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How to link godaddy domain with AWS Elastic Beanstalk environment?
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Vsevolod KrasnovVsevolod Krasnov
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More elegant way of declaring multiple variables at the same time
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Chris LutzChris Lutz
64k1515 gold badges117117 silver badges176176 bronze badges
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What is the fastest substring search algorithm?
.... For the needle, I think of short as under 8 characters, medium as under 64 characters, and long as under 1k. For the haystack, I think of short as under 2^10, medium as under a 2^20, and long as up to a 2^30 characters.
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How are people managing authentication in Go? [closed]
...od depends on user credentials sets in Authorization header encoded in base64 and defined inrfc7617, basically when the app receives the user requests its decodes the authorization and re-hash the password to compare it within DB hash if it's matched the user authenticated otherwise return 401 statu...
ng-repeat finish event
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There is no need of creating a directive especially just to have a ng-repeat complete event.
n...
Finding quaternion representing the rotation from one vector to another
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Half-Way Vector Solution
I came up with the solution that I believe Imbrondir was trying to pr...
PEP 8, why no spaces around '=' in keyword argument or a default parameter value?
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fortranfortran
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How can I save my secret keys and password securely in my version control system?
...r less hex characters
PASS_FIXED=<your-passphrase>
openssl enc -base64 -aes-256-ecb -S $SALT_FIXED -k $PASS_FIXED
Similar for smudge_filter_open_ssl and diff_filter_oepnssl. See Gist.
Your repo with sensitive information should have a .gitattribute file (unencrypted and included in repo) w...
Can't pickle when using multiprocessing Pool.map()
...gt;> sc = someClass()
>>> sc.go()
[0, 1, 4, 9, 16, 25, 36, 49, 64, 81]
>>>
Get the code here:
https://github.com/uqfoundation/pathos
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Adding new column to existing DataFrame in Python pandas
...gt;>> df1
a b c d
6 -0.269221 -0.026476 0.997517 1.294385
8 0.917438 0.847941 0.034235 -0.448948
>>> df1['e'] = pd.Series(np.random.randn(sLength), index=df1.index)
>>> df1
a b c d e
6 -0.269221...