Metadata-Version: 1.2
Name: swolfpy
Version: 0.1.6
Summary: Solid Waste Optimization Life-cycle Framework in Python(SwolfPy)
Home-page: https://bitbucket.org/swolfpy/swolfpy
Author: Mojtaba Sardarmehni
Author-email: msardar2@ncsu.edu
License: GNU GENERAL PUBLIC LICENSE V2
Description: .. General
        
        ================================================================
        Solid Waste Optimization Life-cycle Framework in Python(swolfpy)
        ================================================================
        
        .. image:: https://img.shields.io/pypi/v/swolfpy.svg
                :target: https://pypi.python.org/pypi/swolfpy
                
        .. image:: https://img.shields.io/pypi/pyversions/swolfpy.svg
            :target: https://pypi.org/project/swolfpy/
            :alt: Supported Python Versions
        
        .. image:: https://img.shields.io/pypi/l/swolfpy.svg
            :target: https://pypi.org/project/swolfpy/
            :alt: License
        
        .. image:: https://img.shields.io/pypi/format/swolfpy.svg
            :target: https://pypi.org/project/swolfpy/
            :alt: Format
        
        .. image:: https://readthedocs.org/projects/swolfpy/badge/?version=latest
                :target: https://swolfpy.readthedocs.io/en/latest/?badge=latest
                :alt: Documentation Status
        
        
        * Free software: GNU GENERAL PUBLIC LICENSE V2
        * Documentation: https://swolfpy.readthedocs.io.
        * Repository: https://bitbucket.org/swolfpy/swolfpy
        * Other links: 
                https://go.ncsu.edu/swolfpy
        
                https://jwlevis.wixsite.com/swolf
        
        
        Features
        --------
        
        * Life cycle assessment of Municipal Solid Waste (MSW) systems. Process models include Landfill, Waste-to-Energy (WTE), Composting, Anaerobic Digestion (AD), Single Stream Material Recovery Facility (MRF), Reprocessing, and Collection.
        * Monte Carlo simulation
        * Optimization
        
        
        .. Installation
        
        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- Add conda channels::
        
                conda config --append channels conda-forge
                conda config --append channels cmutel
                conda config --append channels haasad
        
        4- Create a new environment for PySWOLF::
        
                conda create --name swolfpy python=3.7
        
        5- Activate the environment::
        
                conda activate swolfpy
        
        6- Install PySWOLF in the environment::
        
                pip install swolfpy
        
        7- Open python to run swolfpy::
        
                ipython
        
        8- Run swolfpy in python::
        
                from swolfpy import *
                swolfpy()
        
        .. endInstallation
        
        
        =======
        History
        =======
        
        0.1.6 (2020-04-11)
        ------------------
        
        * Add Reporcessing. Revise Functional units. Reivse parameters class.
        
        
        0.1.0 (2020-02-27)
        ------------------
        
        * First release on PyPI. Main functionality: LCA, Monte-Carlo, and Optimization. Process Models include LF, WTE, Composting, AD, SS_MRF nd Collection.
        
Keywords: swolfpy
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v2 (GPLv2)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Natural Language :: English
Requires-Python: >=3.5
