shenfun
prometeo
| shenfun | prometeo | |
|---|---|---|
| 1 | 11 | |
| 183 | 610 | |
| 3.3% | - | |
| 8.2 | 0.0 | |
| 3 months ago | almost 2 years ago | |
| Python | Python | |
| BSD 2-clause "Simplified" License | BSD 2-clause "Simplified" License |
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shenfun
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[February] Programming languages for CFD
MPI in Python works just as well as in C++. I believe I've heard that codes such as shenfun beat many other spectral DNS codes, most of which are not coded using mpi4py, but I do not have any personal experience with it. https://github.com/spectralDNS/shenfun
prometeo
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Borgo is a statically typed language that compiles to Go
Not impossible but I guess you might end up with an extra runtime layer and some more dynamic operations will not be very fast. Or you restrict it to a subset of Python like this project does: https://github.com/zanellia/prometeo
You could of course write a bytecode VM in Golang but I guess that defeats the purpose.
- Are there any libraries that can easily convert Python to C/C#/or C++? Ones where a person doesn't have to "calibrate" it, just, pip install library and then they can have their Python code in C,C#,or C++?
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I made a Python compiler, that can compile Python source down to fast, standalone executables.
Honest question: How does pycom compare to similar tools like Nuitka, prometeo, or mypyc?
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Profiling and Analyzing Performance of Python Programs
If you don't mind switching to a little different syntax of Python, then you also might want to take a look at prometeo - an embedded domain specific language based on Python, specifically aimed at scientific computing. Prometeo programs transpile to pure C code and its performance can be comparable with hand-written C code.
- GitHub - zanellia/prometeo: An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing
- Show HN: Prometeo – a Python-to-C transpiler for high-performance computing
- An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing
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Show HN: prometeo – a Python-to-C transpiler for high-performance computing
This is awesome! The direction of using a subset of python, while leveraging the user base and static typing to accomplish some other everyday task in a different language is very legit IMO.
I took a cursory look at:
https://github.com/zanellia/prometeo/blob/master/prometeo/cg...
It seems quite similar in spirit to
https://github.com/adsharma/py2many/blob/main/pyrs/transpile...
I'm not spending much time on py2many last few months (started a new job). Let me know if any of it sounds useful - especially the ability to transpile to 7-8 languages including Julia, C++ and Rust.
What are some alternatives?
dedalus - A flexible framework for solving PDEs with modern spectral methods.
Octavian.jl - Multi-threaded BLAS-like library that provides pure Julia matrix multiplication
SELF - Spectral Element Library in Fortran
llvm-cbe - resurrected LLVM "C Backend", with improvements
pymor - pyMOR - Model Order Reduction with Python
StaticCompiler.jl - Compiles Julia code to a standalone library (experimental)
vedo - A python module for scientific analysis of 3D data based on VTK and Numpy
acados - Fast and embedded solvers for nonlinear optimal control
Auto-Dota2-Hero-Grid - For Dota 2. Scrape spectral stats (spectral.gg) for the top performing heroes of the last week and put them into hero grid tier lists.
textX - Domain-Specific Languages and parsers in Python made easy http://textx.github.io/textX/
focal - A modern Fortran abstraction layer for OpenCL
MatrixEquations.jl - Solution of Lyapunov, Sylvester and Riccati matrix equations using Julia