{ "info": { "author": "Pascal Lesage", "author_email": "pascal.lesage@polymtl.ca", "bugtrack_url": null, "classifiers": [ "Intended Audience :: Developers", "Intended Audience :: End Users/Desktop", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Operating System :: MacOS :: MacOS X", "Operating System :: Microsoft :: Windows", "Operating System :: POSIX", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Topic :: Scientific/Engineering :: Information Analysis", "Topic :: Scientific/Engineering :: Mathematics" ], "description": "# presamples ![](presamples_logo.png) \n\n Package to write, load, manage and verify numerical arrays, called `presamples`.\n\n Initially written for scenario analysis and for the reuse of sampled data in Monte Carlo Simulations\n in the [Brightway LCA framework](https://brightwaylca.org/).\n\n However, the presamples package is software-generic and built on the datapackage\tstandard\tby\t\n Open\tKnowledge\tFoundation. \n\n Presamples are useful anytime values for named parameters or matrix elements need to be saved and reused.\n\n **Documentation**: We are in the process of writing better documentation. \n - To read our documentation \"under construction\", go to our [readthedocs](https://presamples.readthedocs.io/en/latest/?badge=latest) page. \n - If you can't find what you are looking for, you can also try the Jupyter Notebook [here](https://github.com/PascalLesage/presamples/blob/master/docs/presamples%20docs%20and%20examples.ipynb)\n\n **Examples**: We will include links to examples in our documentations. 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