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Excel RTD(Excel Real-Time Data)实时刷新数据技术 - C/C++ - 清泛网 - 专注C/C++及内核技术
...等等。至此，一个RTD Server的生命周期就结束了。
一 C#版实例
来源：http://www.cnblogs.com/makemelaugh/archive/2008/11/06/1327960.html
创建一个项目ExcelRTD，添加Microsoft.Office.Interop.Excel引用。创建一个类MarketData.cs，这个类继承IRtdServer接口...
正则表达式 30 分钟入门教程 - 更多技术 - 清泛网 - 专注C/C++及内核技术
...e 30 Minute Regex Tutorial。由于评论里有过长的URL,所以本页排版比较...
来园子之前写的一篇正则表达式教程，部分翻译自codeproject的The 30 Minute Regex Tutorial。
由于评论里有过长的URL,所以本页排版比较混乱,推荐你到原处...
Remove duplicate elements from array in Ruby
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727
array = array.uniq
uniq removes all duplicate elements and retains all unique elements in the...
Regular expression that matches valid IPv6 addresses
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254
I was unable to get @Factor Mystic's answer to work with POSIX regular expressions, so I wrote...
Pandas index column title or name
...0]:
Column 1
foo
Apples 1
Oranges 2
Puppies 3
Ducks 4
share
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What are the differences between json and simplejson Python modules?
...
json is simplejson, added to the stdlib. But since json was added in 2.6, simplejson has the advantage of working on more Python versions (2.4+).
simplejson is also updated more frequently than Python, so if you need (or want) the latest version, it's best to use simplejson itself, if possib...
All combinations of a list of lists
...eed itertools.product:
>>> import itertools
>>> a = [[1,2,3],[4,5,6],[7,8,9,10]]
>>> list(itertools.product(*a))
[(1, 4, 7), (1, 4, 8), (1, 4, 9), (1, 4, 10), (1, 5, 7), (1, 5, 8), (1, 5, 9), (1, 5, 10), (1, 6, 7), (1, 6, 8), (1, 6, 9), (1, 6, 10), (2, 4, 7), (2, 4, 8), (...
C++并发编程（中文版） - 文档下载 - 清泛网 - 专注C/C++及内核技术
...… 1
1.1 什么是并发… 1
1.1.1 计算机系统的并发… 1
1.1.2 并发的方法… 3
1.2 为什么使用并发… 4
1.2.1 因划分重点而使用并发… 5
1.2.2 为了提高性能而使用并发… 5
1.2.3 什么时候不使用并发… 6
1.3 在C++中使用并发和多线程… ...
How do I make a matrix from a list of vectors in R?
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124
One option is to use do.call():
> do.call(rbind, a)
[,1] [,2] [,3] [,4] [,5] [,6]
...
pandas: filter rows of DataFrame with operator chaining
...olean index.
In [96]: df
Out[96]:
A B C D
a 1 4 9 1
b 4 5 0 2
c 5 5 1 0
d 1 3 9 6
In [99]: df[(df.A == 1) & (df.D == 6)]
Out[99]:
A B C D
d 1 3 9 6
If you want to chain methods, you can add your own mask method and use that one.
In [90]: def mask(df, key, val...