PySCIPOpt
gopy
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| PySCIPOpt | gopy | |
|---|---|---|
| 5 | 5 | |
| 749 | 1,863 | |
| 3.3% | 2.2% | |
| 9.4 | 6.7 | |
| about 11 hours ago | 6 days ago | |
| JetBrains MPS | Go | |
| MIT License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
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)
gopy
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Making Python 100x faster with less than 100 lines of Rust
I've used gopy[0] recently to access a go library in Python. It surprisingly Just Worked, but I was disappointed by some performance issues, like converting lists to slices.
[0] https://github.com/go-python/gopy
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Golang vs python for AI
the heavy lifting is done in native libraries and you get to experiment fast using an easy language. the combo is quite hard to beat. Now there is a missed opportunity to write such libraries in Go, but as I read here and there Go is hard to integrate well as a library. There is gopy but it's light years away from PyO3 for instance, I don't think it'll ever gain traction, but who knows.
- Is the statement true, that Python and its ecosystem lacks speed for mission-critical large-scale applications?
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I went about learning Rust
> So if you learn Go, you'll never be able to use it to interoperate with e.g. your Python program to speed it up.
Never done it myself, but:
https://www.ardanlabs.com/blog/2020/07/extending-python-with...
https://github.com/go-python/gopy
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Rust or C/C++ to learn as a secondary language?
Check out gopy for an easy way to extend your Python code with Go.
What are some alternatives?
pyomo - An object-oriented algebraic modeling language in Python for structured optimization problems.
Pulumi - Pulumi - Infrastructure as Code in any programming language. Build infrastructure intuitively on any cloud using familiar languages 🚀
pulp - A python Linear Programming API
prisma-engines - 🚂 Engine components of Prisma ORM
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
poly-match - Source for the "Making Python 100x faster with less than 100 lines of Rust" blog post
Bonmin - Basic Open-source Nonlinear Mixed INteger programming
cpy3 - Go bindings to the CPython-3 API
pyimgui - Cython-based Python bindings for dear imgui
PythonCall.jl - Python and Julia in harmony.
mypyc - Compile type annotated Python to fast C extensions
NodeCall.jl - Call NodeJS from Julia.