大约有 900 项符合查询结果(耗时:0.0174秒) [XML]

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How to compare Unicode characters that “look alike”?

...ain(string[] args) { char first = 'μ'; char second = 'µ'; // Technically you only need to normalize U+00B5 to obtain U+03BC, but // if you're unsure which character is which, you can safely normalize both string firstNormalized = first.ToString().Normal...
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Insert an element at a specific index in a list and return the updated list

...ents for Python 3.4.5: Mine answer using sliced insertion - Fastest (3.08 µsec per loop) mquadri$ python3 -m timeit -s "a = list(range(1000))" "b = a[:]; b[500:500] = [3]" 100000 loops, best of 3: 3.08 µsec per loop ATOzTOA's accepted answer based on merge of sliced lists - Second (6.71 µsec...
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“Cloning” row or column vectors

...t;>> %timeit np.array(np.broadcast_to(x, (reps, n))) 10.2 ms ± 62.3 µs per loop (mean ± std. dev. of 7 runs, 100 loops each) >>> %timeit np.repeat(x[np.newaxis, :], reps, axis=0) 9.88 ms ± 52.4 µs per loop (mean ± std. dev. of 7 runs, 100 loops each) >>> %timeit np.ti...
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Python dictionary: Get list of values for list of keys

...imeit map(lambda _: m[_], l) # using 'map' 1000000 loops, best of 3: 1.66 µs per loop In[5]: %timeit list(m[_] for _ in l) # a generator expression passed to a list constructor. 1000000 loops, best of 3: 1.65 µs per loop In[6]: %timeit map(m.__getitem__, l) The slowest run took 4.01 times longer...
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Return multiple columns from pandas apply()

...best of 3: 2.61 ms per loop Return tuple: 1000 loops, best of 3: 819 µs per loop share | improve this answer | follow | ...
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SQL Server: Make all UPPER case to Proper Case/Title Case

...--------- All Upper Case and Some lower Ää Öö Üü Éé Øø Cc Ææ share | improve this answer | follow | ...
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How should I escape strings in JSON?

...ibrary in your language, you don't want to use one (I wouldn't suggest this¹), or you're writing a JSON library, read on. Escape it according to the RFC. JSON is pretty liberal: The only characters you must escape are \, ", and control codes (anything less than U+0020). This structure of escaping...
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How to select rows from a DataFrame based on column values?

...imeit mask = df['A'].values == 'foo' %timeit mask = df['A'] == 'foo' 5.84 µs ± 195 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each) 166 µs ± 4.45 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each) Evaluating the mask with the numpy array is ~ 30 times faster. This is pa...
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How to calculate moving average using NumPy?

...an ± std. dev. of 7 runs, 1 loop each) scipy.convolve : 1.07 ms ± 26.7 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each) scipy.convolve, edge handling : 4.68 ms ± 9.69 µs per loop (mean ± std. dev. of 7 runs, 100 loops each) numpy.cumsum : 5.31 ms ± 5.11 µs per loop (mean ± s...
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Difference between VARCHAR and TEXT in MySQL [duplicate]

...ring can be part of an index More Details TEXT has a fixed max size of 2¹⁶-1 = 65535 characters. VARCHAR has a variable max size M up to M = 2¹⁶-1. So you cannot choose the size of TEXT but you can for a VARCHAR. The other difference is, that you cannot put an index (except for a fulltext ...