Skip to main content

A package for soft computing in Python.

Project description

softpy

This is the GitHub repository for the softpy library, a Python library for soft computing, currently focused on fuzzy systems and evolutionary computing. It was originally developed for educational purposes within th Laboratory class of the Fuzzy Systems and Evolutionary Computing course, offered at the 2nd year of the Bachelor of Science in Artificial Intelligence at University of Milano-Bicocca.

The aim of the library is to provide a practical implementation of the main ideas in soft computing, specifically fuzzy systems and evolutionary computing.

THe library is released as open-source and available on GitHub and pypi.

Main Developer: Andrea Campagner (PhD) Affiliation: Post-Doc Researcher at IRCCS Istituto Ortopedico Galeazzi, Milan, Italy

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

softpy-0.1.3.tar.gz (27.4 kB view details)

Uploaded Source

File details

Details for the file softpy-0.1.3.tar.gz.

File metadata

  • Download URL: softpy-0.1.3.tar.gz
  • Upload date:
  • Size: 27.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.2

File hashes

Hashes for softpy-0.1.3.tar.gz
Algorithm Hash digest
SHA256 188e753045835619f29ee6f4fe53bec7ea5f05fb6c2f97bdb56835cc0ac2b37c
MD5 8bb3ee8323516a5d959b430d1e5e952e
BLAKE2b-256 29638820db07500ff33a525e132c9cf5bdb750a860c6f7a9792a8ddf36c16b95

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