Metadata-Version: 1.1
Name: qsdsan
Version: 0.3.7
Summary: Quantitative Sustainable Design for sanitation and resource recovery systems
Home-page: https://github.com/QSD-Group/QSDsan
Author: Quantitative Sustainable Design Group
Author-email: quantitative.sustainable.design@gmail.com
License: UIUC
Description: ====================================================================================
        QSDsan: Quantitative Sustainable Design for sanitation and resource recovery systems
        ====================================================================================
        
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        .. contents::
        
        What is ``QSDsan``?
        -------------------
        ``QSDsan`` is an open-source, community-led platform for the quantitative sustainable design (QSD) of sanitation and resource recovery systems. It is one of a series of platforms that are being developed for the execution of QSD - a methodology for the research, design, and deployment of technologies and inform decision-making [1]_. It leverages the structure and modules developed in the `BioSTEAM <https://github.com/BioSTEAMDevelopmentGroup/biosteam>`_ platform [2]_ with additional functions tailored to sanitation processes.
        
        As an open-source and impact-driven platform, QSDsan aims to identify configuration combinations, systematically probe interdependencies across technologies, and identify key sensitivities to contextual assumptions through the use of quantitative sustainable design methods (techno-economic analysis and life cycle assessment and under uncertainty). 
        
        All systems developed with ``QSDsan`` are included in the package `EXPOsan <https://github.com/QSD-Group/EXPOsan>`_ - exposition of sanitation and resource recovery systems.
        
        
        Installation
        ------------
        The easiest way is through ``pip``, in command/Anaconda prompt (Windows) or terminal (macOS):
        
        .. code::
        
            pip install qsdsan
        
        You can also download the package from `PyPI <https://pypi.org/project/qsdsan/>`_.
        
        Note that development of this package is currently under initial stage with limited backward compatibility, please feel free to `submit an issue <https://github.com/QSD-Group/QSDsan/issues>`_ for any questions regarding package upgrading.
        
        If you prefer the most recent version on GitHub, please follow the steps in the `Contributing to QSDsan <https://qsdsan.readthedocs.io/en/latest/CONTRIBUTING.html>`_ section of the documentation.
        
        
        Documentation
        -------------
        You can find tutorials and documents at:
        
           https://qsdsan.readthedocs.io
        
        All tutorials are written using Jupyter Notebook, you can run your own Jupyter environment, or you can click the ``launch binder`` badge on the top to launch the environment in your browser.
        
        For each of these tutorials, we are also recording videos where one of the QSD group members will go through the tutorial step-by-step. We are gradually releasing these videos on our `YouTube channel <https://www.youtube.com/channel/UC8fyVeo9xf10KeuZ_4vC_GA>`_ so subscribe to receive updates!
        
        Additionally, we are actively developing education modules for QSDsan (and other libraries/packages developed by the QSD group, you can find them in the `QSDedu repository <https://github.com/QSD-Group/QSDedu>`_).
        
        
        About the authors
        -----------------
        Development and maintenance of the package is supported by the Quantitative Sustainable Design Group led by members of the `Guest Group <http://engineeringforsustainability.com/>`_ at the `University of Illinois Urbana-Champaign (UIUC) <https://illinois.edu/>`_. Core contributors are listed below, please refer to the `author page <https://qsdsan.readthedocs.io/en/latest/AUTHORS.html>`_ for the full list of authors.
        
        **Lead developers:**
           - `Yalin Li <mailto:zoe.yalin.li@gmail.com>`_ (current maintainer)
           - `Joy Zhang <mailto:joycheung1994@gmail.com>`_
        
        **Tutorials and videos:**
           - `Yalin Li <mailto:zoe.yalin.li@gmail.com>`_
           - `Joy Zhang <mailto:joycheung1994@gmail.com>`_
           - Tori Morgan
           - Hannah Lohman
        
        **Project conception & funding support:**
           - `Jeremy Guest <mailto:jsguest@illinois.edu>`_
        
        **Special acknowledgement:**
           - Yoel Cortés-Peña for helping many of the ``QSDsan`` members get started on Python and package development.
        
        
        Contributing
        ------------
        Please refer to the `Contributing to QSDsan <https://qsdsan.readthedocs.io/en/latest/CONTRIBUTING.html>`_ section of the documentation for instructions and guidelines.
        
        
        License information
        -------------------
        Please refer to the ``LICENSE.txt`` for information on the terms & conditions for usage of this software, and a DISCLAIMER OF ALL WARRANTIES.
        
        References
        ----------
        .. [1] Li, Y.; Trimmer, J. T.; Hand, S.; Zhang, X.; Chambers, K. G.; Lohman, H. A. C.; Shi, R.; Byrne, D. M.; Cook, S. M.; Guest, J. S. Quantitative Sustainable Design (QSD): A Methodology for the Prioritization of Research, Development, and Deployment of Technologies. *Critial Review Proposal Submitted*, 2021.
        
        .. [2] Cortés-Peña, Y.; Kumar, D.; Singh, V.; Guest, J. S. BioSTEAM: A Fast and Flexible Platform for the Design, Simulation, and Techno-Economic Analysis of Biorefineries under Uncertainty. ACS Sustainable Chem. Eng. 2020, 8 (8), 3302–3310. https://doi.org/10.1021/acssuschemeng.9b07040.
Keywords: quantitative sustainable design,sanitation,resource recovery,techno-economic analysis,life cycle assessment
Platform: Windows
Platform: Mac
Platform: Linux
Classifier: License :: OSI Approved :: University of Illinois/NCSA Open Source License
Classifier: Environment :: Console
Classifier: Topic :: Education
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Manufacturing
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: POSIX :: BSD
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
