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Why are my CSS3 media queries not working?
...dconservatoryredconservatory
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Distinct in Linq based on only one field of the table
... field?
– user585440
Jan 6 '16 at 2:01
6
@user585440: In that case, you use an anonymous type lik...
error: request for member '..' in '..' which is of non-class type
...ola Golubyev
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Last segment of URL in jquery
...3743
– Sebastian Barth
May 18 at 14:01
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What is the effect of extern “C” in C++?
...ration of your function. Your function definition is contained in a binary format (that was compiled by your C++ compiler) that the client C linker will then link to using the C name.
Since C++ has overloading of function names and C does not, the C++ compiler cannot just use the function name as a ...
Forking vs. Branching in GitHub
...hould work in their forks (~sandboxes) and contribute their changes in the form of pull request. Since DVCS makes it possible, we adapted it as a "best practice" and successfully use this even in the smallest projects...
– intland
Apr 26 '12 at 12:07
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How to create a shared library with cmake?
...
Create a template file named mylib.pc.in (see pc(5) manpage for more information):
prefix=@CMAKE_INSTALL_PREFIX@
exec_prefix=@CMAKE_INSTALL_PREFIX@
libdir=${exec_prefix}/@CMAKE_INSTALL_LIBDIR@
includedir=${prefix}/@CMAKE_INSTALL_INCLUDEDIR@
Name: @PROJECT_NAME@
Description: @PROJECT_DESCRIPTIO...
Extract month and year from a zoo::yearmon object
...ere is your example date (properly created!)
date1 <- as.yearmon("Mar 2012", "%b %Y")
Then we can extract the date parts as required:
> format(date1, "%b") ## Month, char, abbreviated
[1] "Mar"
> format(date1, "%Y") ## Year with century
[1] "2012"
> format(date1, "%m") ## numeric mon...
淘宝大秒系统设计详解 - 更多技术 - 清泛网 - 专注C/C++及内核技术
...热点问题的解决思路和实践经验。一些数据
大家还记得2013年的小米秒杀吗？三款小米手机各11万台开卖，走的都是大秒系统，3分钟后成为双十一第一家也是最快破亿的旗舰店。经过日志统计，前端系统双11峰值有效请求约60w以...
Assign pandas dataframe column dtypes
...f = pd.DataFrame({'x': {0: 'a', 1: 'b'}, 'y': {0: '1', 1: '2'}, 'z': {0: '2018-05-01', 1: '2018-05-02'}})
df.dtypes
x object
y object
z object
dtype: object
df
x y z
0 a 1 2018-05-01
1 b 2 2018-05-02
You can apply these to each column you want to convert:
df["y"] ...