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How do we determine the number of days for a given month in python [duplicate]

...From 0 (Monday) to 6 (Sunday) by default. – Nuno André Apr 2 '19 at 21:54 @NunoAndré I know. I was explaining that i...
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Rank items in an array using Python/NumPy, without sorting array twice

...) %%timeit -n10000 -r5 x = (rankdata(l) - 1).astype(int) >>> 128 µs ± 2.72 µs per loop (mean ± std. dev. of 5 runs, 10000 loops each) %%timeit -n10000 -r5 a = np.array(l) r = a.argsort().argsort() >>> 69.1 µs ± 464 ns per loop (mean ± std. dev. of 5 runs, 10000 loops each)...
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Python, compute list difference

...ange(10) b = range(10/2) timeit[diff(a, b)] 100000 loops, best of 3: 1.97 µs per loop timeit[set_diff(a, b)] 100000 loops, best of 3: 2.71 µs per loop timeit[diff_lamb_hension(a, b)] 100000 loops, best of 3: 2.1 µs per loop timeit[diff_lamb_filter(a, b)] 100000 loops, best of 3: 3.58 µs per ...
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How to calculate date difference in JavaScript?

... looking for an accurate solution). – Alexandre Salomé May 20 '14 at 12:50 6 ...
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How do I get user IP address in django?

... answered May 12 '11 at 9:38 SævarSævar 1,38788 silver badges1212 bronze badges ...
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What is the most efficient string concatenation method in python?

...ng/path/' The contenders are f'http://{domain}/{lang}/{path}' - 0.151 µs 'http://%s/%s/%s' % (domain, lang, path) - 0.321 µs 'http://' + domain + '/' + lang + '/' + path - 0.356 µs ''.join(('http://', domain, '/', lang, '/', path)) - 0.249 µs (notice that building a constant-length tuple i...
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Ignoring accented letters in string comparison

...re details on MichKap's blog (RIP...). The principle is that is it turns 'é' into 2 successive chars 'e', acute. It then iterates through the chars and skips the diacritics. "héllo" becomes "he<acute>llo", which in turn becomes "hello". Debug.Assert("hello"==RemoveDiacritics("héllo")); ...
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Visual Studio 2010 - C++ project - remove *.sdf file

...e, even if I had disabled the database. – Anders Lindén May 10 '16 at 13:44 add a comment  |  ...
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java.net.URLEncoder.encode(String) is deprecated, what should I use instead?

...stringEncoded = URLEncoder.encode( "This text must be encoded! aeiou áéíóú ñ, peace!", "UTF-8"); share | improve this answer | follow | ...
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Drop rows with all zeros in pandas data frame

...,0,1]}) In [91]: %timeit df[(df.T != 0).any()] 1000 loops, best of 3: 686 µs per loop In [92]: df[(df.sum(axis=1) != 0)] Out[92]: a b 1 0 1 2 1 0 3 1 1 In [95]: %timeit df[(df.sum(axis=1) != 0)] 1000 loops, best of 3: 495 µs per loop In [96]: %timeit df[df.values.sum(axis=1) != 0] 1...