On Wed, Jan 20, 2021 at 7:13 PM parisse <bernard.pari...@ujf-grenoble.fr> wrote:
>
> As the author of a CAS, I can state that you need much more than 2 weeks to 
> learn a programming language to make a CAS, and much much more if you want to 
> be fast. Life is short, therefore choose your programming language carefully! 
> I don't regret my choice for C (+ C++ STL and operator redefinition) made 20 
> years ago, because C can interact with a lot of languages (including 
> compilation to Javascript). If I had to choose today, I would perhaps choose 
> Julia. Not Python, it's much too slow. I don't know for Lisp speed, but it's 
> not a language I would choose anyway, I like to write e.g. a+b*c when I do 
> algebraic computations in my source code.

There are macro packages for infix maths in Common Lisp, so this by no
means should be a deal-breaker for anyone.

Needless to say, C++ has its own can of worms, which anyone who tried
to used it might easily produce, as a reason to stay
away from it.

>
> Le mercredi 20 janvier 2021 à 19:47:01 UTC+1, rjf a écrit :
>>
>> I think you have to figure that there is a difference in productivity of 
>> people who just learned Python in high school and would really like to write 
>> a computer algebra system
>> versus people who know more mathematics, are comfortable spending 2 weeks 
>> learning lisp, spending ?? (weeks? months?) studying the state of the art in
>> computer algebra systems as evolved over 60 years, and want to contribute to 
>> advancing the art (rather than re-programming the easy stuff).
>>  I am under the impression that learning python is a reasonable stepping 
>> stone to learning lisp.
>>
>> As far as checking results for various systems,  there is a category of CAS 
>> bugs that are syistem independent.
>> That is, they occur in many systems!  Sometimes they depend on secretly 
>> dividing by zero, or doing something
>> that is invalid at a singularity.  So "Maple and Mathematica and ...  all 
>> agree" does not mean they are right!
>>
>> I think my essential point previously is that rewriting easy stuff (in a 
>> different language) typically fails to push the frontier.
>>
>>
>>
>> On Wednesday, January 20, 2021 at 5:54:51 AM UTC-8 kcrisman wrote:
>>>>
>>>>
>>>> As to the question of replacing backends, there is already a ticket (which 
>>>> I cannot find right now, my apologies) which started the process of seeing 
>>>> what doctests would fail if we went to Sympy as default.  Presumably 
>>>> something similar could be done with this engine (I don't know if it is 
>>>> more for low-level symbolics or also things like integration).
>>>
>>>
>>> In particular, the (very minimal) documentation (really an API is all) 
>>> makes it seems more a replacement for things like Ginac (already in C++), 
>>> not Maxima et al.  I don't know if that would provide a noticeable speedup 
>>> per se, though the SageManifolds ticket mentioned parallelization so 
>>> perhaps it is better suited for that?
>
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