Investigate Python.jl for diffeqpy #12
ChrisRackauckas
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This is great to hear! Please let me know what works and what doesn't. By the way I renamed the Python package to Mild warning: Python.jl is still under development and changing quite fast, there are no promises about the API staying fixed at the moment (though I doubt there will be major changes). Version 0.1 isn't even registered yet, though I'm hoping to get to version 1.0 in quite short time. |
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Hey! Found this repo, looks cool! I'm looking into it as a possible new backing for https://github.com/SciML/diffeqpy . Specifically the issue is whether overloads in Julia for ModelingToolkit.jl could work well enough from Python. They do in diffeqr via JuliaCall, so it seems like it's just a wrapper issue with pyjulia. SciML/diffeqpy#57 (comment) in particular highlights such an issue. SciML/diffeqpy#78 is the same thing. If there's a good answer here, then I think got a new lead!
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