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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...
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)...
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 ...
How to calculate date difference in JavaScript?
... looking for an accurate solution).
– Alexandre Salomé
May 20 '14 at 12:50
6
...
How do I get user IP address in django?
... answered May 12 '11 at 9:38
SævarSævar
1,38788 silver badges1212 bronze badges
...
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...
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"));
...
Visual Studio 2010 - C++ project - remove *.sdf file
...e, even if I had disabled the database.
– Anders Lindén
May 10 '16 at 13:44
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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");
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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...
