gopy
PythonCall.jl
gopy | PythonCall.jl | |
---|---|---|
5 | 3 | |
1,868 | 673 | |
1.1% | 2.4% | |
6.7 | 8.6 | |
3 days ago | 1 day ago | |
Go | Julia | |
BSD 3-clause "New" or "Revised" License | MIT License |
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gopy
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Making Python 100x faster with less than 100 lines of Rust
I've used gopy[0] recently to access a go library in Python. It surprisingly Just Worked, but I was disappointed by some performance issues, like converting lists to slices.
[0] https://github.com/go-python/gopy
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Golang vs python for AI
the heavy lifting is done in native libraries and you get to experiment fast using an easy language. the combo is quite hard to beat. Now there is a missed opportunity to write such libraries in Go, but as I read here and there Go is hard to integrate well as a library. There is gopy but it's light years away from PyO3 for instance, I don't think it'll ever gain traction, but who knows.
- Is the statement true, that Python and its ecosystem lacks speed for mission-critical large-scale applications?
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I went about learning Rust
> So if you learn Go, you'll never be able to use it to interoperate with e.g. your Python program to speed it up.
Never done it myself, but:
https://www.ardanlabs.com/blog/2020/07/extending-python-with...
https://github.com/go-python/gopy
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Rust or C/C++ to learn as a secondary language?
Check out gopy for an easy way to extend your Python code with Go.
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
What are some alternatives?
PySCIPOpt - Python interface for the SCIP Optimization Suite
jnumpy - Writing Python C extensions in Julia within 5 minutes.
Pulumi - Pulumi - Infrastructure as Code in any programming language. Build infrastructure intuitively on any cloud using familiar languages 🚀
jsmpeg - MPEG1 Video Decoder in JavaScript
prisma-engines - 🚂 Engine components of Prisma ORM
NodeCall.jl - Call NodeJS from Julia.
poly-match - Source for the "Making Python 100x faster with less than 100 lines of Rust" blog post
PyCall.jl - Package to call Python functions from the Julia language
cpy3 - Go bindings to the CPython-3 API
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
rayon - Rayon: A data parallelism library for Rust