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Mysql adding user for remote access
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In order to connect remotely you have to have MySQL bind port 3306 to your machine's IP address in my.cnf. Then you have to have created the user in both localhost and '%' wildcard and grant permissions on all DB's as such . See below:
my.cnf (my.ini on windows)
#Replace xxx with your I...
How can I autoplay a video using the new embed code style for Youtube?
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+50
Just put "?autoplay=1" in the url the video will autoload.
So your url would be:
http://www.youtube.com/embed/JW5meKfy3fY?autoplay=1
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How to compute the similarity between two text documents?
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10 Answers
10
Active
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Lost connection to MySQL server at 'reading initial communication packet', system error: 0
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107
Someone here suggests that it might be a firewall problem:
I have just had this problem and...
Auto-center map with multiple markers in Google Maps API v3
...tLngBounds();
var infowindow = new google.maps.InfoWindow();
for (i = 0; i < locations.length; i++) {
var marker = new google.maps.Marker({
position: new google.maps.LatLng(locations[i][1], locations[i][2]),
map: map
});
//extend the bounds to include each marker's position
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Efficient way to determine number of digits in an integer
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107
Well, the most efficient way, presuming you know the size of the integer, would be a lookup. S...
How to validate an e-mail address in swift?
...ValidEmail(_ email: String) -> Bool {
let emailRegEx = "[A-Z0-9a-z._%+-]+@[A-Za-z0-9.-]+\\.[A-Za-z]{2,64}"
let emailPred = NSPredicate(format:"SELF MATCHES %@", emailRegEx)
return emailPred.evaluate(with: email)
}
for versions of Swift earlier than 3.0:
func isValidEmail(e...
Grid of responsive squares
... you can code :
HTML :
<div></div>
CSS
div {
width: 30%;
padding-bottom: 30%; /* = width for a square aspect ratio */
}
Here is a simple layout example of 3*3 squares grid using the code above.
With this technique, you can make any other aspect ratio, here is a table giv...
Multiple aggregations of the same column using pandas GroupBy.agg()
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You can simply pass the functions as a list:
In [20]: df.groupby("dummy").agg({"returns": [np.mean, np.sum]})
Out[20]:
mean sum
dummy
1 0.036901 0.369012
or as a dictionary:
In [21]: df.groupby('dummy').agg({'returns':
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Grep characters before and after match?
... characters after
$> echo "some123_string_and_another" | grep -o -P '.{0,3}string.{0,4}'
23_string_and
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