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OAuth 2.0: Benefits and use cases — why?
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Background: I've written client and server stacks for OAuth 1.0a and 2.0.
Both OAuth 1.0a &am...
What is the difference D3 datum vs. data?
...000/svg\"\u003e\u003cpath d=\"M46.1709 9.17788C46.1709 8.26454 46.2665 7.94324 47.1084 7.58816C47.4091 7.46349 47.7169 7.36433 48.0099 7.26993C48.9099 6.97997 49.672 6.73443 49.672 5.93063C49.672 5.22043 48.9832 4.61182 48.1414 4.61182C47.4335 4.61182 46.7256 4.91628 46.0943 5.50789C45.7307 4.9328 4...
Real life example, when to use OUTER / CROSS APPLY in SQL
... BJuryBJury
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Generic method multiple (OR) type constraint
...000/svg\"\u003e\u003cpath d=\"M46.1709 9.17788C46.1709 8.26454 46.2665 7.94324 47.1084 7.58816C47.4091 7.46349 47.7169 7.36433 48.0099 7.26993C48.9099 6.97997 49.672 6.73443 49.672 5.93063C49.672 5.22043 48.9832 4.61182 48.1414 4.61182C47.4335 4.61182 46.7256 4.91628 46.0943 5.50789C45.7307 4.9328 4...
Apply CSS Style to child elements
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edited Mar 10 '09 at 20:32
answered Mar 10 '09 at 20:22
G...
Performance of foreach, array_map with lambda and array_map with static function
...n calls.
This is FGM's script run using 5.6
With xdebug
ForEach : 0.79232501983643
MapClosure: 4.1082420349121
MapNamed : 1.7884571552277
Without xdebug
ForEach : 0.69830799102783
MapClosure: 0.78584599494934
MapNamed : 0.85125398635864
Here there is only a very small difference between...
Update relationships when saving changes of EF4 POCO objects
...c0y0teXc0y0teX
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Difference between jQuery `click`, `bind`, `live`, `delegate`, `trigger` and `on` functions (with an
...000/svg\"\u003e\u003cpath d=\"M46.1709 9.17788C46.1709 8.26454 46.2665 7.94324 47.1084 7.58816C47.4091 7.46349 47.7169 7.36433 48.0099 7.26993C48.9099 6.97997 49.672 6.73443 49.672 5.93063C49.672 5.22043 48.9832 4.61182 48.1414 4.61182C47.4335 4.61182 46.7256 4.91628 46.0943 5.50789C45.7307 4.9328 4...
When to use actors instead of messaging solutions such as WebSphere MQ or Tibco Rendezvous?
...000/svg\"\u003e\u003cpath d=\"M46.1709 9.17788C46.1709 8.26454 46.2665 7.94324 47.1084 7.58816C47.4091 7.46349 47.7169 7.36433 48.0099 7.26993C48.9099 6.97997 49.672 6.73443 49.672 5.93063C49.672 5.22043 48.9832 4.61182 48.1414 4.61182C47.4335 4.61182 46.7256 4.91628 46.0943 5.50789C45.7307 4.9328 4...
Creating a Pandas DataFrame from a Numpy array: How do I specify the index column and column headers
...u could do it like this:
import pandas
import numpy
dtype = [('Col1','int32'), ('Col2','float32'), ('Col3','float32')]
values = numpy.zeros(20, dtype=dtype)
index = ['Row'+str(i) for i in range(1, len(values)+1)]
df = pandas.DataFrame(values, index=index)
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