28.7 ms ± 1.88 ms per loop Note that map() a...
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Find the most frequent number in a numpy vector

...t collections.Counter(a).most_common()[0][0] 100000 loops, best of 3: 11.3 µs per loop >>> >>> import numpy >>> numpy.bincount(a).argmax() 3 >>> %timeit numpy.bincount(a).argmax() 100 loops, best of 3: 2.84 ms per loop >>> >>> import scipy.sta...
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Replace all elements of Python NumPy Array that are greater than some value

...r case: In [292]: timeit np.minimum(a, 255) 100000 loops, best of 3: 19.6 µs per loop In [293]: %%timeit .....: c = np.copy(a) .....: c[a>255] = 255 .....: 10000 loops, best of 3: 86.6 µs per loop If you want to do it in-place (i.e., modify arr instead of creating result) you can ...
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Improving bulk insert performance in Entity framework [duplicate]

... answered Nov 6 '13 at 12:21 Måns TånnerydMåns Tånneryd 47344 silver badges88 bronze badges ...
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How to reset index in a pandas dataframe? [duplicate]

...n that an intermediate result is being cached. 10000 loops, best of 3: 105 µs per loop In [299]: %timeit df.index = pd.RangeIndex(len(df.index)) The slowest run took 15.05 times longer than the fastest. This could mean that an intermediate result is being cached. 100000 loops, best of 3: 7.84 µs ...
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Close and Dispose - which to call?

...nything that explicitly utilizes Open(), AFAIK. – René Kåbis Oct 1 '16 at 18:05 I'm not sure about other DBMS, but y...
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DateTime.ToString(“MM/dd/yyyy HH:mm:ss.fff”) resulted in something like “09/14/2013 07.20.31.371”

... answered Sep 2 '15 at 8:06 Håkon SeljåsenHåkon Seljåsen 46744 silver badges1212 bronze badges ...