Skip to main content

Soft-Computing algorithms and helpers for lecture and exercises - Intelligent Embedded Systems (IES), University of Kassel

Project description

# Soft-Computing - Python Package

This python package contains python code used in the lectures and exercises of the IES Soft-Computing course.

## virtual environment

~~~bash python -m venv softcomp-py source ./softcomp-py/bin/activate ~~~

## install package

~~~bash pip install -r requirements.txt python setup.py install –user ~~~

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

soft_comp-0.0.1.dev19-py3-none-any.whl (13.7 kB view details)

Uploaded Python 3

File details

Details for the file soft_comp-0.0.1.dev19-py3-none-any.whl.

File metadata

File hashes

Hashes for soft_comp-0.0.1.dev19-py3-none-any.whl
Algorithm Hash digest
SHA256 e602b3c6b155b3cd7b2e7e48028155df546a9896ab9e173687264b83684fffde
MD5 7dd2e1d87fd9124f83e150d6cc87027a
BLAKE2b-256 1ad3356552fb959114dd5a45d4eeb7783e4710db54b952a5c33bd828a8366627

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