On Sun, Aug 16, 2020 at 11:20 PM Stephen J. Turnbull < [email protected]> wrote:
> It's getting the fiddly stuff right (numerical stability and accuracy, > catching edge cases in algorithms) so that you can use it with > confidence for work that has consequences if you get it wrong that (to > me, anyway) would justify inclusion in the stdlib. > And for that, you want a robust, well supported library, like, say LAPACK, or EIGEN, or ...., you know like what scipy uses ;-) The python standard library really isn't the place for that kind of code. However, a pure python implementation could, optionally, reach out to an external lib for specific functionality like that though. -CHB -- Christopher Barker, PhD Python Language Consulting - Teaching - Scientific Software Development - Desktop GUI and Web Development - wxPython, numpy, scipy, Cython
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