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A comment on Python library for univariate regression, interpolation, and smoothing. Parent comment

Re:Python library for univariate regression, interpolation, ... by t6jvcereio on Monday August 29, 2022 @08:34PM (#32645340)
Two questions:

Why the requirement that you can't use scipy?

Have you heard of the package stats model?

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Re:Python library for univariate regression, interpolation, ... by versteegen on Monday August 29, 2022 @08:39PM (#32645360)
Well, SciPy depends heavily on NumPy, which as a CPython-specific extension won't run on other Python interpreters in general. Although for example there is ulab for MicroPython which replicates part of NumPy, and PyPy has a compatibility layer for CPython extensions.

Edit: well, Regessio itself also depends on NumPy, but might be able to run on top of ulab whereas I really doubt SciPy would.

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Re:Python library for univariate regression, interpolation, ... by nothrowaways on Tuesday August 30, 2022 @03:09AM (#32647488)
The repo on OP also depends on numpy
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Re:Python library for univariate regression, interpolation, ... by t6jvcereio on Tuesday August 30, 2022 @08:50AM (#32649722)
Responding that there's something out there called ulab doesn't really answer my question, which was: where does op's requirement to not use scipy come from.
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Re:Python library for univariate regression, interpolation, ... by codeboy7432 on Tuesday August 30, 2022 @12:08PM (#32652031)
(Same as comment above)

".. I had to generate confidence intervals on over 8000 univariate data sets using very small VMs, so I needed to limit large dependancies as much as I could. This package was the result of this!"

Based on the comments in this thread, it may be worth trying to make this package not dependant on Numpy as well?

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