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How to create multidimensional array
...ar numeric = [
['input1','input2'],
['input3','input4']
];
numeric[0][0] == 'input1';
numeric[0][1] == 'input2';
numeric[1][0] == 'input3';
numeric[1][1] == 'input4';
var obj = {
'row1' : {
'key1' : 'input1',
'key2' : 'input2'
},
'row2' : {
'key3' : 'inpu...
Regular expression to match DNS hostname or IP Address?
...or by combining them in a joint OR expression.
ValidIpAddressRegex = "^(([0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5])\.){3}([0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5])$";
ValidHostnameRegex = "^(([a-zA-Z0-9]|[a-zA-Z0-9][a-zA-Z0-9\-]*[a-zA-Z0-9])\.)*([A-Za-z0-9]|[A-Za-z0-9][A-Za-z0-9\-]*[A-Z...
Draw a perfect circle from user's touch
...
+500
Sometimes it is really useful to spend some time reinventing the wheel. As you might have already noticed there are a lot of framewor...
What is the ultimate postal code and zip regex?
...
20 Answers
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Open Redis port for remote connections
...access on the redis server?
Before (file /etc/redis/redis.conf)
bind 127.0.0.1
After
bind 0.0.0.0
and run sudo service redis-server restart to restart the server. If that's not the problem, you might want to check any firewalls that might block the access.
Important: If you don't use a firew...
Regular expression for matching latitude/longitude coordinates?
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answered Aug 19 '10 at 3:38
Eric CEric C
3,55633 gold badges2828 silver badges2626 bronze badges
...
how to ignore namespaces with XPath
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answered Dec 14 '10 at 15:05
Dirk VollmarDirk Vollmar
157k5151 gold badges240240 silver badges300300 bronze badges
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Why doesn't Python have a sign function?
...cause they didn't agree on what it should return in all the edge cases (+/-0, +/-nan, etc)
So they decided to implement only copysign, which (although more verbose) can be used to delegate to the end user the desired behavior for edge cases - which sometimes might require the call to cmp(x,0).
I...
How to downgrade or install an older version of Cocoapods
...on of cocoa pods via the following command:
sudo gem install cocoapods -v 0.25.0
You can use older installed versions with following command:
pod _0.25.0_ setup
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pandas dataframe columns scaling with sklearn
...;> scaler = MinMaxScaler()
>>> dfTest = pd.DataFrame({'A':[14.00,90.20,90.95,96.27,91.21],
'B':[103.02,107.26,110.35,114.23,114.68],
'C':['big','small','big','small','small']})
>>> dfTest[['A', 'B']] = scaler.fit_transform(...
