大约有 2,200 项符合查询结果（耗时：0.0278秒） [XML]
jQuery Mobile: document ready vs. page events
...Page:
$.mobile.changePage('page2.html', { dataUrl : "page2.html?paremeter=123", data : { 'paremeter' : '123' }, reloadPage : true, changeHash : true });
And read them like this:
$(document).on('pagebeforeshow', "#index", function (event, data) {
var parameters = $(this).data("url").split("?"...
How can I use a batch file to write to a text file?
...d in D:\Temp\WriteText.bat
@echo off
echo This is a test> test.txt
echo 123>> test.txt
echo 245.67>> test.txt
Output:
D:\Temp>WriteText
D:\Temp>type test.txt
This is a test
123
245.67
D:\Temp>
Notes:
@echo off turns off printing of each command to the console
Unless...
Replace only some groups with Regex
...Group Index and Length properties of a matched group.
var text = "example-123-example";
var pattern = @"-(\d+)-";
var regex = new RegEx(pattern);
var match = regex.Match(text);
var firstPart = text.Substring(0,match.Groups[1].Index);
var secondPart = text.Substring(match.Groups[1].Index + matc...
How do I get the list of keys in a Dictionary?
...g, int> data = new Dictionary<string, int>();
data.Add("abc", 123);
data.Add("def", 456);
foreach (string key in data.Keys)
{
Console.WriteLine(key);
}
share
|
...
Java; String replace (using regular expressions)?
...answered Jul 23 '16 at 21:52
vit123vit123
11111 silver badge55 bronze badges
...
TypeError: ObjectId('') is not JSON serializable
...
123
You should define you own JSONEncoder and using it:
import json
from bson import ObjectId
cl...
Double vs single quotes
...ring:
This regex pattern will work because passed within single-quotes:
"123 ABC".match('\d')
=> #<MatchData "1">
This regex pattern will fail because passed within double-quotes (you would have to double-escape it to get it to work):
"123 ABC".match("\d")
=> nil
...
How do I get a list of all subdomains of a domain? [closed]
...
Correct command should be: dig @123.456.789.123 DOMAIN.COM -t axfr
– Superbiji
Jan 8 '14 at 7:48
8
...
Convert columns to string in Pandas
...der,
# Setup
df = pd.DataFrame({'A': ['a', 'b', 'c'], 'B': [{}, [1, 2, 3], 123]})
df
A B
0 a {}
1 b [1, 2, 3]
2 c 123
Upto pandas 0.25, there was virtually no way to distinguish that "A" and "B" do not have the same type of data.
# pandas <= 0.25
df.dtypes
A ...
Press alt + numeric in bash and you get (arg [numeric]) what is that?
... + numeric and then you press a character, you'll get num caracters: (arg: 123) + a -> 123 times "a"
share
|
improve this answer
|
follow
|
...