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What is Vim recording and how can it be disabled?
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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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converting drawable resource image into bitmap
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409
You probably mean Notification.Builder.setLargeIcon(Bitmap), right? :)
Bitmap largeIcon = Bitm...
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, '')...
RestSharp JSON Parameter Posting
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answered Jun 10 '11 at 23:31
John SheehanJohn Sheehan
72.7k2727 gold badges153153 silver badges189189 bronze badges
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Checking if array is multidimensional or not?
...anywhere. If it has to be in the first item, you'd just do
is_array($arr[0]);
But, the most efficient general way I could find is to use a foreach loop on the array, shortcircuiting whenever a hit is found (at least the implicit loop is better than the straight for()):
$ more multi.php
<?php...
What is the tilde (~) in the enum definition?
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10 Answers
10
Active
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ElasticSearch - Return Unique Values
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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,
"...
How to do a less than or equal to filter in Django queryset?
...ofile called profile. This field is called level and is an integer between 0-3.
1 Answer
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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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