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.

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

Project details

Release history Release notifications | RSS feed

0.0.5

May 10, 2024

0.0.4

May 6, 2024

0.0.3

May 2, 2024

This version

0.0.2

Mar 11, 2024

0.0.1

Mar 10, 2024

Download files

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

Source Distribution

softpy-0.0.2.tar.gz (15.4 kB view details)

Uploaded Mar 11, 2024 Source

File details

Details for the file softpy-0.0.2.tar.gz.

File metadata

Download URL: softpy-0.0.2.tar.gz
Upload date: Mar 11, 2024
Size: 15.4 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.0.0 CPython/3.10.13

File hashes

Hashes for softpy-0.0.2.tar.gz
Algorithm	Hash digest
SHA256	`8f819506dfec0adf96b8f06784a35e61052d1b4cf9eaf175a574f3e73edd7f5f`
MD5	`64cd8c63e426e7ee85a3e1ad7ca0b8c5`
BLAKE2b-256	`d48cd5c1aec3e790236cc959970c264ab603031204a294561f3855e622325bbe`