awesome-ocaml
PyCall.jl
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awesome-ocaml | PyCall.jl | |
---|---|---|
2 | 28 | |
2,677 | 1,435 | |
1.2% | 1.3% | |
6.5 | 6.1 | |
21 days ago | 18 days ago | |
Julia | ||
- | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
awesome-ocaml
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Real World OCaml – Functional programming for the masses
I haven't spent enough time with dune to form an opinion (go and cargo are absolutely marvelous though) but a quick search[0] reveals that dune is not the only option.
[0] <https://github.com/ocaml-community/awesome-ocaml#package-man...>
- OCaml is getting multicore support in the next major version (v5)
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).
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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.
What are some alternatives?
py2many - Transpiler of Python to many other languages
julia - The Julia Programming Language
Revise.jl - Automatically update function definitions in a running Julia session
Genie.jl - 🧞The highly productive Julia web framework
fast-ruby - :dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.
are-we-fast-yet - Are We Fast Yet? Comparing Language Implementations with Objects, Closures, and Arrays
libffi - A portable foreign-function interface library.
RCall.jl - Call R from Julia
typeshed - Collection of library stubs for Python, with static types
Slick - Slick (Scala Language Integrated Connection Kit) is a modern database query and access library for Scala
book - V2 of Real World OCaml
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing