PythonCall.jl
PyCall.jl
| PythonCall.jl | PyCall.jl | |
|---|---|---|
| 3 | 28 | |
| 681 | 1,440 | |
| 4.0% | 0.4% | |
| 8.6 | 6.1 | |
| 9 days ago | 2 months 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
PyCall.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).
- The Mojo Programming Language: A Python Superset Drawing from Rust's Strengths
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Calling Chapel, Carbon, and zig code in Julia
PyCall.jl is really handy. Are there any similar projects for calling Chapel code, or Carbon/zig?
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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
What are some alternatives?
jnumpy - Writing Python C extensions in Julia within 5 minutes.
py2many - Transpiler of Python to many other languages
jsmpeg - MPEG1 Video Decoder in JavaScript
Revise.jl - Automatically update function definitions in a running Julia session
NodeCall.jl - Call NodeJS from Julia.
julia - The Julia Programming Language
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
Genie.jl - 🧞The highly productive Julia web framework
rayon - Rayon: A data parallelism library for Rust
are-we-fast-yet - Are We Fast Yet? Comparing Language Implementations with Objects, Closures, and Arrays
PackageCompiler.jl - Compile your Julia Package
fast-ruby - :dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.