大约有 9,000 项符合查询结果（耗时：0.0223秒） [XML]
Python argparse ignore unrecognised arguments
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Nor did I! I even missed it in the docs docs.python.org/library/…. Thanks
– joedborg
Oct 10 '12 at 14:11
1
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Calculating Pearson correlation and significance in Python
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@dfrankow I think it's because imap cannot handle float. python gives an TypeError: unsupported operand type(s) for -: 'itertools.imap' and 'float' at num = psum - (sum_x * sum_y/n)
– alvas
Jan 24 '13 at 14:17
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ros 基本调试 - 更多技术 - 清泛网 - 专注C/C++及内核技术
...出到文件
2.1.3将调试文字输出到屏幕
2.1.4修改波特率（数据传输速率）
2.2KDBG
2.3GDB
2.4WINDBG
3.生成更多输出
3.1编译时开启verbosity功能
3.1.1 reactos类型
3.1.1.1加入我们自己的debug消息
3.1.2 wine的类型
3.2 运行时开启verbosity
3.3 ...
What is the pythonic way to detect the last element in a 'for' loop?
I'd like to know the best way (more compact and "pythonic" way) to do a special treatment for the last element in a for loop. There is a piece of code that should be called only between elements, being suppressed in the last one.
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How is set() implemented?
I've seen people say that set objects in python have O(1) membership-checking. How are they implemented internally to allow this? What sort of data structure does it use? What other implications does that implementation have?
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Are list-comprehensions and functional functions faster than “for loops”?
In terms of performance in Python, is a list-comprehension, or functions like map() , filter() and reduce() faster than a for loop? Why, technically, they run in a C speed , while the for loop runs in the python virtual machine speed ?.
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Extract a part of the filepath (a directory) in Python
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In Python 3.4 you can use the pathlib module:
>>> from pathlib import Path
>>> p = Path('C:\Program Files\Internet Explorer\iexplore.exe')
>>> p.name
'iexplore.exe'
>>> p.suffix
'.exe'
>&g...
Python function global variables?
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Within a Python scope, any assignment to a variable not already declared within that scope creates a new local variable unless that variable is declared earlier in the function as referring to a globally scoped variable with the keywo...
Share Large, Read-Only Numpy Array Between Multiprocessing Processes
...know about this one.
No. Refer to example below.
Example
#!/usr/bin/env python
from multiprocessing import Process
import sharedmem
import numpy
def do_work(data, start):
data[start] = 0;
def split_work(num):
n = 20
width = n/num
shared = sharedmem.empty(n)
shared[:] = nump...
Python: Ignore 'Incorrect padding' error when base64 decoding
...ding === always works. Any extra = chars are seemingly safely discarded by Python.
– Acumenus
Nov 24 '19 at 21:30
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