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sierras

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sierras is a tool for empirical Arrhenius equation fitting for thermally-induced physicochemical processes.

Requirements

You need Python 3.8+ to run sierras.

Installation

You can install the most recent stable release of sierras with pip

python -m pip install -U pip
python -m pip install -U sierras

Usage

A simple example of use:

import sierras

areg = sierras.ArrheniusRegressor()

areg.fit(Temperatures, target_process)

areg.activation_energy_  # in this case in eV
areg.extrapolated_process_  # extrapolated process at room temperature

areg.plot.arrhenius(Temperatures, target_process)  # plot the fitting

For a more detailed explanation you can read the tutorial and the API.

License

MIT License

Contact info

You can contact me at ffernandev@gmail.com

Metadata

Release files for sierras 0.2.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for sierras 0.2.4
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sierras-0.2.4.tar.gz 6.6 kB Details

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Table of built distributions (wheels) for sierras 0.2.4
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sierras-0.2.4-py3-none-any.whl Python 3 none any Details

Total release size: 12.3 kB

Release files / sierras-0.2.4.tar.gz

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