大约有 1,800 项符合查询结果(耗时:0.0134秒) [XML]
Understanding repr( ) function in Python
... by object.__repr__). That was gradually toned down over the years, and by 2.7 and 3.x it's just true "for many types", and there are exceptions even in the stdlib (e.g,, a namedtuple type created as a local will give you a repr you can't eval), but it was the original idea.
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How to send POST request?
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How to get json result?
– Yohanes AI
Apr 26 '18 at 9:03
13
If you need to send...
How to share my Docker-Image without using the Docker-Hub?
...ve: when I push an image that derives from another image (let's say python:2.7) to a registry, the parent image doesn't need to be uploaded more than once unless it changes. Can I save partial images to achieve a similar file size optimization? I'm jumping through these hoops because I'm a hobbyist ...
Why doesn't Python have a sign function?
...th.copysign(1, float("-nan")) returns 1.0 instead of -1.0 when I try it in 2.7
– dansalmo
May 24 '13 at 3:39
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jQuery UI Sortable Position
... answered Oct 18 '12 at 19:37
i_ai_a
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Fast way of counting non-zero bits in positive integer
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Did you benchmark this? On my machine using python 2.7, I found this to actually be a bit slower than bin(n).count("1").
– David Weldon
Mar 22 '12 at 20:53
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Git submodule push
...the submodule inside of another submodule will not be pushed.
With git 2.7 (January 2016), a simple git push will be enough to push the parent repo... and all its submodules.
See commit d34141c, commit f5c7cd9 (03 Dec 2015), commit f5c7cd9 (03 Dec 2015), and commit b33a15b (17 Nov 2015) by Mike...
Why can't non-default arguments follow default arguments?
... feature of Python 3. Too bad the patch to backport them to Python 2.6 and 2.7 was just left to expire.
– Nick Chammas
Mar 20 '15 at 18:42
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How do I represent a hextile/hex grid in memory?
... answered Jun 1 '13 at 15:59
a paid nerda paid nerd
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How can I obtain the element-wise logical NOT of a pandas Series?
...8]:
0 False
1 False
2 True
3 False
dtype: bool
Using Python2.7, NumPy 1.8.0, Pandas 0.13.1:
In [119]: s = pd.Series([True, True, False, True]*10000)
In [10]: %timeit np.invert(s)
10000 loops, best of 3: 91.8 µs per loop
In [11]: %timeit ~s
10000 loops, best of 3: 73.5 µs per lo...
