python-rust-arrow-interop-example
PyCall.jl
| python-rust-arrow-interop-example | PyCall.jl | |
|---|---|---|
| 2 | 28 | |
| 19 | 1,438 | |
| - | 0.3% | |
| 2.4 | 6.1 | |
| 3 months ago | about 2 months ago | |
| Rust | Julia | |
| Apache License 2.0 | 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.
python-rust-arrow-interop-example
- Use rust code in Python with pyo3
-
Apache Arrow and DataFusion 3.0
I condensed it to a simple example. Can't wait to see this officially supported to write fast operations that are not natively available.
PyCall.jl
-
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
-
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?
-
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?
-
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
-
Interoperability in Julia
It is possible to call Python from Julia using PyCall. Then to install PyCall, run the command in the Julia REPL.
-
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?
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
py2many - Transpiler of Python to many other languages
pyo3-deserializer - An example deserializer written in Rust, callable from Python
Revise.jl - Automatically update function definitions in a running Julia session
maturin - Build and publish crates with pyo3, cffi and uniffi bindings as well as rust binaries as python packages
julia - The Julia Programming Language
pyttfwrap - Preview how plain text would wrap were it rendered with a given ttf font for a given line width
Genie.jl - 🧞The highly productive Julia web framework
are-we-fast-yet - Are We Fast Yet? Comparing Language Implementations with Objects, Closures, and Arrays
fast-ruby - :dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.
libffi - A portable foreign-function interface library.
RCall.jl - Call R from Julia