Python advocacy in scientific computation

[mrmakent at cox.net]

Nicely done.  But now for a couple of small nits:


> other language is that they are suddenly dramatically several times
> more productive

'suddenly dramatically several times' seems a bit redundantly
repeditively excessive, don't you think?


> Among the Python components and Python bindings of special interest to
> scientists are the elegant and powerful matplotlib plotting package,
> which began by emulating and now surpasses the plotting features of
> Matlab, SWIG, which allows for runtime interoperability with various
> languages, f2py which specifically interoperates with Fortran, NetCDF
> libraries (which cope with NetCDF files with dramatically less fuss
> than the standard C or Fortran bindings), statistics packages including
> bindings to the R language,  linear algebra packages,  various
> platform-specific and portable GUI libraries, genetic algorithms,
> optimization libraries, and bindings for high performance differential
> equation solvers (notably, using the Argonne National Laboratory
> package PetSC).

As the length of the sentence built up, and the inumerable commas
passed by, my brain exploded.  I'd suggest turning this into a bullet
list.