PythonCall.jl
NodeCall.jl
PythonCall.jl | NodeCall.jl | |
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3 | 1 | |
681 | 28 | |
4.0% | - | |
8.6 | 10.0 | |
9 days ago | over 1 year ago | |
Julia | Julia | |
MIT License | MIT License |
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PythonCall.jl
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I just started into Julia for ML
For point 3 you can use https://github.com/cjdoris/PythonCall.jl or https://github.com/JuliaPy/PyCall.jl (and their respective Python sister packages).
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Select Python environment for PyCall
https://cjdoris.github.io/PythonCall.jl/stable/ may try this https://cjdoris.github.io/PythonCall.jl/stable/pythoncall/#pythoncall-config
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Making Python 100x faster with less than 100 lines of Rust
You can have your cake and eat it with the likes of
* PythonCall.jl - https://github.com/cjdoris/PythonCall.jl
* NodeCall.jl - https://github.com/sunoru/NodeCall.j
* RCall.jl - https://github.com/JuliaInterop/RCall.jl
I tend to use Julia for most things and then just dip into another language’s ecosystem if I can’t find something to do the job and it’s too complex to build myself
NodeCall.jl
What are some alternatives?
jnumpy - Writing Python C extensions in Julia within 5 minutes.
RCall.jl - Call R from Julia
jsmpeg - MPEG1 Video Decoder in JavaScript
line_profiler - Line-by-line profiling for Python
PyCall.jl - Package to call Python functions from the Julia language
gopy - gopy generates a CPython extension module from a go package.
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
StaticCompiler.jl - Compiles Julia code to a standalone library (experimental)
rayon - Rayon: A data parallelism library for Rust
PackageCompiler.jl - Compile your Julia Package