l
estimation.
If you know some interesting position, don't hesistate to contact me.
Kind regards,
Johannes
--
Dr. Johannes Nix
Energy & Meteo Systems GmbH
Research & Development of windpower forecasts
Bremen, Germany
Phone: + 49 421 8963914
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random numbers, returns
a float.
The Numpy package, which is the recommended replacement
for Numeric, uses a different random number generator
(the Mersenne Twister RNG) and does not contain this code.
Kind Regards,
Johannes Nix
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Dennis Lee Bieber <[EMAIL PROTECTED]> writes:
> My typical debugging technique is the infamous "wolf fence" (there's
> one wolf in Alaska, how do you find it? First build a fence down the
> middle of the state, wait for the wolf to howl, determine which side of
> the fence it is on. Repeat p
Hi,
I have a tricky problem with Numeric. Some time ago, I have generated
a huge and complex data structure, and stored it using the cPickle
module. Now I want to evaluate it quickly again on a workstation
cluster with 64-Bit Opteron CPUs - I have no more than three days to
do this. Compiling Pyt
