Skip to main content

Python-based algebraic modeling interface to GAMS

Project description

plot


PyPI version Downloads Documentation Status

GAMSPy: Algebraic Modeling Interface to GAMS

Installation

pip install gamspy

What is it?

gamspy is a mathematical optimization package that combines the power of the high performance GAMS execution system and flexibility of the Python language. It includes all GAMS symbols (Set, Alias, Parameter, Variable, and Equation) to compose mathematical models, a math package, and various utility functions.

Documentation

The official documentation is hosted on GAMSPy Readthedocs.

Design Philosophy

GAMSPy makes extensive use of set based operations -- the absence of any explicit looping, indexing, etc., in native Python. These things are taking place, of course, just “behind the scenes” in optimized, pre-compiled C code.

Set based approach has many advantages:

  • Results in more concise Python code -- avoids inefficient and difficult to read for loops
  • Closely resembles standard mathematical notation
  • Easier to read
  • Fewer lines of code generally means fewer bugs

Main Features

Here are just a few of the things that gamspy does well:

  • Specify model algebra in Python natively
  • Combines the flexibility of Python programming flow controls and the power of model specification in GAMS
  • Test a variety of solvers on a model by changing only one line

Getting Help

For usage questions, the best place to go to is GAMSPy Documentation. General questions and discussions can also take place on the GAMS World Forum.

Discussion and Development

If you have a design request or concern, please write to gamspy@gams.com.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gamspy-0.14.5.tar.gz (103.4 kB view details)

Uploaded Source

Built Distribution

gamspy-0.14.5-py3-none-any.whl (126.7 kB view details)

Uploaded Python 3

File details

Details for the file gamspy-0.14.5.tar.gz.

File metadata

  • Download URL: gamspy-0.14.5.tar.gz
  • Upload date:
  • Size: 103.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for gamspy-0.14.5.tar.gz
Algorithm Hash digest
SHA256 cbd5f194bfd58e8fc0ad4ea3f0d04787392825f1507f49ff337f154812f96452
MD5 5239a189f3504d26d8f84989076a9218
BLAKE2b-256 1f78a730d8cc78fe6a99d8f3c401455653874542ea736eb9d72aa5ee0414ddd0

See more details on using hashes here.

File details

Details for the file gamspy-0.14.5-py3-none-any.whl.

File metadata

  • Download URL: gamspy-0.14.5-py3-none-any.whl
  • Upload date:
  • Size: 126.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for gamspy-0.14.5-py3-none-any.whl
Algorithm Hash digest
SHA256 f1a7435e2b820ab17ef7fc6df0dc1d52d73dd45b650cbf4c6b87acdbf2205382
MD5 79b904d8358af5989e9aadd2017229c0
BLAKE2b-256 8fcfe8a651b59d36c34eed18c914a389c209fa85de3eaa5809ec020740da6757

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page