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Regex, every non-alphanumeric character except white space or colon
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No alphanumeric, white space or '_'.
var reg = /[^\w\s)]|[_]/g;
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How does this giant regex work?
...36\x34\x5F\x64\x65\x63\x6F\x64\x65\x28
is acutally:
eval(gzinflate(base64_decode(
This is the code will print out the source code for this backdoor. However i would not execute the resulting PHP code, unless it is on a disposable virtual machine.
<?php
print gzinflate(base64_decode("7b1tV...
Automatically remove Subversion unversioned files
...ortoiseProc.exe: details in my answer below.
– stevek_mcc
Sep 14 '16 at 21:40
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How to access parent Iframe from JavaScript
...d Oct 10 '10 at 16:13
ingredient_15939ingredient_15939
2,78077 gold badges2727 silver badges4848 bronze badges
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How to change XAMPP apache server port?
... link for Linux.
Locate the following lines:
Listen 443
<VirtualHost _default_:443>
ServerName localhost:443
Replace them by with a other port number (8013 for this example) :
Listen 8013
<VirtualHost _default_:8013>
ServerName localhost:8013
Save the file.
Restart the Apache Se...
Matrix Transpose in Python
...g'), ('b', 'e', 'h'), ('c', 'f', 'i')]?
– acollection_
Feb 28 '16 at 3:15
14
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How can I disable HREF if onclick is executed?
...ttribute:
<a href="https://example.com/no-js-login" onclick="return yes_js_login();">Log in</a>
yes_js_login = function() {
// Your code here
return false;
}
Example: https://jsfiddle.net/FXkgV/289/
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cartesian product in pandas
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Use pd.MultiIndex.from_product as an index in an otherwise empty dataframe, then reset its index, and you're done.
a = [1, 2, 3]
b = ["a", "b", "c"]
index = pd.MultiIndex.from_product([a, b], names = ["a", "b"])
pd.DataFrame(index = index).res...
ASP.NET MVC 3 - Partial vs Display Template vs Editor Template
... <input name="@(idPrefix).Frequency"
id="@(idPrefix)_Frequency"
style="width: 50%;"
type="text"
value="@(defaultTimePoint.Frequency)"
data-bind="value: viewState.@(viewStatePrefix).RecurringTimepoints.Frequency"
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Add column with constant value to pandas dataframe [duplicate]
...le times.
# Wrong
df['new'] = [[]] * len(df)
# Right
df['new'] = [[] for _ in range(len(df))]
Generating a copy: df.assign(new=0)
If you need a copy instead, use DataFrame.assign:
df.assign(new='y')
A B C new
0 x x x y
1 x x x y
2 x x x y
3 x x x y
And, if you ne...