David Kirkby wrote:
On 5 September 2010 22:13, William Stein <wst...@gmail.com> wrote:
On Sunday, September 5, 2010, David Kirkby <david.kir...@onetel.net> wrote:
RJF thinks Lisp is the best language
William thinks Python is God
No I don't.
I chose Python for Sage because in 2004 it was the closest popular
open source language to Magma.
God was the wrong word. But you have said Python is a beautiful
language. Your view of the language contrasts greatly with that of
RJF.
It's not clear to me the best way to tackle something able to parse
Mathematica.
It is however very clear there are far more people know Python than
Lisp, so use of Python is more attractive to more developers.
Dave
What does the number of python developers have to do with the question?
If we look at the problem domain it appears that the task is a
source-to-source
transformation followed by an execution of the result.
Which language makes this task easier?
MMA-to-lisp followed by execution involves changing MMA "data structures"
into lisp "data structures" which, because of the data-code equivalence
of lisp,
just involves evaluating the resulting expression in Maxima. It would be
possible
to write a Sage pexpect front end that takes MMA syntax as input, calls a
(translate-and-execute) function in Maxima, and returns the result. Thus
you get
both Maxima and MMA in the same code pile at little cost.
MMA-to-python is a compiler task (lex/yacc/AST/codegen). The generated code
would have to know which subsystems would be involved because the syntax of
the calls vary. An alternative is an MMA interpreter, which is a lot of
work.
Adding MMA syntax to the python top-level would involve much more pre-parser
effort in Sage, moving the Sage language farther from python than it
already is.
While they are conceptually equivalent tasks, the lisp version seems to
me to be
mechanically easier to implement. It is considerably more flexible and
more easily
extended. Lisp could easily add new syntax, something a MMA-to-python based
compiler would find a struggle.
Tim Daly
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