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Hello Python World,

I am starting work on stochastic approach.

I plan to work in decision support field in environmental engineering
so I will use both the stochastic simulation as well as the stochastic
optimization.
I would like to select the best for both approaches software tool.

what you suggest ... Matlab ... python ... something else?

Any thoughts would be appreciated,
John

> I plan to work in decision support field in environmental engineering
> so I will use both the stochastic simulation as well as the stochastic
> optimization.
> I would like to select the best for both approaches software tool.
>
> what you suggest ... Matlab ... python ... something else?

I have no clue whether it does stochastic simulation and optimisation,
but R is THE free open-source statistic analysis tool. It does have
a Python interface, RPy. And there's a free open-source replacement for
Matlab, Scilab. Which has a Python interface as well.

Sincerely,

Wolfgang

--
HOMO HOMINI HOSTIS IN FELIBUS FELICITAS

On Thu, 9 Feb 2012 17:24:09 +0100, Wolfgang Keller <>
wrote:

>> I plan to work in decision support field in environmental engineering
>> so I will use both the stochastic simulation as well as the stochastic
>> optimization.
>> I would like to select the best for both approaches software tool.
>>
>> what you suggest ... Matlab ... python ... something else?
>
>I have no clue whether it does stochastic simulation and optimisation,
>but R is THE free open-source statistic analysis tool. It does have
>a Python interface, RPy. And there's a free open-source replacement for
>Matlab, Scilab. Which has a Python interface as well.
>
I always thought Octave was considered the "free" Matlab equivalent;
syntax supposed to be closer -- R is more an equivalent of S. Probably
doesn't have a Python interface.

http://en.wikipedia.org/wiki/GNU_Octave
http://www.gnu.org/software/octave/download.html

(Looks like I was wrong)
https://launchpad.net/pytave

--
Wulfraed Dennis Lee Bieber AF6VN
HTTP://wlfraed.home.netcom.com/