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Override Python's 'in' operator?
...thulinpthulin
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Realistic usage of the C99 'restrict' keyword?
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Neuron
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answered Apr 14 '09 at 0:16
MichaelMichael
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Xcode doesn't show the line that causes a crash
... App crashes, type this in the gdb console:
(gdb) info malloc-history 0x543216
Replace 0x543216 with the address of the object that caused the NSInvalidArgumentException and it should give you a much more useful stack trace, showing the lines of your code that are causing the crash.
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Flask-SQLAlchemy import/context issue
...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...
Sharing a result queue among several processes
...illenderskill
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Android Studio installation on Windows 7 fails, no JDK found
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I had to go into system32 and rename java.exe to java.exe.old before it would see my JAVA_HOME path
– AndyD273
May 16 '13 at 14:40
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What is context in _.each(list, iterator, [context])?
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dandavisdandavis
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Multiprocessing - Pipe vs Queue
...ipe() took 0.0369849205017 seconds
Sending 100000 numbers to Pipe() took 0.328398942947 seconds
Sending 1000000 numbers to Pipe() took 3.17266988754 seconds
mpenning@mpenning-T61:~$ python multi_queue.py
Sending 10000 numbers to Queue() took 0.105256080627 seconds
Sending 100000 numbers to Queue() ...
How to convert a Hibernate proxy to a real entity object
During a Hibernate Session , I am loading some objects and some of them are loaded as proxies due to lazy loading. It's all OK and I don't want to turn lazy loading off.
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How to do exponential and logarithmic curve fitting in Python? I found only polynomial fitting
...ptimize.curve_fit(lambda t,a,b: a*numpy.exp(b*t), x, y)
(array([ 5.60728326e-21, 9.99993501e-01]),
array([[ 4.14809412e-27, -1.45078961e-08],
[ -1.45078961e-08, 5.07411462e+10]]))
# oops, definitely wrong.
>>> scipy.optimize.curve_fit(lambda t,a,b: a*numpy.exp(b*t), x, y...