Input data for Solid Waste Optimization Life-cycle Framework in Python(SwolfPy)
Project description
Solid Waste Optimization Life-cycle Framework in Python(swolfpy)
Free software: GNU GENERAL PUBLIC LICENSE V2
Documentation: https://swolfpy.readthedocs.io.
Repository: https://bitbucket.org/swolfpy/swolfpy_inputdata
Features
Input data for Life-cycle process models of swolfpy, include: Landfill, Waste-to-Energy (WTE), Composting, Anaerobic Digestion (AD), Single Stream Material Recovery Facility (MRF), Reprocessing, and Collection.
Monte Carlo simulation
Installation
1- Download and install miniconda from: https://docs.conda.io/en/latest/miniconda.html
2- Update conda in a terminal window or anaconda prompt:
conda update conda
3- Create a new environment for swolfpy_inputdata:
conda create --name swolfpy python=3.7
4- Activate the environment:
conda activate swolfpy
5- Install swolfpy_inputdata in the environment:
pip install swolfpy_inputdata
History
0.1.0 (2020-05-06)
First release on PyPI. Data for the Life-cycle process models include: LF, WTE, Composting, AD, SS_MRF, reprocessing and Collection.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for swolfpy_inputdata-0.1.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b17e7ac8d2160b5852c9f3f50fa0ec0925059e880d6290ba5a05bad983fcc855 |
|
MD5 | eb81d77178843fd0387f905bf4ddd2b4 |
|
BLAKE2b-256 | fced50c2185dd11df7884f91230928fb0851219002f6a9b3452f42f26e65c678 |