> As I user I don't care at all about these licensing issues, but I do > care about the hassle of having fragmented code because of license > arguments. Though the BSD is `more free`, to keep this purity it most > ignore all LGPL/GPL code like in the scipy community creating ghetto's > like the scikits, and great projects like cvxopt (by which I mean that > fundamental pieces of code are not put into scipy/numpy because of > needing only BSD like). This has also occurs in the matplotlib world. > For me the greatest sin is not being able to use R algorithms/code > which is the best of breed for statistics, so we reinvent the wheel, > or not at all, leaving the python ecosystem poorer as a result. So > their is still an agenda from my view from BSD like licenses, what is > nice about the [L]GPL licenses from my viewpoint is because it is the > most restricted I can look a the most code and use it, with BSD to > keep to ecosystem super free I can not, and we all suffer because of > this.
While I agree with you that it is a shame that there is fragmented code because of license differences, I disagree that the blame lies with the BSD license. Using this same argument, can I assume that you think it is the BSD's fault that numpy/scipy can't simply distribute/ship proprietary things. --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "sympy" group. To post to this group, send email to sympy@googlegroups.com 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 -~----------~----~----~----~------~----~------~--~---
