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莱昂氏unix源代码分析 PDF - 文档下载 - 清泛网 - 专注C/C++及内核技术
...篇 UNIX操作系统版本6源代码
UNIX操作系统过程分类索引 3
UNIX操作系统文件及过程 5
UNIX操作系统定义的符号列表 7
UNIX操作系统源代码交叉引用列表 9
第一部分 初始化、进程初始化 25
第二部分 陷入、中断、系统调用和
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Removing projects in Sublime Text 2 and 3
How do you remove a project from Sublime Text 2 and 3's project windows ( Ctrl + Alt + P ) ?
5 Answers
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Printing tuple with string formatting in Python
So, i have this problem.
I got tuple (1,2,3) which i should print with string formatting.
eg.
14 Answers
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How do I calculate percentiles with python/numpy?
...centile() is available in numpy too.
import numpy as np
a = np.array([1,2,3,4,5])
p = np.percentile(a, 50) # return 50th percentile, e.g median.
print p
3.0
This ticket leads me to believe they won't be integrating percentile() into numpy anytime soon.
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Need a simple explanation of the inject method
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edited Apr 2 '09 at 16:37
answered Apr 2 '09 at 16:31
Dr...
Numpy: Divide each row by a vector element
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answered Oct 26 '13 at 2:38
JoshAdelJoshAdel
53.3k2222 gold badges125125 silver badges126126 bronze badges
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Find indices of elements equal to zero in a NumPy array
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numpy.where() is my favorite.
>>> x = numpy.array([1,0,2,0,3,0,4,5,6,7,8])
>>> numpy.where(x == 0)[0]
array([1, 3, 5])
share
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improve this answer
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Operation on every pair of element in a list
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233
Check out product() in the itertools module. It does exactly what you describe.
import iterto...
Numpy where function multiple conditions
...e values, then a and b returns b. So saying something like [0,1,2] and [2,3,4] will just give you [2,3,4]. Here it is in action:
In [230]: dists = np.arange(0,10,.5)
In [231]: r = 5
In [232]: dr = 1
In [233]: np.where(dists >= r)
Out[233]: (array([10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),)
I...
pandas: filter rows of DataFrame with operator chaining
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398
I'm not entirely sure what you want, and your last line of code does not help either, but anyw...