[EMAIL PROTECTED] wrote:
> Robert Kern wrote:
>
>
>
>>If you find suitable
>>FORTRAN or C code that implements a particular "robust" algorithm, it
>>can probably wrapped for scipy relatively easily.
>
>
> An alternative would be to call R (a free statistical package) from
> Python, using somet
use R. it's pretty highend, and there is an interface for python.
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Robert Kern wrote:
> If you find suitable
> FORTRAN or C code that implements a particular "robust" algorithm, it
> can probably wrapped for scipy relatively easily.
An alternative would be to call R (a free statistical package) from
Python, using something like the R/SPlus - Python Interface a
[EMAIL PROTECTED] wrote:
> I use Python to generate a huge amount of data in a .csv file which I
> then process using Excel. In particular, I use Excel's solver to solve
> a number of non-linear equation, and then regress the results of
> hundreds of calls to Solver against a set of known values, e
I use Python to generate a huge amount of data in a .csv file which I
then process using Excel. In particular, I use Excel's solver to solve
a number of non-linear equation, and then regress the results of
hundreds of calls to Solver against a set of known values, enabling me
to calibrate my model.
