大约有 40,000 项符合查询结果（耗时：0.0292秒） [XML]
Nginx缓存解决方案：SRCache - 更多技术 - 清泛网 - 专注C/C++及内核技术
...效了？试试下面的命令：
shell> curl -v "http://foo.com/test?x=123&y=abc"
< X-SRCache-Fetch-Status: HIT
< X-SRCache-Store-Status: BYPASS
目前我主要用srcache来缓存一些接口的json结果集，这些接口同时也支持jsonp，也就是客户端传递一个callback参数之...
Why use strict and warnings?
...
Borodin
123k99 gold badges6464 silver badges134134 bronze badges
answered Nov 5 '11 at 23:21
moodywoodymoodyw...
Export to CSV via PHP
...t;?php
$list = array (
array('aaa', 'bbb', 'ccc', 'dddd'),
array('123', '456', '789'),
array('"aaa"', '"bbb"')
);
$fp = fopen('file.csv', 'w');
foreach ($list as $fields) {
fputcsv($fp, $fields);
}
fclose($fp);
?>
First you must load the data from the mysql server in to a ar...
how to “reimport” module to python then code be changed after import
... edited Mar 9 '17 at 5:41
Seanny123
5,70277 gold badges4949 silver badges100100 bronze badges
answered Oct 23 '16 at 15:41
...
C# short/long/int literal format?
...by F or f is of type float. For example, the literals 1f, 1.5f, 1e10f, and 123.456F are all of type float.
A real literal suffixed by D or d is of type double. For example, the literals 1d, 1.5d, 1e10d, and 123.456D are all of type double.
A real literal suffixed by M or m is of type decimal. For ex...
Mediator Vs Observer Object-Oriented Design Patterns
...ication while observer works only one way.
– kiwicomb123
Mar 3 '19 at 6:51
Exactly, glad it helped
...
How to import a Python class that is in a directory above?
...
123
import sys
sys.path.append("..") # Adds higher directory to python modules path.
...
Cookie overflow in rails application?
... :mem_cache_store, 'localhost', '127.0.0.1:11211',
{:namespace => 'myapp123'}
share
|
improve this answer
|
follow
|
...
What is the difference between “text” and new String(“text”)?
...
123
String literals will go into String Constant Pool.
The below snapshot might help you to under...
Remove duplicated rows using dplyr
...ction for this purpose.
Original answer below:
library(dplyr)
set.seed(123)
df <- data.frame(
x = sample(0:1, 10, replace = T),
y = sample(0:1, 10, replace = T),
z = 1:10
)
One approach would be to group, and then only keep the first row:
df %>% group_by(x, y) %>% filter(row_nu...