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How do I achieve the theoretical mam>x m>imum of 4 FLOPs per cycle?
...ting point operations (double precision) per cycle be achieved on a modern m>x m>86-64 Intel CPU?
4 Answers
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OrderBy descending in Lambda em>x m>pression?
I know in normal Linq grammar, orderby m>x m>m>x m>m>x m> descending is very easy, but how do I do this in Lambda em>x m>pression?
6 Answers
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How do I insert a linebreak where the cursor is without entering into insert mode in Vim?
...k where the cursor is in Vim without entering into insert mode? Here's an em>x m>ample ( [m>x m>] means cursor is on m>x m> ):
15 Answer...
Calculate business days
I need a method for adding "business days" in PHP. For em>x m>ample, Friday 12/5 + 3 business days = Wednesday 12/10.
36 Answers...
What is the most pythonic way to check if an object is a number?
...from fractions import Fraction
... for n in [2, 2.0, Decimal('2.0'), complem>x m>(2, 0), Fraction(2, 1), '2']:
... print(f'{n!r:>14} {isinstance(n, Number)}')
2 True
2.0 True
Decimal('2.0') True
(2+0j) True
Fraction(2, 1) True
'2' False
This is, o...
How does collections.defaultdict work?
I've read the em>x m>amples in python docs, but still can't figure out what this method means. Can somebody help? Here are two em>x m>amples from the python docs
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Choose Git merge strategy for specific files (“ours”, “mine”, “theirs”)
...ths>...
--ours
--theirs
When checking out paths from the indem>x m>, check out stage #2 (ours) or #3 (theirs) for unmerged paths.
The indem>x m> may contain unmerged entries because of a previous failed merge. By default, if you try to check out such an entry from the indem>x m>, the checkout op...
What does f+++++++++ mean in rsync logs?
... lines:
1 - A huge advantage of rsync is that after an interruption the nem>x m>t time it continues smoothly.
The nem>x m>t rsync invocation will not transfer the files again, that it had already transferred, if they were not changed in the meantime. But it will start checking all the files again from the b...
Python: fastest way to create a list of n lists
...
The probably only way which is marginally faster than
d = [[] for m>x m> in m>x m>range(n)]
is
from itertools import repeat
d = [[] for i in repeat(None, n)]
It does not have to create a new int object in every iteration and is about 15 % faster on my machine.
Edit: Using NumPy, you can avoid t...