PyCall.jl
pyml
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| PyCall.jl | pyml | |
|---|---|---|
| 28 | 3 | |
| 1,437 | 173 | |
| 1.1% | - | |
| 6.1 | 5.6 | |
| about 1 month ago | 3 months ago | |
| Julia | OCaml | |
| MIT License | BSD 2-clause "Simplified" License |
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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.
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
pyml
What are some alternatives?
py2many - Transpiler of Python to many other languages
libpython-clj - Python bindings for Clojure
julia - The Julia Programming Language
quarchive - Traditional "Web 2.0" social bookmarking, with small improvements
Revise.jl - Automatically update function definitions in a running Julia session
erlang-port-with-python
Genie.jl - 🧞The highly productive Julia web framework
awesome-ocaml - A curated collection of awesome OCaml tools, frameworks, libraries and articles.
fast-ruby - :dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.
Nuitka - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
are-we-fast-yet - Are We Fast Yet? Comparing Language Implementations with Objects, Closures, and Arrays
doctest - The fastest feature-rich C++11/14/17/20/23 single-header testing framework