Skip to content

Investigate Python.jl for diffeqpy #7

Closed

Description

@ChrisRackauckas

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!

Activity

  1. cjdoris commented on Feb 26, 2021

    @cjdoris
    Member

    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.

  2. cjdoris commented on Mar 8, 2021

    @cjdoris
    Member

    Going to close this. Happy to chat over on https://github.com/cjdoris/PythonCall.jl/discussions.

  3. locked and limited conversation to collaborators on Mar 8, 2021
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

      Milestone

      No milestone

      Relationships

      None yet

      Development

      No branches or pull requests

      Issue actions