Hi Ondrej, I'd like to pick up some of the points you make in your mail, especially the ones about why sympy is relevant.
I admire sage a lot. It is an impressive project. However, it is a project closed onto itself. It is hard for me to use part of sage (say the logics to compute integrals) in for instance a scientific application doing on-the-fly control of an experiment. On the contrary, sympy gives me this option. Sympy integrates seamlessly with the rest of the Python scientific stack and really feels like an easy-to-use library. The work you have recently been doing to help integration with numpy is very important in this regard (see also my post earlier todo about adding numerical fallbacks to sympy functions, which are another part of impedance matching between sympy and the other scientific Python libraries). I'd also like to insert here a small shameless plug: the reason I prefer Mayavi2 to Paraview is also that it plugs into the stack I use (I am actually focusing on improving this with the Mlab interface). So keep the good work up, and keep making sympy not only a good CAS, but also one that can easily be used as a library. Cheers, Gaël --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "sympy" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/sympy?hl=en -~----------~----~----~----~------~----~------~--~---
