PySCIPOpt
mypyc
PySCIPOpt | mypyc | |
---|---|---|
5 | 25 | |
749 | 1,667 | |
1.3% | 0.1% | |
9.4 | 0.0 | |
3 days ago | about 1 year ago | |
JetBrains MPS | ||
MIT License | - |
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PySCIPOpt
- GitHub - scipopt/PySCIPOpt: Python interface for the SCIP Optimization Suite
- Python Interface for the SCIP Optimization Suite
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Rust or C/C++ to learn as a secondary language?
It’s impossible to recommend the right tool for the job, and honestly, depending on how much maths you know it might be hard to make progress, but I’d put money on a constraint solver reducing the time from hours to seconds. Can recommend this one https://github.com/scipopt/PySCIPOpt
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Python open-source solvers
I guess that pySCIP might be what you are looking for. Note that SCIP only supports linear objectives. However, since quadratic constraints are supported, you can easily use an auxiliary constraint to present the objective, e.g. min z s.t. z <= x*x.
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Error installing pyscipopt
From the docs (https://github.com/scipopt/PySCIPOpt/blob/master/INSTALL.md#installation-from-pypi)
mypyc
- Making use of type hints
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Writing Python like it's Rust
That would be interesting! You might already be aware. But there's mypyc[0], which is an AOT compiler for Python code with type hints (that, IIRC, mypy uses to compile itself into a native extension).
Wanted to give you a head-start on the lit-review for your students I guess :)
[0] https://github.com/mypyc/mypyc
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The different uses of Python type hints
https://github.com/mypyc/mypyc
> Mypyc compiles Python modules to C extensions. It uses standard Python type hints to generate fast code. Mypyc uses mypy to perform type checking and type inference.
> Mypyc can compile anything from one module to an entire codebase. The mypy project has been using mypyc to compile mypy since 2019, giving it a 4x performance boost over regular Python.
I have not experience a 4x boost, rather between 1.5x and 2x. I guess it depends on the code.
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The Python Paradox
Funny how emergence works with tools. Give a language too few tools but viral circumstances - the ecosystem diverges (Lisps, Javascript). Give it too long an iteration time but killer guarantees, you end up with committees. Python not falling into either of these traps should be understood as nothing short of magic in emergence.
I only recently discovered that python's reference typechecker, mypy, has a small side project for typed python to emit C [1], written entirely in python. Nowadays with python's rich specializer ecosystem (LLVM, CUDA, and just generally vectorized math), the value of writing a small program in anything else diminishes quickly.
Imagine reading the C++wg release notes in the same mood that you would the python release notes.
[1] https://github.com/mypyc/mypyc
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Codon: A high-performance Python compiler
> Note that the mypyc issue tracker lives in this repository! Please don't file mypyc issues in the mypy issue tracker.
See https://github.com/mypyc/mypyc/blob/master/show_me_the_code....
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ELI5: Can’t one write a compiler for Python and make everything go brrrr?
And mypyc https://github.com/mypyc/mypyc
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Is it time for Python to have a statically-typed, compiled, fast superset?
More recent approaches include mypyc which is (on the tin) quite close to what you describe, and taichi that lives in between.
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Pholyglot version 0.0.0 (PHP to PHP+C polyglot transpiler)
Have you encountered mypyc?
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Python 3.11 is 25% faster than 3.10 on average
https://github.com/mypyc/mypyc
> Mypyc compiles Python modules to C extensions. It uses standard Python type hints to generate fast code. Mypyc uses mypy to perform type checking and type inference.
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Comparing implementations of the Monkey language VIII: The Spectacular Interpreted Special (Ruby, Python and Lua)
Regarding the large execution time mentioned in your article, I discovered (mypyc)[https://github.com/mypyc/mypyc] on this subreddit in a post from the black formatter team https://www.reddit.com/r/Python/comments/v2009i/im_that_person_who_got_black_compiled_with_mypyc/?utm_medium=android_app&utm_source=share
What are some alternatives?
pyomo - An object-oriented algebraic modeling language in Python for structured optimization problems.
Cython - The most widely used Python to C compiler
pulp - A python Linear Programming API
mypy - Optional static typing for Python
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
beartype - Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
Bonmin - Basic Open-source Nonlinear Mixed INteger programming
CPython - The Python programming language
gopy - gopy generates a CPython extension module from a go package.
pex - A tool for generating .pex (Python EXecutable) files, lock files and venvs.
pyimgui - Cython-based Python bindings for dear imgui
pyccel - Python extension language using accelerators