PyCall.jl Alternatives
Similar projects and alternatives to PyCall.jl
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OPS
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are-we-fast-yet
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doctest
The fastest feature-rich C++11/14/17/20 single-header testing framework
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FastAI.jl
Repository of best practices for deep learning in Julia, inspired by fastai
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Scout APM
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ihp
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Apache Arrow
Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
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Slick
Scala Language Integrated Connection Kit. Slick is a modern database query and access library for Scala (by slick)
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Reviews and mentions
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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
- 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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Python vs Julia
You should definitely go with Julia. It has steeper learning curve than python, but it is way more powerful. As for the ecosystem, you shouldn't worry about that much: DataFrames.jl and friends is way better than pandas, MLJ.jl (https://github.com/alan-turing-institute/MLJ.jl) and FastAI.jl(https://github.com/FluxML/FastAI.jl) are great frameworks for regular ML and deepnet. And if at any point you get a feeling that you need some python library, you can always plug it in with PyCall.jl(https://github.com/JuliaPy/PyCall.jl).
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Julia ❤ Python
Recently I have started learning Julia which promises programmer productivity of Python and performance of C*. Julia PyCall library provides FFI for Python. After multiple unsuccessful attempts to use PyCall on Windows, I found out one needs to set PYTHONPATH environment variable in addition to PYTHON environment variable in Julia script to use specific python virtual environment. PyCall can automatically install conda and packages from conda but seems like if one wishes to use virtualenvironment and pip one needs to set these environment variables manually in the Julia script.
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Julia or Python for Threat Hunting or Cybersecurity Analysis?
https://github.com/JuliaPy/PyCall.jl library has rather detailed explanation on how to use python from Julia. It's rather straightforward, not many surprises there.
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I need help converting Python files to Julia
And if you are ok with calling the python code instead of translating it, you can use https://github.com/JuliaPy/PyCall.jl
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Question: is Python planning anything for future versions to counter Julia?
With https://github.com/JuliaPy/PyCall.jl you can call Python code from Julia and with https://pypi.org/project/julia/ vice versa. For me it worked very well so far.
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Apache Arrow 4.0.0 Release
I actually don't know very much about how it works (which is a testament to the usability of the libraries!)
I use PyCall to use Python from Julia, and PyJulia to do the reverse. PyCall & PyJulia have functionality to easily share arrays. PyCall is pretty seamless, PyJulia is a bit more work but still solid.
To share a DataFrame, I convert it to Arrow, get a bytearray representation of that, use PyCall/PyJulia to access the array from a different process, and reinterpret it as Arrow data within that process.
- Julia Python Interface
- Python 3 Types in the Wild: A Tale of Two Type Systems [pdf]
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Julia: A Post-Mortem
There's nothing wrong with using the tools you know. But IMO it's quite interesting to use languages that might just be a big improvement over how things have been done so far. I think Julia is such a language when compared to Python (excluding the ecosystem, of course).
Also, if you come back to Julia sometime there's this:
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Symbolics.jl: A Modern Computer Algebra System for a Modern Language
> The ecosystem is still pretty barebones compared to Python
There's help: https://github.com/JuliaPy/PyCall.jl https://github.com/JuliaInterop/RCall.jl
Works like a charm.
Stats
JuliaPy/PyCall.jl is an open source project licensed under MIT License which is an OSI approved license.
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