大约有 44,500 项符合查询结果（耗时：0.0352秒） [XML]
Check number of arguments passed to a Bash script
...nts are valid. It allows a single argument or two.
[[ ($# -eq 1 || ($# -eq 2 && $2 == <glob pattern>)) && $1 =~ <regex pattern> ]]
For pure arithmetic expressions, using (( )) to some may still be better, but they are still possible in [[ ]] with its arithmetic operators...
mongodb group values by multiple fields
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207
TLDR Summary
In modern MongoDB releases you can brute force this with $slice just off the bas...
Bootstrap: How do I identify the Bootstrap version?
... bootstrap.css you should have comments like the below:
/*!
* Bootstrap v2.3.1
*
* Copyright 2012 Twitter, Inc
* Licensed under the Apache License v2.0
* http://www.apache.org/licenses/LICENSE-2.0
*
* Designed and built with all the love in the world @twitter by @mdo and @fat.
*/
If they ...
Find all packages installed with easy_install/pip?
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edited Nov 2 '17 at 13:31
TheodorosPloumis
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How to read a large file - line by line?
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1288
The correct, fully Pythonic way to read a file is the following:
with open(...) as f:
for...
Invalid syntax when using “print”? [duplicate]
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232
That is because in Python 3, they have replaced the print statement with the print function.
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Python - Count elements in list [duplicate]
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edited Dec 4 '14 at 23:26
Charlie
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answered Nov 9 '10 at ...
How do we determine the number of days for a given month in python [duplicate]
...ulate the number of days for a given month in python. If a user inputs Feb 2011 the program should be able to tell me that Feb 2011 has 28 days. Could any one tell me which library I should use to determine the length of a given month.
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Iterating over a numpy array
...think you're looking for the ndenumerate.
>>> a =numpy.array([[1,2],[3,4],[5,6]])
>>> for (x,y), value in numpy.ndenumerate(a):
... print x,y
...
0 0
0 1
1 0
1 1
2 0
2 1
Regarding the performance. It is a bit slower than a list comprehension.
X = np.zeros((100, 100, 100))
%...
Use a list of values to select rows from a pandas dataframe [duplicate]
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1273
You can use isin method:
In [1]: df = pd.DataFrame({'A': [5,6,3,4], 'B': [1,2,3,5]})
In [2]:...