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-1.1.0.post1.tar.gz (116.1 kB view details)

Uploaded Source

Built Distribution

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

gamspy-1.1.0.post1-py3-none-any.whl (147.2 kB view details)

Uploaded Python 3

File details

Details for the file gamspy-1.1.0.post1.tar.gz.

File metadata

  • Download URL: gamspy-1.1.0.post1.tar.gz
  • Upload date:
  • Size: 116.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for gamspy-1.1.0.post1.tar.gz
Algorithm Hash digest
SHA256 0e271ce37e446eadfa6b3342da6bae2700ad79217ff109e4b0d9395ba7a41ca6
MD5 57ae14630c7a40a4a4184a2f97583254
BLAKE2b-256 82ad662bd97da01b9afd72445ce1e454726126c7b851515f3611bfa81d944f3b

See more details on using hashes here.

File details

Details for the file gamspy-1.1.0.post1-py3-none-any.whl.

File metadata

  • Download URL: gamspy-1.1.0.post1-py3-none-any.whl
  • Upload date:
  • Size: 147.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for gamspy-1.1.0.post1-py3-none-any.whl
Algorithm Hash digest
SHA256 2cc1d7dfe368c6aa7b4108b226a3a13a7c458c9cc18df072d9ef763da0eab8f7
MD5 8349ee10a7fec64d536b2cbef055fdfa
BLAKE2b-256 c03dcfd5660e55484c0dd4b82121df8af89bd3ffe8dafb18553f94a06aa108d5

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