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 GAMSPy Discourse Platform.

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-1.11.1.post1.tar.gz (152.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gamspy-1.11.1.post1-py3-none-any.whl (188.3 kB view details)

Uploaded Python 3

File details

Details for the file gamspy-1.11.1.post1.tar.gz.

File metadata

  • Download URL: gamspy-1.11.1.post1.tar.gz
  • Upload date:
  • Size: 152.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.2

File hashes

Hashes for gamspy-1.11.1.post1.tar.gz
Algorithm Hash digest
SHA256 139a38d740b8825e542d95e7242f763e5cbbc72948dceec11fbc245714088bfd
MD5 a317427849c3d075f7279098e43f72d0
BLAKE2b-256 24c046184c249464a441a1ab558b70b913b6bb994b11e1f02e39aca420a31879

See more details on using hashes here.

File details

Details for the file gamspy-1.11.1.post1-py3-none-any.whl.

File metadata

  • Download URL: gamspy-1.11.1.post1-py3-none-any.whl
  • Upload date:
  • Size: 188.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.2

File hashes

Hashes for gamspy-1.11.1.post1-py3-none-any.whl
Algorithm Hash digest
SHA256 47ab8e2a0ad39d9f9707ec7d8a06cc411afd3c04e280c92bdcd57cd468cf5717
MD5 af6a3d4824ff1e281c3e1e03a2fe9b5b
BLAKE2b-256 ec8a2b6d8102784384efc7c3403833e295c846d7d68e8b2df13dcde359bc058c

See more details on using hashes here.

Supported by

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