semvec/pypi-packages huggingface dataset:
pyslice 6.0.3
Specialized templating engine do develop a parameterized set of model data sets
License: BSD-3-Clause
Requires Python: >=3.8
Keywords: monte-carlo, simulation, model, parametric, model-parameters, cli-app

.. image:: https://github.com/timcera/pyslice/actions/workflows/pypi-package.yml/badge.svg
    :alt: Tests
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    :alt: Test Coverage
    :target: https://coveralls.io/r/timcera/pyslice?branch=master
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    :alt: Latest release
    :target: https://pypi.python.org/pypi/pyslice/
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    :alt: BSD-3 clause license
    :target: https://pypi.python.org/pypi/pyslice/
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    :alt: PyPI - Python Version
    :target: https://pypi.org/project/pyslice/
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Welcome to pyslice - dataset template engine's documentation!
=============================================================
pyslice is a specialized templating system that replaces variables in
a template data set with numbers taken from all combinations of a grouped
series of numbers. It creates a dataset from input template files for each
combination of variables in the series.

The main function of pyslice is to provide utility functions for parametric
modeling. Parametric modeling is a process of varying many inputs to a model.
A drawback to parametric modeling is that there are usually hundreds to
thousands of data sets to prepare and a corresponding number of model runs.
pyslice will create the model data sets and manage the model runs, or place the
model runs in a queue managed by other software. pyslice is also useful in
establishing the sensitivity of a model to changing parameters.

Documentation
=============
Reference documentation is at https://timcera.bitbucket.io/pyslice/docs/index.html

Installation
============
pip
~~~
.. code-block:: bash

    pip install pyslice

conda
~~~~~
.. code-block:: bash

    conda install -c conda-forge pyslice

Development
===========
Development is managed on bitbucket at
https://bitbucket.org/timcera/pyslice/overview.