大约有 35,450 项符合查询结果（耗时：0.0358秒） [XML]
What is Vim recording and how can it be disabled?
...
1086
You start recording by q<letter>
and you can end it by typing q again.
Recording is a r...
ListCtrl 重绘（Custom Draw） - C/C++ - 清泛网 - 专注C/C++及内核技术
...在WIN98 和VC6 SP2的环境下写的，common controls DLL的版本是5.0。我已经对其在WinNT 4上进行了测试。系统要运行这些代码，它的common controls DLL的版本必须至少是4.71。但随着IE4 的发布，这已经不是问题了。(IE会夹带着这个DLL一起发布)
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Creating a BLOB from a Base64 string in JavaScript
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+50
The atob function will decode a Base64-encoded string into a new string with a character for each byte of the binary data.
const byte...
GraphViz - How to connect subgraphs?
...ue statement is required.
digraph G {
compound=true;
subgraph cluster0 {
a -> b;
a -> c;
b -> d;
c -> d;
}
subgraph cluster1 {
e -> g;
e -> f;
}
b -> f [lhead=cluster1];
d -> e;
c -> g [ltail=cluster0,lhead=cluster1];
c -> e [...
Couldn't connect to server 127.0.0.1:27017
...ottTrott
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28
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How to strip all non-alphabetic characters from string in SQL Server?
...function:
Create Function [dbo].[RemoveNonAlphaCharacters](@Temp VarChar(1000))
Returns VarChar(1000)
AS
Begin
Declare @KeepValues as varchar(50)
Set @KeepValues = '%[^a-z]%'
While PatIndex(@KeepValues, @Temp) > 0
Set @Temp = Stuff(@Temp, PatIndex(@KeepValues, @Temp), 1, '')...
What does !important mean in CSS?
... |
edited May 5 '16 at 23:03
ovgolovin
11.7k44 gold badges3434 silver badges7575 bronze badges
answered ...
Compute a confidence interval from sample data
...y as np
import scipy.stats
def mean_confidence_interval(data, confidence=0.95):
a = 1.0 * np.array(data)
n = len(a)
m, se = np.mean(a), scipy.stats.sem(a)
h = se * scipy.stats.t.ppf((1 + confidence) / 2., n-1)
return m, m-h, m+h
you can calculate like this way.
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Double exclamation points? [duplicate]
... // Evaluates to true.
If foo.bar is passed through, then it may not be 0 but some other falsy value. See the following truth table:
Truth Table for javascript
'' == '0' // false
0 == '' // true
0 == '0' // true
false == 'false'...
ElasticSearch - Return Unique Values
...
You can use the terms aggregation.
{
"size": 0,
"aggs" : {
"langs" : {
"terms" : { "field" : "language", "size" : 500 }
}
}}
A search will return something like:
{
"took" : 16,
"timed_out" : false,
"_shards" : {
"total" : 2,
"successful" : 2,
"...