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PyCall.jl Alternatives
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PyCall.jl reviews and mentions
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Am I dumb in thinking I can use Rust as a Fast Python and leave it at that?
Julia and Python interop should not be a problem at all. Actually Julia has one of the best interops I’ve ever seen, so much that swift copied it. https://github.com/JuliaPy/PyCall.jl
- Which tools do you use for python + Data Science?
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I don't want to abandon Rust for Julia
One small note, julia also has great python interop via PyCall.jl
- Faster Python calculations with Numba: 2 lines of code, 13× speed-up
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Interoperability in Julia
It is possible to call Python from Julia using PyCall. Then to install PyCall, run the command in the Julia REPL.
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Why is Python so used in the machine learning?
That said, you can run python modules in Julia. So you can just export your code as a module and then use it in Julia via the PyCall package. short description here github here <— you’d just add the pacakge via the really nice package manager built into julia, but for link for more detailed documentation
- Use rust code in Python with pyo3
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Writing entire programs in Cython
You can integrate Python and Julia code with https://github.com/JuliaPy/PyCall.jl and https://github.com/JuliaPy/pyjulia .
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Why Co–Star Uses Haskell
> I'd love to use Julia and Rust instead, but the ecosystems and users aren't there yet.
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OCaml is getting multicore support in the next major version (v5)
Julias interop with Python is excellent: https://github.com/JuliaPy/PyCall.jl (also with R, see RCall.jl). It's just not statically typed, so the original problem is not solved - albeit Julia being the better language for scientific purposes.
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JuliaPy/PyCall.jl is an open source project licensed under MIT License which is an OSI approved license.