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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!
The text was updated successfully, but these errors were encountered:
This is great to hear! Please let me know what works and what doesn't. By the way I renamed the Python package to juliaaa from julia to avoid the clash with the already existing package. I'm still looking for a good name.
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.
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!
The text was updated successfully, but these errors were encountered: