cmssw
PyCall.jl
cmssw | PyCall.jl | |
---|---|---|
2 | 28 | |
1,051 | 1,439 | |
1.0% | 0.3% | |
10.0 | 6.1 | |
4 days ago | 2 months ago | |
C++ | Julia | |
Apache License 2.0 | MIT License |
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cmssw
- Torvalds wants new NTFS driver in kernel
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Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?
I don’t have much insight on the scientific computing landscape in general, but here’s one notable data point: I worked on the CMS experiment of LHC (Large Hadron Collider) for a while, which is one of the highest profile experiments in experimental physics. The majority of CMS code is C++, which you can check for yourself at https://github.com/cms-sw/cmssw (yes, much/most? of the code is open source). What I worked on specifically was prototyped in Python, then ported to C++ and plugged into the massive data processing pipeline where performance is critical due to the sheer amount of data. So I probably wouldn’t put C++ in parentheses.
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
What are some alternatives?
Genie.jl - 🧞The highly productive Julia web framework
py2many - Transpiler of Python to many other languages
Chain.jl - A Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.
Revise.jl - Automatically update function definitions in a running Julia session
RCall.jl - Call R from Julia
julia - The Julia Programming Language
VegaLite.jl - Julia bindings to Vega-Lite
org-mode - This is a MIRROR only, do not send PR.
are-we-fast-yet - Are We Fast Yet? Comparing Language Implementations with Objects, Closures, and Arrays
Transformers.jl - Julia Implementation of Transformer models
fast-ruby - :dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.