Hello Andrew Nelson, Thank you for your response regarding the utilization of LowLevelCallable functions in scipy. Your explanations were really helpful in understanding some of the complexities and thought processes involved in that matter.
Regarding the article's comparison between Julia and Python, it appears to have a clear agenda favoring Julia. There is not much more to say. Where the article may raise a valid point is finding the right algorithm for your task, such as LSQUnivariateSpline in this case, can be challenging at times. My primary motivation was to understand why LowLevelCallable functions are not more widely utilized, particularly in scenarios where user-defined functions are integral to algorithms. I was really amazed when I found this feature in the integrate subpackage. You highlight the challenges especially with the diverse code design (Fortran, C, Python...) and the uncertainty of potential gains compared to the effort required for implementation (and implicitly missing resources). Once again, thank you for your expertise and valuable insights and for taking the time to answering my question. Best regards, Oyibo _______________________________________________ SciPy-Dev mailing list -- scipy-dev@python.org To unsubscribe send an email to scipy-dev-le...@python.org https://mail.python.org/mailman3/lists/scipy-dev.python.org/ Member address: arch...@mail-archive.com
