Optimization-Python
minizinc-python
| Optimization-Python | minizinc-python | |
|---|---|---|
| 1 | 3 | |
| 221 | 132 | |
| - | 1.5% | |
| 0.0 | 8.4 | |
| over 2 years ago | 7 days ago | |
| Jupyter Notebook | Python | |
| MIT License | Mozilla Public License 2.0 |
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Optimization-Python
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What is the best DCA Strategy - Part IV (Dynamic DCA)
One approach to this problem is based on the Nobel prize winning Modern Portfolio Theory (MPT). In fact, there we can use pretty simple code available online: https://github.com/tirthajyoti/Optimization-Python/blob/master/Portfolio_optimization.ipynb. There is a one BIG difference between DCA and MPT though. Here, we do not want to do a one-time purchase and try to gain maximum profit. We are looking at a dual problem, where we want to purchase regularly, while aiming maximum accumulation.
minizinc-python
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Matrix / 2d Array Puzzle-Like Problem
Now, you say you need to solve this using Python. I would personally either use the MiniZinc Python driver or I would use the OR-Tools Python package and write a similar model to the one above.
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Discrete optimization for on-call scheduling
Btw, MiniZinc team recently released a python binding https://github.com/MiniZinc/minizinc-python which is quite nice to use.
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Constraint Programming in Python or How to Solve Traveling Salesman Problem just Describing it.
minizinc-python solves the second issue, by providing the way to call minizinc models from python, the library will run minizinc, serialize your input and parse output, but the programmer still should write quite a lot lines of code. We can look at the example of solving square equation solving:
What are some alternatives?
market-making-backtest - algo trading backtesting on BitMEX
kanren - An extensible, lightweight relational/logic programming DSL written in pure Python
portfolio_allocation_js - A JavaScript library to allocate and optimize financial portfolios.
yuck - Yuck is a local-search constraint solver with FlatZinc interface
cocp - Source code for the examples accompanying the paper "Learning convex optimization control policies."
solver - SAT solver library in Go; wraps around Google's Operational Research Tools
JuMP.jl - Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
python-mip - Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
Optimus * 96 - Optimus is a mathematical programming library for Scala.
TheAlgorithms - All Algorithms implemented in Python
psi4numpy - Combining Psi4 and Numpy for education and development.
Simplex_Numpy - Creating a Linear Program Solver by Implementing the Simplex Method in Python with NumPy